AI visibility report
Elastic ranks #8 in Observability & Monitoring AI search.
Outside the top three on 22 of the 25 prompts buyers actually ask.
New Relic is cited on 13 of those losses.
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Also benchmarked
Elastic appears in another vertical
Track Elastic across these prompts daily.
Start free trial#8 among 14 vendors · still absent from 93.3% of tracked prompt responses
Top-3 citations across 150 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
Grok
Google AI Mode
ChatGPT
Gemini Search
Perplexity
Bing CopilotNarrower footprint, stronger tone. Elastic ranks #8 on presence but #6 on sentiment. That means the brand is framed well when it appears, but still needs broader prompt-response coverage.
Where Elastic is losing
Prompts where competitors are visible and Elastic is not.
These prompt-level losses are the first prompts to track and repair.
Where Elastic is winning1
Which monitoring platforms offer the best on-call experience — from alert firing through to root cause identification?
Avg # 3.0 · 1 platform
Where Elastic is losing5
Which observability platforms integrate with deployment pipelines to correlate performance regressions with specific code changes?
Competitors on 5 platforms
Track this promptWhich observability platforms support real user monitoring alongside backend APM for correlating frontend and backend performance?
Competitors on 5 platforms
Track this promptWhich observability platforms have the best ad-hoc query experience for high-cardinality log data during an active incident?
Competitors on 4 platforms
Track this promptWhich APM tools integrate best with cloud provider managed databases and serverless functions for end-to-end visibility?
Competitors on 4 platforms
Track this promptWhich observability platforms support business-level metrics like conversion funnels alongside infrastructure and application telemetry?
Competitors on 4 platforms
Track this prompt
Track Elastic daily before the next report refresh.
Track these gapsResearch dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
Overview
Elastic N.V. (NYSE: ESTC) is the Search AI Company, offering a unified platform for enterprise search, observability, and cybersecurity built on the open-source Elastic Stack (Elasticsearch, Kibana, Logstash, Beats). Founded in 2012 in Amsterdam by Shay Banon and co-founders, the company went public on the NYSE in October 2018 and reported $1.48 billion in total revenue for fiscal year 2025. Elastic Observability provides unified visibility across logs, metrics, APM traces, real user monitoring, and synthetic data, all powered by Elasticsearch's real-time, petabyte-scale search engine. The platform is OpenTelemetry-native, includes ML-based anomaly detection and an AI Assistant for root cause analysis, and supports cloud, hybrid, and on-premises deployments. Elastic is a Gartner Magic Quadrant Leader for Observability Platforms in 2024 and 2025, trusted by more than 50% of the Fortune 500.
Elastic Observability is a full-stack observability solution built on the Elasticsearch platform that unifies logs, metrics, APM traces, real user monitoring (RUM), and synthetic testing into a single interface powered by Kibana. It ingests and correlates petabytes of telemetry data in real time using OpenTelemetry-native collection via the Elastic Distribution of OpenTelemetry (EDOT) SDK, applies ML-based anomaly detection and AIOps, and provides an AI Assistant grounded in organizational knowledge bases to accelerate incident response and root cause analysis. Deployable as a fully managed serverless service, hosted cloud (AWS, Azure, GCP), or self-managed on-premises cluster via Kubernetes (ECK), it is designed to handle modern multi-cloud and hybrid environments at enterprise scale.
Key Facts
- Founded
- 2012
- HQ
- Amsterdam, Netherlands / San Francisco, CA, USA
- Founders
- Shay Banon, Simon Willnauer, Steven Schuurman +1 more
- Employees
- 3500-5000
- Funding
- ~$104M pre-IPO; $252M IPO (Oct 2018)
- Customers
- ~21,500 subscription customers
- Status
- Public (NYSE: ESTC)
Target users
Key Capabilities10
- Unified log analytics with real-time search across petabyte-scale log data via Elasticsearch
- Application performance monitoring (APM) with distributed tracing and service maps
- Infrastructure monitoring for cloud, hybrid, and on-premises environments
- Digital experience monitoring via Real User Monitoring (RUM) and synthetic testing
- AIOps with ML-based anomaly detection and AI Assistant for root cause analysis
- LLM observability for monitoring GenAI application performance, cost, and safety
- OpenTelemetry-native MELT data ingestion and correlation (EDOT SDK)
- Kibana for customizable visualization, dashboards, and exploration
- Elastic Search AI Platform with vector database and RAG support for GenAI applications
- Flexible deployment: Elastic Cloud Serverless, Cloud Hosted (AWS/Azure/GCP/Alibaba), or self-managed (on-prem/Kubernetes)
Key Use Cases8
- Centralized log management and analysis at enterprise scale
- Full-stack APM and distributed tracing for microservices and cloud-native applications
- Cloud and infrastructure monitoring across AWS, Azure, GCP, and Kubernetes
- AI-driven incident detection, triage, and root cause analysis (AIOps)
- Observability platform consolidation (replacing fragmented multi-vendor monitoring toolsets)
- LLM and GenAI application observability and cost monitoring
- Real user monitoring and synthetic testing for digital experience management
- Combined security and observability on a single platform (with Elastic Security/SIEM)
Elastic customer outcomes
30% MTTR reduction; 25% annual hardware cost reduction
PepsiCo standardized on Elastic Observability for its Full Stack Observability platform, consolidating MELT data from 38+ critical applications and rationalizing its monitoring tool count from 55 to fewer than 20, achieving 99.9% application uptime and a 23% automation rate in in
80% faster incident resolution time
Brazil's largest digital media company migrated from Splunk to Elastic Security and unified observability and security on a single Elastic platform, enabling AI-assisted root cause analysis with Amazon Bedrock integration and reducing false positives by 50%.
Recent Trend
How AI describes Elastic3
For ad‑hoc queries on high‑cardinality log data during incidents, Honeycomb, Elastic Stack, and Splunk are widely regarded as the strongest options, with Datadog and Grafana Cloud also competitive depending on team size and workflow.
Which observability platforms have the best ad-hoc query experience for high-cardinality log data during an active incident?
Splunk and Elastic Stack can also handle bursts well but often introduce more lag due to indexing overhead.struct.ai+3struct.ai.
Which SaaS monitoring platforms have the lowest ingestion lag during high-volume log bursts so alerting stays fast?
Leading options include Dynatrace, Elastic Observability, Struct, and SolarWinds Observability. 🔑 Key Considerations --------------------- When choosing an observability platform for error correlation: * Unified context propagation: Does the...
Which observability platforms make it easiest to correlate a user-reported error with the right trace and log lines in a distributed system?
Most cited sources8
6The 3 pillars of observability: Unified logs, metrics, and traces | Elastic Blog
elastic.co·Blog Post
- D3
How RUM and APM works - APM - Discuss the Elastic Stack
discuss.elastic.co·Discussion
- 3
Elastic Observability platform | Full-stack AI monitoring | Elastic
elastic.co·Blog Post
- 2
APM best practices: Dos and don’ts guide for practitioners
elastic.co·Blog Post
- 1
OpenTelemetry tail sampling: 65% less memory with disk storage — Elastic Observability Labs
elastic.co·Blog Post
- 1
Configure Real User Monitoring (RUM) | Elastic Docs
elastic.co·Documentation
Alternatives in Observability & Monitoring6
Elastic positions as an open-source-rooted Search AI platform that unifies observability, security, and enterprise search on a single stack, differentiating through Elasticsearch's unmatched search query performance, OpenTelemetry-native data ingestion, and breadth of MELT coverage.
- It competes with pure-play APM and log-management vendors by offering lower total cost of ownership claims, flexible deployment (serverless, hosted, self-managed), and an AI Assistant grounded in organizational knowledge bases.
- Named a Gartner Magic Quadrant Leader for Observability Platforms in both 2024 and 2025, and a Forrester Wave Leader for Security Analytics Q2 2025, Elastic targets enterprises seeking platform consolidation across observability and security.
Reviews
Praised
- Powerful and flexible full-text search via Elasticsearch
- Highly customizable Kibana dashboards
- Extensive pre-built integrations ecosystem
- Real-time log analysis and visualization
- Unified MELT data visibility in a single platform
- OpenTelemetry-native data collection
- Active open-source community and developer ecosystem
- Scalable architecture for petabyte-scale telemetry
Criticized
- Steep learning curve and complex initial setup
- Resource-intensive (high CPU and memory usage)
- Pricing can escalate significantly at enterprise scale
- Cluster and index lifecycle management complexity
- Log retention occasionally requires manual intervention
- Difficult to communicate value proposition to C-suite vs. competitors
- Serverless feature parity still maturing
Elastic Observability holds a 4.2/5 on G2 (90 reviews) and a 4.4/5 on Gartner Peer Insights (270 reviews in the Observability Platforms market). PeerSpot rates it 8.0/10, noting it is most popular among large enterprises (58% of researchers). Users consistently praise its powerful and flexible Elasticsearch-powered search, highly customizable Kibana dashboards, extensive pre-built integrations, and unified MELT visibility. Common criticisms include a steep learning curve, complex cluster administration, resource-intensive infrastructure demands, and pricing that can escalate at enterprise scale. Gartner reviewers also ranked Elastic among the five highest-scoring vendors across all six use cases in the 2025 Gartner Critical Capabilities for Observability Platforms report.
Pricing
Elastic Cloud Hosted starts at $99/month (resource-based, pay-as-you-go or prepaid annual) available across AWS, Azure, GCP, and Alibaba in 60+ regions. Elastic Cloud Serverless is usage-based (pay-as-you-go or prepaid annual) and auto-scales with no cluster management overhead. Self-managed deployments use license-based pricing on Platinum and Enterprise subscription tiers, based on node count and RAM. A 14-day free trial (no credit card required) covers all solutions on Elastic Cloud. Four support tiers are available for cloud deployments, with a 99.95% monthly uptime SLA for Platinum and Enterprise tiers.
Limitations
- Users commonly report a steep learning curve and complex initial configuration, particularly around cluster management, index lifecycle policies, and schema optimization at scale.
- Elasticsearch is resource-intensive (high CPU and memory), which can raise infrastructure costs in self-managed deployments.
- Pricing at scale is frequently cited as less competitive versus some newer cloud-native observability vendors.
- Log retention occasionally requires manual intervention due to agent instability.
- The platform's breadth can make it harder to articulate focused value to C-suite decision-makers compared to more narrowly positioned competitors.
- Serverless deployment options are still maturing in feature parity relative to hosted and self-managed capabilities.
Frequently asked questions
Topic coverageCoverage by buyer topic
Topic Coverage
Prompt-Level Results
| Prompt | Perplexity | ChatGPT | Google AI Mode | Bing Copilot | Gemini Search | Grok |
|---|---|---|---|---|---|---|
Capability3/5 cited (60%) | ||||||
Which monitoring platforms have the best anomaly detection — automatically surfacing regressions without manual threshold tuning? | Neither your brand nor a competitor was cited | A competitor was cited | Your brand and a competitor were cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
I'm evaluating observability platforms — which ones are best suited for a logs-first approach versus a traces-first approach? | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which enterprise observability platforms handle multi-tenant environments with isolated views per team or service best? | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited |
Which observability platforms support business-level metrics like conversion funnels alongside infrastructure and application telemetry? | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which observability platforms support real user monitoring alongside backend APM for correlating frontend and backend performance? | A competitor was cited | Your brand and a competitor were cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Developer Experience2/5 cited (40%) | ||||||
Which observability platforms have the best ad-hoc query experience for high-cardinality log data during an active incident? | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which observability platforms make it easiest to correlate a user-reported error with the right trace and log lines in a distributed system? | Neither your brand nor a competitor was cited | A competitor was cited | Your brand was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited |
Which monitoring platforms offer the best on-call experience — from alert firing through to root cause identification? | Neither your brand nor a competitor was cited | A competitor was cited | Your brand was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited |
Which observability platforms have the best alert management features to help teams reduce alert fatigue through smart routing and thresholds? | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited |
Which observability platforms make it easiest for developers new to OpenTelemetry to adopt a trace-first workflow? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited |
Integrations & Ecosystem2/5 cited (40%) | ||||||
Which observability platforms integrate with deployment pipelines to correlate performance regressions with specific code changes? | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which APM tools integrate best with cloud provider managed databases and serverless functions for end-to-end visibility? | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which observability backends support receiving OpenTelemetry data simultaneously to avoid vendor lock-in? | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Your brand and a competitor were cited |
What log shipping tools work best for getting structured logs from containerized applications to an observability platform without code changes? | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited |
Which observability platforms integrate best with incident management and on-call scheduling tools for a seamless response workflow? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Performance & Reliability3/5 cited (60%) | ||||||
Which cloud observability platforms have the most reliable synthetic monitoring checks with the lowest false positive rates? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which SaaS monitoring platforms have the lowest ingestion lag during high-volume log bursts so alerting stays fast? | A competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited |
What observability platforms offer the best tail-based sampling for high-throughput systems to control costs without losing important traces? | Neither your brand nor a competitor was cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited | Neither your brand nor a competitor was cited |
Which observability platforms handle data retention and query performance best as log volume grows into terabytes per day? | A competitor was cited | Your brand and a competitor were cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which distributed tracing platforms add the least overhead to latency-sensitive APIs — safe to run in production at full sampling? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Setup & First Run0/5 cited (0%) | ||||||
What's the quickest distributed tracing platform to set up across a microservices architecture on a container orchestration platform? | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited |
What observability platforms can a small engineering team realistically get to meaningful dashboards and alerting on quickly? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
What observability platforms support unified metrics, traces, and logs instrumentation for Node.js and Python polyglot applications? | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Which APM tools have the best day-one onboarding to get immediate value without drowning in noise? | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
What are the best cloud-hosted observability platforms for migrating from a legacy self-hosted logging stack without losing historical data? | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Turn this matrix into daily prompt monitoring.
Track prompt changesVertical Ranking
| # | Brand | PresencePres. | Share of VoiceSoV | DocsDocs | BlogBlog | MentionsMent. | Avg PosPos | Sentiment |
|---|---|---|---|---|---|---|---|---|
| 1 | New Relic | 23.3% | 19.9% | 0.7% | 22.0% | 56.7% | #13.0 | +0.34 |
| 2 | Datadog | 18.0% | 14.7% | 6.7% | 9.3% | 74.0% | #17.9 | +0.38 |
| 3 | Grafana | 11.3% | 11.4% | 7.3% | 2.0% | 10.7% | #23.7 | +0.45 |
| 4 | Splunk | 9.3% | 9.6% | 0.7% | 6.0% | 32.7% | #23.0 | +0.36 |
| 5 | Dynatrace | 8.7% | 14.0% | 6.7% | 4.7% | 54.0% | #37.8 | +0.29 |
| 6 | Coralogix | 7.3% | 5.1% | 0.0% | 0.0% | 8.7% | #3.5 | +0.16 |
| 7 | Honeycomb | 7.3% | 10.3% | 2.7% | 2.0% | 32.0% | #24.4 | +0.44 |
| 8 | Elastic | 6.7% | 5.1% | 1.3% | 1.3% | 28.7% | #22.6 | +0.38 |
| 9 | Logz.io | 4.7% | 2.9% | 0.0% | 4.0% | 2.7% | #9.0 | +0.45 |
| 10 | Better Stack | 4.7% | 4.0% | 0.7% | 0.7% | 4.7% | #18.2 | +0.38 |
| 11 | Chronosphere | 2.0% | 1.5% | 0.0% | 0.0% | 2.7% | #16.8 | +0.33 |
| 12 | Axiom | 0.7% | 1.1% | 0.0% | 0.7% | 1.3% | #74.7 | +0.80 |
| 13 | Mezmo | 0.7% | 0.4% | 0.7% | 0.0% | 0.7% | #75.0 | +0.80 |
| 14 | Sentry | 0.0% | 0.0% | 0.0% | 0.0% | 7.3% | — | — |
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