# Coralogix AI visibility in Observability & Monitoring

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

[Website](https://coralogix.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: 8
Total brands: 14
Measured responses: 150
Presence percent: 4.666666666666667
Share of voice percent: 3.136531365313653
Average position: 6.588235294117647
Docs presence percent: 1.3333333333333335
Blog presence percent: 0
Brand mention percent: 5.333333333333334


## Profile

Overview: Coralogix is a full-stack observability platform founded in 2014 and headquartered in San Francisco, CA, with major R&D operations in Tel Aviv, Israel. Built around its proprietary Streama© in-stream processing engine and DataPrime query language, the platform unifies logs, metrics, traces, security, and AI observability without relying on indexing or hot storage. Data is stored in customer-owned cloud buckets, enabling infinite retention and eliminating vendor lock-in. Coralogix serves over 4,000 teams globally with 300+ integrations and native OpenTelemetry support. Its suite spans APM, real user monitoring, infrastructure monitoring, cloud SIEM, and AI observability—the last expanded via its December 2024 acquisition of Aporia. Named a Visionary in Gartner's 2025 Magic Quadrant for Observability Platforms, Coralogix has raised $350M in total funding and reached unicorn valuation in June 2025.
Product summary: Coralogix is a full-stack, cross-stack observability platform that ingests logs, metrics, traces, and security events in real time via its in-stream Streama© engine, storing all data in customer-owned cloud storage for infinite retention. Its DataPrime query engine provides unified querying across all telemetry types without requiring indexing or hot storage. The platform covers APM, real user monitoring, infrastructure monitoring, SIEM, and AI observability including guardrails and AI security posture management, supported by 300+ integrations and native OpenTelemetry. Its autonomous AI agent, Olly, enables natural-language root cause analysis across all telemetry.


### Key capabilities

- In-stream processing via Streama© engine (real-time analytics without indexing or hot storage)
- DataPrime proprietary query engine unifying logs, metrics, and traces in a single composable syntax
- Customer-owned cloud storage (S3) with infinite retention and remote index-free querying
- Application Performance Monitoring (APM) with service catalog, service map, DB monitoring, continuous profiling, and SLO management
- Real User Monitoring (RUM) with session replay, error tracking, and core web vitals
- Infrastructure monitoring with fleet management and Kubernetes support
- Cloud SIEM and managed detection and response (MDR via Snowbit)
- AI observability center with evaluation engine, AI guardrails, AI-SPM, and compliance reporting (via Aporia acquisition)
- TCO Cost Optimizer with tiered data pipeline routing (frequent search vs. archive)
- Autonomous observability agent (Olly) for natural-language root cause analysis across all telemetry



### Target users

- DevOps engineers and site reliability engineers (SREs)
- Platform and cloud infrastructure engineers
- Security operations center (SOC) and IT security teams
- Software developers working in cloud-native and distributed environments
- Engineering leaders (CTOs, VPs of Engineering) requiring cross-org observability
- AI/ML operations and product teams monitoring AI applications and agents



### Key use cases

- Full-stack observability across logs, metrics, traces, and profiles
- Cloud infrastructure and Kubernetes monitoring
- Application performance monitoring and root cause analysis acceleration
- Security information and event management (SIEM) and cloud threat detection
- AI application observability, quality evaluation, and prompt guardrails
- Compliance reporting (GDPR, SOC 2, PCI, HIPAA, ISO 27001/27701)
- Observability cost optimization for large-scale data pipelines
- CI/CD pipeline acceleration and DevOps operational visibility

Integrations ecosystem: Coralogix offers 300+ integrations spanning major cloud providers (AWS, Azure, GCP), infrastructure orchestration (Kubernetes, Terraform, Heroku), and open telemetry standards (OpenTelemetry, Kafka, NATS). Available on AWS and Azure Marketplaces. Native OpenTelemetry support enables vendor-agnostic telemetry collection. Coralogix also operates Snowbit, an MSSP/MDR white-label security service built on the same platform architecture. An MCP (Model Context Protocol) server enables third-party AI agents to connect directly to Coralogix observability data streams.
Pricing summary: Volume-based pricing with no per-user or per-host fees. Published rates: Logs $0.42/GB; Traces $0.16/GB; Metrics $0.05/GB; AI tokens $1.50 per 1M tokens. Coralogix uses a 'units' currency (1 unit = $1.50 in data value) that flexibly spans data types and pipeline tiers—no advance planning required. All enterprise features (RBAC, SSO with SAML, audit trails, compliance controls) and 24/7 human support are included in every plan at no extra cost. Unlimited users, hosts, and data sources are included. A 14-day free trial is available with 8 units quota and no credit card required. Pay-as-you-go overages supported up to 2x daily quota.
Review summary: Coralogix receives strong user satisfaction ratings, scoring 4.6/5 on G2 (413 reviews) and 4.5/5 on Gartner Peer Insights (114 reviews in Observability Platforms). Reviewers consistently praise its 24/7 human support responsiveness, real-time monitoring, unified telemetry correlation, and cost efficiency versus Datadog. The DataPrime query language draws positive feedback from power users but is also the most common source of friction for newcomers. UI navigation complexity and non-trivial integration setup are recurring criticisms. Coralogix earned 192 G2 badges in Winter 2026 and 188 in Summer 2025, including 'Users Love Us' and #1 rankings in 33 individual G2 reports.
Competitive positioning: Coralogix positions itself as a cost-efficient, full-fidelity observability alternative to Datadog and Splunk, differentiating via its in-stream Streama© processing engine that analyzes data before indexing, a customer-owned storage model eliminating vendor lock-in, and a unified DataPrime query language spanning logs, metrics, and traces. It targets organizations seeking to reduce observability TCO without sacrificing coverage, and is pushing into AI observability as a distinct competitive wedge following its December 2024 acquisition of Aporia. Named a Visionary in Gartner's 2025 Magic Quadrant for Observability Platforms.
Limitations: Users report a steep learning curve, particularly around the DataPrime query language and advanced platform configuration. UI navigation has been criticized as complex, especially for newcomers switching between search modes. Some integrations require non-trivial setup via OpenTelemetry rather than offering out-of-box connectors. Enterprise-scale onboarding can take significant time. Some users report duplicate log occurrences and occasional SSO login inconsistencies. The platform maintains two dashboard experiences (native Coralogix and built-in Grafana), which can add operational overhead. Occasional accountability gaps have been reported in buggy integration incidents.


### Source urls

- https://coralogix.com/
- https://coralogix.com/pricing/
- https://coralogix.com/blog/coralogix-magic-quadrant-2025/
- https://www.calcalistech.com/ctechnews/article/h1tsdarqge
- https://fintech.global/2025/06/18/coralogix-raises-115m-to-scale-ai-observability-tools/
- https://www.g2.com/sellers/coralogix
- https://www.g2.com/products/coralogix/reviews?qs=pros-and-cons
- https://www.gartner.com/reviews/market/observability-platforms/vendor/coralogix/product/coralogix
- https://tracxn.com/d/companies/coralogix/__KnTDVjhwYR6EFUQOxBpPbf0XH64XpmysyRAGfcFncmk
- https://coralogix.com/case-studies/monday-com/
- https://coralogix.com/case-studies/curve/
- https://www.msspalert.com/news/coralogix-secures-115m-to-scale-ai-driven-observability-and-launch-agentic-assistant-olly
- https://coralogix.com/blog/coralogix-in-g2-winter-2026-momentum-progress-and-192-badges/

Reviewed at: 2026-04-28T23:21:25.271+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| monday.com | Consolidated fragmented log data into a centralized Coralogix platform, enabling the engineering team to search the full log stack instantly and freeing them from managing log infrastructure scaling as the company grew. | Not available |
| Curve | Migrated from Datadog to Coralogix to resolve budget constraints caused by high indexing costs; Coralogix's in-stream analysis enabled cost-optimized observability at scale, restoring access to older data that engineers had previously been unable to retain. | Not available |
| Soft2Bet | Eliminated multiple open-source observability tools by consolidating into Coralogix, reducing infrastructure, storage, and indirect operational costs while accelerating product delivery across globally distributed teams and linking all OKRs to Coralogix dashboards. | Not available |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| G2 | 4.6 | 5 | 413 | https://www.g2.com/sellers/coralogix |
| Gartner Peer Insights | 4.5 | 5 | 114 | https://www.gartner.com/reviews/market/observability-platforms/vendor/coralogix/product/coralogix |



### Review themes



#### Praised

- 24/7 responsive human support with fast response times
- Unified logs, metrics, and traces correlation for faster root cause analysis
- Real-time monitoring and intelligent alerting
- Cost efficiency compared to Datadog and legacy alternatives
- Customer-owned S3 storage with flexible and infinite retention
- DataPrime query language power and composability
- Native OpenTelemetry and Kubernetes integration
- Intuitive dashboards and user-friendly interface



#### Criticized

- Steep learning curve for DataPrime query language
- Complex UI navigation, especially for newcomers switching between search modes
- Some integrations require non-trivial OTel-based setup rather than out-of-box connectors
- Enterprise-scale onboarding can take significant time
- Duplicate log occurrences reported by some users
- Separate native Coralogix and embedded Grafana dashboard experiences add overhead
- Advanced features (anomaly detection, dynamic pipelines) require significant initial configuration




### Company facts

Founded year: 2014
Hq: San Francisco, CA, USA


#### Founders

- Ariel Assaraf
- Yoni Farin

Employees range: 500-600
Total funding: $350M
Valuation: $1.12B
Arr: Not available
Customer count: 4,000+ teams
Status: Private


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 | 2 | 8 |
| perplexity | 0 | 0 |
| bing-copilot-search | 3 | 12 |
| google-ai-mode | 1 | 4 |
| google-ai | 0 | 0 |
| xai-search | 1 | 4 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| Which observability platforms handle data retention and query performance best as log volume grows into terabytes per day? | 2 | 3.5 |
| What log shipping tools work best for getting structured logs from containerized applications to an observability platform without code changes? | 1 | 6 |



## 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 | 1 |
| Developer Experience | 5 | 1 |
| Integrations & Ecosystem | 5 | 2 |
| Performance & Reliability | 5 | 2 |
| Setup & First Run | 5 | 0 |



## 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: Not available



#### 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: 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 |
| --- | --- |
| 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: Not available



#### 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: Not available



#### 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: Not available



#### 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: 9
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: 1
Perplexity: Not available
Bing-copilot-search: Not available
Google-ai-mode: 6
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: Not available
Perplexity: Not available
Bing-copilot-search: 9
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: 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 | 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: 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 |
| 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: 4
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: 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 |
| --- | --- |
| 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: 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 |
| --- | --- |
| 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: 13



#### 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: 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 |
| 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: 6
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://coralogix.com/guides/application-performance-monitoring-tools/ | Top Application Performance Monitoring Tools (2026) | coralogix.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/4f638bff-15d9-4202-be76-d55ee1111439/5a1e0bcf0c52748c87d83523a5f081e53618b8fe.png | commercial | listicle | 6 | 6 |
| https://coralogix.com/guides/observability/observability-platforms/ | Top 8 Observability Platforms for 2026: A Comparison | coralogix.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/4f638bff-15d9-4202-be76-d55ee1111439/5a1e0bcf0c52748c87d83523a5f081e53618b8fe.png | commercial | documentation | 5 | 5 |
| https://coralogix.com/guides/top-log-management-tools-compared/ | Log Management Tools Compared (2026) | coralogix.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/4f638bff-15d9-4202-be76-d55ee1111439/5a1e0bcf0c52748c87d83523a5f081e53618b8fe.png | commercial | documentation | 4 | 4 |
| https://coralogix.com/pricing/ | Pricing - Coralogix | coralogix.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/4f638bff-15d9-4202-be76-d55ee1111439/5a1e0bcf0c52748c87d83523a5f081e53618b8fe.png | commercial | product_page | 1 | 1 |
| https://coralogix.com/docs//opentelemetry/tail-sampling/tail-sampling-with-coralogix-and-opentelemetry/ | Tail sampling with Coralogix & OpenTelemetry | coralogix.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/4f638bff-15d9-4202-be76-d55ee1111439/5a1e0bcf0c52748c87d83523a5f081e53618b8fe.png | commercial | documentation | 1 | 1 |
| https://www.coralogix.com/docs/opentelemetry/kubernetes-observability/tail-sampling-with-opentelemetry-using-kubernetes/ | Tail sampling with OpenTelemetry using Kubernetes | coralogix.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/4f638bff-15d9-4202-be76-d55ee1111439/5a1e0bcf0c52748c87d83523a5f081e53618b8fe.png | commercial | documentation | 1 | 1 |
| https://coralogix.com/docs//dataprime/API/direct-archive-query-http/ | HTTP API queries \| Coralogix Docs | coralogix.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/4f638bff-15d9-4202-be76-d55ee1111439/5a1e0bcf0c52748c87d83523a5f081e53618b8fe.png | commercial | documentation | 1 | 1 |
| https://coralogix.com/docs//user-guides/data-flow/s3-archive/archive-retention-policy/ | Archive retention policy \| Coralogix Docs | coralogix.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/4f638bff-15d9-4202-be76-d55ee1111439/5a1e0bcf0c52748c87d83523a5f081e53618b8fe.png | commercial | documentation | 1 | 1 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| What are the best cloud-hosted observability platforms for migrating from a legacy self-hosted logging stack without losing historical data? | google-ai-mode | Coralogix * How it handles history: Coralogix features a Streama© / TCO Optimizer architecture designed specifically to avoid paying hot storage costs for compliance data. |
| Which observability platforms handle data retention and query performance best as log volume grows into terabytes per day? | google-ai-mode | ...hronosphere-logs-raises-bar-in-observability-delivering-unparalleled-control-to-reduce-noise-and-associated-costs/) * Coralogix Known for its TCO-first architecture , Coralogix uses a "Stateful Stream-to-Tier-to-Query" approach rather than f... |
| I'm evaluating observability platforms — which ones are best suited for a logs-first approach versus a traces-first approach? | google-ai | Coralogix: A strong cloud-agnostic contender that shifts the paradigm toward streaming analytics (parsing and routing logs on the fly) to lower storage costs while maintaining rapid search capabilities. |



## 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: 1.7999999999999998
Avg position delta: 4.854166666666667
Citation count delta: 13