# Splunk AI visibility in Observability & Monitoring

Canonical: https://devtune.ai/verticals/observability-monitoring/splunk

[Website](https://www.splunk.com/)

Updated: 2026-10-15T01:11:58.916899+00:00
Prompts: 25
Runs: 6


## Platforms

- chatgpt-search
- perplexity
- bing-copilot-search
- google-ai-mode
- google-ai
- xai-search

Rank: 7
Total brands: 14
Measured responses: 150
Presence percent: 10
Share of voice percent: 7.011070110701106
Average position: 19.57894736842105
Docs presence percent: 0.6666666666666667
Blog presence percent: 4.666666666666667
Brand mention percent: 32.666666666666664


## Profile

Overview: Splunk is an enterprise data analytics and observability platform, originally founded in 2003 and acquired by Cisco in March 2024 for approximately $28 billion. It enables organizations to collect, index, search, analyze, and visualize machine-generated data from virtually any source at scale. Its platform spans security information and event management (SIEM), security orchestration and automated response (SOAR), full-stack observability, IT service intelligence, and application performance monitoring. Serving over 15,000 customers across 110 countries—including 89 of the Fortune 100—Splunk is deployed across on-premises, cloud, and hybrid environments. It is recognized as a Gartner Magic Quadrant Leader in both SIEM and Observability Platforms, positioning itself as a unified platform for enterprise digital resilience.
Product summary: Splunk delivers a unified data platform spanning observability and security. Core offerings include Splunk Enterprise (self-managed), Splunk Cloud Platform (SaaS), Splunk Observability Cloud (full-stack APM, infrastructure, RUM, synthetic monitoring), Splunk Enterprise Security (SIEM), Splunk SOAR, and IT Service Intelligence (ITSI with AIOps). Post-Cisco acquisition, AppDynamics was merged into the Splunk observability unit. The platform is built on a schema-on-read architecture with OpenTelemetry-native support, AI/ML analytics, and a 2,000+ integration ecosystem via Splunkbase.


### Key capabilities

- Search Processing Language (SPL) for ad-hoc machine data search and analytics
- Full-stack observability: APM, infrastructure monitoring, RUM, synthetic monitoring, distributed tracing (NoSample™)
- SIEM with real-time threat detection, correlation, and MITRE ATT&CK mapping (Splunk Enterprise Security)
- SOAR for automated security orchestration and response playbooks
- AIOps with anomaly detection, alert noise reduction, and predictive analytics (IT Service Intelligence)
- Log management at petabyte scale with schema-on-read indexing
- Customizable dashboards, visualizations, and compliance reporting
- AI/ML-powered analytics including natural language query and GenAI assistant
- Hybrid and multi-cloud deployment (on-premises, SaaS, or private cloud)



### Target users

- Enterprise security operations center (SOC) analysts and CISOs
- IT operations and SRE teams managing hybrid or multi-cloud infrastructure
- DevOps and platform engineering teams monitoring distributed applications
- Compliance and risk management teams in regulated industries
- Fortune 500 and large public-sector organizations requiring scalable data governance
- Managed security service providers (MSSPs) building SOC platforms



### Key use cases

- Security operations center (SOC) monitoring and incident response
- Application performance monitoring and microservices troubleshooting
- IT infrastructure monitoring and AIOps-driven outage prevention
- Compliance reporting (PCI-DSS, HIPAA, GDPR, NIST, ISO 27001)
- Fraud detection and behavioral analytics
- Cloud migration monitoring and hybrid-cloud observability
- Digital experience monitoring (real user and synthetic)
- Log aggregation and root-cause analysis across distributed systems

Integrations ecosystem: Splunk maintains Splunkbase, a marketplace with 2,000+ apps and add-ons built by Splunk, partners, and the community. It supports native OpenTelemetry instrumentation for vendor-agnostic telemetry collection and integrates with major cloud platforms (AWS, Azure, Google Cloud), infrastructure tools (Kubernetes, VMware), databases, SaaS platforms, network devices, and security tools. Post-acquisition integrations include Cisco Talos threat intelligence, Cisco ThousandEyes, and AppDynamics (now unified under the Splunk observability umbrella). SDKs and REST/Management APIs are available via a developer portal. Universal Forwarders provide lightweight data collection across Linux, Windows, and container environments.
Pricing summary: Splunk does not publish standard list prices and requires contacting sales for all paid tiers. The platform offers three core pricing models: Ingest Pricing (charged per GB/day of data indexed, estimated at ~$1,800–$18,000/year for 1–10 GB/day), Workload Pricing (charged per compute unit, suited for variable search workloads), and Entity Pricing (per-host for observability products). A free tier is available capped at 500MB/day with limited features. Observability Cloud offers a 14-day free trial. Enterprise contracts are annual or multi-year; multi-year commitments can yield 20–30% discounts. Third-party data suggests a median customer pays approximately $60,000/year, with significant variance. Implementation, infrastructure, and professional services add 30–50% to total cost of ownership.
Review summary: Splunk receives consistently high marks for its powerful search capabilities (SPL), data ingestion breadth, and dashboard flexibility, with G2 reviewers rating Splunk Enterprise 4.3/5 and Gartner Peer Insights users awarding 4.4/5 across 842 SIEM reviews. Enterprise Security earns 4.5/5 from 390+ Gartner reviews. TrustRadius reviewers rate Splunk ES at 8.4/10. Common praise focuses on real-time visibility, log correlation, and compliance automation; common criticisms center on high and unpredictable costs at scale, a steep SPL learning curve, complex initial setup, and some post-Cisco acquisition uncertainty around roadmap and pricing strategy.
Competitive positioning: Splunk, now a Cisco subsidiary, positions itself as the enterprise-grade unified platform for both security and observability—the only vendor named a Gartner Magic Quadrant Leader in both SIEM and Observability Platforms simultaneously. Its differentiation rests on decades of machine-data expertise, the proprietary Search Processing Language (SPL), a 2,000+ app Splunkbase ecosystem, and Cisco network/telemetry integration. It targets large enterprises and regulated industries that require deep data governance, hybrid/on-prem deployment flexibility, and combined SecOps + ITOps workflows under one platform—areas where cloud-native-only rivals like Datadog or Honeycomb typically do not compete.
Limitations: Splunk's ingest-based pricing model is widely cited as expensive at scale—costs rise sharply with data volume, making it cost-prohibitive for smaller organizations or those with high-cardinality telemetry. The Search Processing Language (SPL) has a steep learning curve, often requiring dedicated expertise. Initial implementation and ongoing administration can demand significant internal resources or third-party services. Some users report limited customization in dashboarding and query UI for non-power users. Post-Cisco acquisition, some customers and partners have raised uncertainty about long-term product roadmap and pricing direction.


### Source urls

- https://www.splunk.com/
- https://www.splunk.com/en_us/newsroom/press-releases/2024/cisco-completes-acquisition-of-splunk.html
- https://www.splunk.com/en_us/products/pricing.html
- https://www.splunk.com/en_us/products/observability-cloud.html
- https://www.splunk.com/en_us/customers.html
- https://www.splunk.com/en_us/customers/success-stories/singapore-airlines.html
- https://www.splunk.com/en_us/customers/success-stories/specsavers.html
- https://www.splunk.com/en_us/customers/success-stories/carrefour.html
- https://www.splunk.com/en_us/customers/success-stories/pxp.html
- https://www.splunk.com/en_us/blog/learn/splunk-product-reviews.html
- https://www.splunk.com/en_us/blog/observability/splunk-leader-in-2025-gartner-magic-quadrant-for-observability-platforms.html
- https://investor.cisco.com/news/news-details/2024/Cisco-Completes-Acquisition-of-Splunk/default.aspx
- https://en.wikipedia.org/wiki/Splunk
- https://www.vendr.com/marketplace/splunk
- https://www.gartner.com/reviews/market/application-performance-monitoring-and-observability/vendor/splunk
- https://www.g2.com/products/splunk-enterprise/reviews

Reviewed at: 2026-04-28T23:19:31.42+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Singapore Airlines | Deployed Splunk to improve system monitoring and reduce application-layer failures, enabling faster detection and resolution of customer-facing issues. | 75%+ faster issue detection; 90% fewer backend issues |
| Specsavers | Adopted Splunk for observability and automation, dramatically reducing mean time to resolution and freeing engineering capacity. | 10x faster MTTR; 25,000 hours saved per month |
| Carrefour | Consolidated legacy SIEM tools into Splunk Cloud Platform, enabling the SOC to detect and respond to security threats significantly faster. | 3x faster threat response times |
| Rent the Runway | Increased adoption of Splunk Observability Cloud eliminated outages and dramatically reduced time to resolve SLA-impacting incidents. | 94% faster MTTR for SLA-impacting incidents; 50% increased developer efficiency during incidents |
| PXP | Used Splunk Cloud Platform to correlate performance data across a complex payment infrastructure, maintaining industry-leading uptime standards. | 99.996% uptime sustained over 4 years |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| G2 | 4.3 | 5 | 410 | https://www.g2.com/products/splunk-enterprise/reviews |
| Gartner Peer Insights (SIEM) | 4.4 | 5 | 842 | https://www.gartner.com/reviews/market/security-information-event-management/vendor/cisco-systems-splunk |
| Gartner Peer Insights (Enterprise Security) | 4.5 | 5 | 390 | https://www.gartner.com/reviews/product/splunk-enterprise-security |
| Gartner Peer Insights (Observability) | 4.5 | 5 | 32 | https://www.gartner.com/reviews/product/splunk-observability-cloud |
| TrustRadius | 8.4 | 10 | 250 | https://www.trustradius.com/products/splunk-cloud/pricing |
| PeerSpot | 4.2 | 5 | 266 | https://www.peerspot.com/vendors/splunk |



### Review themes



#### Praised

- Powerful SPL search and query flexibility
- Real-time log correlation across disparate sources
- Highly customizable dashboards and visualizations
- Broad data source integrations via Splunkbase
- Scalability for enterprise-scale data volumes
- Strong SIEM and compliance reporting capabilities
- Reliable Universal Forwarder architecture
- Active community and extensive documentation



#### Criticized

- High and unpredictable cost as data ingestion scales
- Steep SPL learning curve for new users
- Complex initial setup requiring significant expertise
- Uncertainty around product roadmap post-Cisco acquisition
- Limited dashboard customization for non-technical users
- Risk of budget overruns during high-traffic spikes with ingest pricing
- Heavy reliance on internal SMEs or professional services




### Company facts

Founded year: 2003
Hq: San Francisco, CA, USA


#### Founders

- Michael Baum
- Rob Das
- Erik Swan

Employees range: 5001-10000
Total funding: ~$40M (pre-IPO VC); acquired by Cisco fo
Valuation: Not available
Arr: Not available
Customer count: 15,000+
Status: Subsidiary of Cisco (NASDAQ: CSCO)


Readiness: Not available


## Ranking

| Display name | Pair count | Total pairs | Presence percent | Avg position |
| --- | --- | --- | --- | --- |
| Datadog | 46 | 150 | 30.666666666666664 | 10.60576923076923 |
| New Relic | 45 | 150 | 30 | 10.10576923076923 |
| Grafana | 37 | 150 | 24.666666666666668 | 12.446601941747574 |
| Dynatrace | 23 | 150 | 15.333333333333332 | 24.176470588235293 |
| Elastic | 17 | 150 | 11.333333333333332 | 16.97222222222222 |
| Honeycomb | 17 | 150 | 11.333333333333332 | 18.05 |
| Splunk | 15 | 150 | 10 | 19.57894736842105 |
| Coralogix | 7 | 150 | 4.666666666666667 | 6.588235294117647 |
| Better Stack | 6 | 150 | 4 | 16 |
| Logz.io | 5 | 150 | 3.3333333333333335 | 11.666666666666666 |
| Sentry | 2 | 150 | 1.3333333333333335 | 3 |
| Chronosphere | 2 | 150 | 1.3333333333333335 | 22.333333333333332 |
| Axiom | 1 | 150 | 0.6666666666666667 | 74.66666666666667 |
| Mezmo | 1 | 150 | 0.6666666666666667 | 75 |



## Platform breakdown

| Platform | Prompt count | Presence rate |
| --- | --- | --- |
| chatgpt-search | 6 | 24 |
| perplexity | 3 | 12 |
| bing-copilot-search | 0 | 0 |
| google-ai-mode | 0 | 0 |
| google-ai | 0 | 0 |
| xai-search | 6 | 24 |



## Strengths





## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| Which observability platforms make it easiest to correlate a user-reported error with the right trace and log lines in a distributed system? | 5 |
| Which enterprise observability platforms handle multi-tenant environments with isolated views per team or service best? | 4 |
| What observability platforms offer the best tail-based sampling for high-throughput systems to control costs without losing important traces? | 4 |
| What are the best cloud-hosted observability platforms for migrating from a legacy self-hosted logging stack without losing historical data? | 4 |
| Which observability platforms support real user monitoring alongside backend APM for correlating frontend and backend performance? | 4 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 4 |
| Developer Experience | 5 | 2 |
| Integrations & Ecosystem | 5 | 2 |
| Performance & Reliability | 5 | 2 |
| Setup & First Run | 5 | 1 |



## Prompt results

- Prompt text: What's the quickest distributed tracing platform to set up across a microservices architecture on a container orchestration platform?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: 9



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Grafana | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Honeycomb | 1 |
| Grafana | 4 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai

| Display name | Position |
| --- | --- |
| Grafana | 2 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Logz.io | 6 |
| Splunk | 9 |
| Dynatrace | 10 |
| New Relic | 18 |
| Honeycomb | 20 |


- Prompt text: Which observability platforms integrate with deployment pipelines to correlate performance regressions with specific code changes?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| New Relic | 4 |
| Dynatrace | 7 |



##### Perplexity

| Display name | Position |
| --- | --- |
| New Relic | 1 |
| Datadog | 3 |
| Dynatrace | 5 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| Dynatrace | 3 |



##### Google-ai





##### Xai-search




- Prompt text: Which monitoring platforms have the best anomaly detection — automatically surfacing regressions without manual threshold tuning?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Honeycomb | 1 |
| Dynatrace | 2 |
| New Relic | 5 |
| Elastic | 8 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Dynatrace | 1 |
| Datadog | 5 |
| New Relic | 6 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search




- Prompt text: I'm evaluating observability platforms — which ones are best suited for a logs-first approach versus a traces-first approach?


#### Brand position by platform

Chatgpt-search: 3
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Elastic | 1 |
| Splunk | 3 |
| Grafana | 6 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Honeycomb | 1 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search




- Prompt text: What observability platforms can a small engineering team realistically get to meaningful dashboards and alerting on quickly?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Grafana | 1 |
| Better Stack | 2 |
| New Relic | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Grafana | 1 |
| Datadog | 3 |
| Better Stack | 5 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search




- Prompt text: What observability platforms support unified metrics, traces, and logs instrumentation for Node.js and Python polyglot applications?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search





##### Perplexity

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| New Relic | 4 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Elastic | 5 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Elastic | 9 |



##### Xai-search




- Prompt text: Which enterprise observability platforms handle multi-tenant environments with isolated views per team or service best?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: 46



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Grafana | 1 |
| Datadog | 4 |
| Dynatrace | 5 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Dynatrace | 1 |
| Grafana | 3 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Grafana | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Grafana | 1 |



##### Xai-search

| Display name | Position |
| --- | --- |
| Logz.io | 5 |
| Datadog | 17 |
| Dynatrace | 26 |
| New Relic | 36 |
| Splunk | 46 |
| Grafana | 56 |
| Elastic | 66 |


- Prompt text: Which observability platforms make it easiest to correlate a user-reported error with the right trace and log lines in a distributed system?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: 33



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| Grafana | 2 |
| New Relic | 10 |



##### Perplexity

| Display name | Position |
| --- | --- |
| New Relic | 1 |
| Datadog | 3 |
| Honeycomb | 5 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| New Relic | 2 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Sentry | 2 |
| Honeycomb | 3 |
| Datadog | 5 |



##### Google-ai





##### Xai-search

| Display name | Position |
| --- | --- |
| New Relic | 1 |
| Dynatrace | 9 |
| Honeycomb | 18 |
| Splunk | 33 |
| Datadog | 55 |


- Prompt text: Which APM tools have the best day-one onboarding to get immediate value without drowning in noise?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| New Relic | 1 |
| Datadog | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| New Relic | 1 |
| Sentry | 3 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| New Relic | 1 |



##### Google-ai-mode





##### Google-ai





##### Xai-search




- Prompt text: Which observability backends support receiving OpenTelemetry data simultaneously to avoid vendor lock-in?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: 17



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Grafana | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Grafana | 1 |
| New Relic | 3 |
| Datadog | 4 |
| Honeycomb | 8 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search

| Display name | Position |
| --- | --- |
| Datadog | 7 |
| Logz.io | 12 |
| Grafana | 14 |
| Honeycomb | 16 |
| Splunk | 17 |
| Elastic | 19 |


- Prompt text: What observability platforms offer the best tail-based sampling for high-throughput systems to control costs without losing important traces?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Honeycomb | 1 |
| Grafana | 3 |
| New Relic | 5 |
| Coralogix | 9 |
| Datadog | 11 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Honeycomb | 1 |
| Grafana | 3 |
| Datadog | 8 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Datadog | 3 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Datadog | 2 |
| Grafana | 3 |



##### Xai-search




- Prompt text: What are the best cloud-hosted observability platforms for migrating from a legacy self-hosted logging stack without losing historical data?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| Elastic | 4 |
| New Relic | 6 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Elastic | 1 |
| Datadog | 3 |
| New Relic | 6 |
| Grafana | 8 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Datadog | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Datadog | 1 |



##### Xai-search




- Prompt text: Which observability platforms handle data retention and query performance best as log volume grows into terabytes per day?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Coralogix | 1 |
| Datadog | 11 |
| Elastic | 17 |
| Grafana | 19 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Grafana | 1 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Chronosphere | 4 |
| Coralogix | 6 |



##### Google-ai





##### Xai-search




- Prompt text: Which observability platforms support business-level metrics like conversion funnels alongside infrastructure and application telemetry?


#### Brand position by platform

Chatgpt-search: 12
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| New Relic | 4 |
| Dynatrace | 8 |
| Splunk | 12 |
| Elastic | 16 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| Dynatrace | 3 |
| New Relic | 6 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Coralogix | 9 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Dynatrace | 1 |
| New Relic | 2 |



##### Google-ai





##### Xai-search




- Prompt text: Which distributed tracing platforms add the least overhead to latency-sensitive APIs — safe to run in production at full sampling?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Grafana | 2 |
| Datadog | 6 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Honeycomb | 4 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| New Relic | 4 |



##### Google-ai





##### Xai-search




- Prompt text: Which observability platforms integrate best with incident management and on-call scheduling tools for a seamless response workflow?


#### Brand position by platform

Chatgpt-search: 10
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Datadog | 3 |
| Grafana | 6 |
| Splunk | 10 |
| New Relic | 11 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| New Relic | 5 |
| Grafana | 6 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search




- Prompt text: Which observability platforms support real user monitoring alongside backend APM for correlating frontend and backend performance?


#### Brand position by platform

Chatgpt-search: 7
Perplexity: 6
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| Dynatrace | 3 |
| New Relic | 5 |
| Splunk | 7 |
| Elastic | 9 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| New Relic | 2 |
| Dynatrace | 3 |
| Elastic | 5 |
| Splunk | 6 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Datadog | 1 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Dynatrace | 1 |
| Grafana | 2 |
| Datadog | 3 |
| New Relic | 6 |
| Elastic | 9 |



##### Google-ai





##### Xai-search




- Prompt text: Which APM tools integrate best with cloud provider managed databases and serverless functions for end-to-end visibility?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| New Relic | 3 |
| Dynatrace | 8 |



##### Perplexity

| Display name | Position |
| --- | --- |
| New Relic | 1 |
| Dynatrace | 5 |



##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| New Relic | 3 |
| Coralogix | 4 |



##### Google-ai-mode

| Display name | Position |
| --- | --- |
| New Relic | 1 |
| Datadog | 3 |



##### Google-ai





##### Xai-search




- Prompt text: Which monitoring platforms offer the best on-call experience — from alert firing through to root cause identification?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Better Stack | 2 |
| New Relic | 3 |
| Datadog | 4 |
| Grafana | 8 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| Grafana | 5 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search

| Display name | Position |
| --- | --- |
| Better Stack | 16 |
| New Relic | 17 |
| Datadog | 51 |
| Dynatrace | 70 |


- Prompt text: Which cloud observability platforms have the most reliable synthetic monitoring checks with the lowest false positive rates?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: 3
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Dynatrace | 1 |
| Datadog | 3 |
| New Relic | 7 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| New Relic | 2 |
| Splunk | 3 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| New Relic | 1 |



##### Google-ai





##### Xai-search




- Prompt text: Which SaaS monitoring platforms have the lowest ingestion lag during high-volume log bursts so alerting stays fast?


#### Brand position by platform

Chatgpt-search: 1
Perplexity: 1
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: 16



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Splunk | 1 |
| Grafana | 3 |
| New Relic | 5 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Splunk | 1 |
| New Relic | 3 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search

| Display name | Position |
| --- | --- |
| Logz.io | 9 |
| Elastic | 10 |
| Splunk | 16 |
| New Relic | 35 |
| Better Stack | 51 |
| Dynatrace | 59 |
| Datadog | 61 |
| Axiom | 71 |
| Mezmo | 75 |


- Prompt text: Which observability platforms make it easiest for developers new to OpenTelemetry to adopt a trace-first workflow?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Honeycomb | 6 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Honeycomb | 1 |
| New Relic | 4 |
| Datadog | 6 |
| Grafana | 7 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search

| Display name | Position |
| --- | --- |
| New Relic | 7 |
| Coralogix | 13 |
| Honeycomb | 23 |
| Grafana | 65 |


- Prompt text: Which observability platforms have the best alert management features to help teams reduce alert fatigue through smart routing and thresholds?


#### Brand position by platform

Chatgpt-search: 7
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: 7



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Datadog | 1 |
| Grafana | 2 |
| Dynatrace | 3 |
| New Relic | 5 |
| Splunk | 7 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Grafana | 1 |
| New Relic | 2 |



##### Bing-copilot-search





##### Google-ai-mode





##### Google-ai





##### Xai-search

| Display name | Position |
| --- | --- |
| Splunk | 7 |
| New Relic | 9 |
| Grafana | 23 |
| Datadog | 35 |
| Dynatrace | 72 |


- Prompt text: What log shipping tools work best for getting structured logs from containerized applications to an observability platform without code changes?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Grafana | 7 |
| Elastic | 8 |



##### Perplexity





##### Bing-copilot-search

| Display name | Position |
| --- | --- |
| Coralogix | 6 |



##### Google-ai-mode





##### Google-ai





##### Xai-search

| Display name | Position |
| --- | --- |
| Logz.io | 10 |
| Datadog | 16 |
| Chronosphere | 27 |
| Elastic | 32 |
| Grafana | 39 |


- Prompt text: Which observability platforms have the best ad-hoc query experience for high-cardinality log data during an active incident?


#### Brand position by platform

Chatgpt-search: Not available
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: Not available
Google-ai: Not available
Xai-search: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Better Stack | 1 |
| Datadog | 2 |
| Elastic | 3 |
| Grafana | 12 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Honeycomb | 1 |
| Grafana | 6 |



##### Bing-copilot-search





##### Google-ai-mode

| Display name | Position |
| --- | --- |
| Honeycomb | 3 |



##### Google-ai





##### Xai-search







## Top sources

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://www.splunk.com/en_us/campaigns/industry-leading-observability.html | We deliver exceptional observability at scale. Others don't. | splunk.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/4f638bff-15d9-4202-be76-d55ee1111439/49450b32527a4feb7f03135dd7bbc261498df85f.png | commercial | video | 3 | 3 |
| https://help.splunk.com/en/splunk-observability-cloud/digital-experience-monitoring/real-user-monitoring/introduction-to-splunk-rum | Introduction to Splunk RUM \| Observability Cloud (last updated 2026-03-13T19:45:47.497Z) | help.splunk.com | Not available | commercial | documentation | 3 | 3 |
| https://www.splunk.com/en_us/blog/observability/synthetics-smart-alerting.html | Smart Alerting for Reliable Synthetics: Tune for Signal, Not Noise \| Splunk | splunk.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/4f638bff-15d9-4202-be76-d55ee1111439/49450b32527a4feb7f03135dd7bbc261498df85f.png | commercial | video | 3 | 3 |
| https://www.splunk.com/en_us/products/log-observer-connect.html | Splunk Log Observer Connect | splunk.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/4f638bff-15d9-4202-be76-d55ee1111439/49450b32527a4feb7f03135dd7bbc261498df85f.png | commercial | product_page | 2 | 2 |
| https://www.splunk.com/en_us/blog/observability/unified-observability-from-splunk.html | Unified Observability From Splunk: One Platform, From Code to Business Impact | splunk.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/4f638bff-15d9-4202-be76-d55ee1111439/49450b32527a4feb7f03135dd7bbc261498df85f.png | commercial | blog_post | 2 | 2 |
| https://www.splunk.com/en_us/solutions/splunk-vs-new-relic.html | Splunk Vs New Relic | splunk.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/4f638bff-15d9-4202-be76-d55ee1111439/49450b32527a4feb7f03135dd7bbc261498df85f.png | commercial | video | 2 | 2 |
| https://help.splunk.com/en/splunk-observability-cloud/create-alerts-detectors-and-service-level-objectives/create-alerts-and-detectors/best-practices-for-creating-detectors | Best practices for creating detectors \| Observability Cloud (last updated 2025-05-30T23:12:58.860Z) | help.splunk.com | Not available | commercial | documentation | 2 | 2 |
| https://help.splunk.com/en/splunk-observability-cloud/digital-experience-monitoring/digital-experience-analytics/analyses-in-digital-experience-analytics/create-conversion-funnel-analysis | Create conversion funnel analysis \| Observability Cloud (last updated 2026-03-06T19:08:09.814Z) | help.splunk.com | Not available | commercial | documentation | 2 | 2 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| I'm evaluating observability platforms — which ones are best suited for a logs-first approach versus a traces-first approach? | google-ai-mode | Three Pillars of Observability: Logs, Events, Metrics, and Traces \| Cribl * * Splunk : The classic enterprise log heavyweight. |
| What observability platforms offer the best tail-based sampling for high-throughput systems to control costs without losing important traces? | google-ai-mode | Honeycomb, New Relic (Infinite Tracing), and Datadog/Splunk (via OpenTelemetry Collector tail-based sampling) offer the most robust approaches to tail-based sampling for high-throughput environments. |
| What are the best cloud-hosted observability platforms for migrating from a legacy self-hosted logging stack without losing historical data? | google-ai-mode | Migrating from a legacy, self-hosted logging stack (such as an ELK/Elasticsearch cluster or self-hosted Graylog/Splunk) to a cloud-hosted observability platform presents a classic dilemma: hot ingestion pricing makes back-loading years of historical data... |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| chatgpt-search | Datadog | If your goal is to take a user report like “Checkout failed at 14:03, and I got a 500 error” and quickly find the exact distributed trace, the relevant log lines, and the failing service, I’d shortlist Datadog, Sentry, Honeycomb, New Relic, and Grafana Cloud. |
| chatgpt-search | Grafana | If your goal is to take a user report like “Checkout failed at 14:03, and I got a 500 error” and quickly find the exact distributed trace, the relevant log lines, and the failing service, I’d shortlist Datadog, Sentry, Honeycomb, New Relic, and Grafana Cloud. |
| perplexity | New Relic | The strongest fits are New Relic and Datadog; Honeycomb is a good option when your team is comfortable investigating structured telemetry. |
| perplexity | Datadog | The strongest fits are New Relic and Datadog; Honeycomb is a good option when your team is comfortable investigating structured telemetry. |
| bing-copilot-search | New Relic | The strongest options today are OpenObserve, New Relic, Datadog, Honeycomb, and OpenTelemetry-based stacks. ## 🔑 Key Considerations When choosing an observability platform for correlating user-reported errors: * Unified telemetry: Does the p... |
| google-ai-mode | Sentry | ...SREs](https://openobserve.ai/blog/logs-traces-metrics-correlation/)Errors, traces, logs, metrics: when to reach for what - Sentry Blog The observability platforms that make thi... |
| google-ai-mode | Honeycomb | ...lation the easiest—largely by natively bridging user context with backend telemetry—stand out in distinct ways: * * _Honeycomb_ — Best for High-Cardinality Root Cause Analysis * Why it shines: Honeycomb treats high-cardinality data (lik... |
| chatgpt-search | Grafana | ## Best enterprise observability platforms to evaluate ## 1. Grafana Enterprise and Grafana Cloud Best for flexible team isolation Strong choice for organizations that want shared observability infrastructure with team-specific data access, dashboar... |
| perplexity | Dynatrace | For team- or service-level views with access controls, Dynatrace and Grafana Enterprise/Cloud are the strongest fits among the platforms covered by the available evidence—but they isolate access in different ways. |
| perplexity | Grafana | For team- or service-level views with access controls, Dynatrace and Grafana Enterprise/Cloud are the strongest fits among the platforms covered by the available evidence—but they isolate access in different ways. |
| google-ai-mode | Grafana | Manage tenant isolation[Building a Multi-Tenant Observability Platform with SigNoz + OneUptime - DEV Community](https://dev.to/starkprince/building-a-multi-tenant-observability-pla... |
| google-ai | Grafana | Grafana Enterprise & Grafana Cloud (Mimir/Loki/Tempo) Grafana is widely regarded as an industry standard for multi-team and multi-tenant visualization. |



## Trend

Visibility delta: 0.1999999999999984
Avg position delta: 4.553571428571429
Citation count delta: 13