AI visibility report
Grafana ranks #3 in Observability & Monitoring AI search.
Outside the top three on 17 of the 25 prompts buyers actually ask.
Datadog is cited on 13 of those losses.
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Also benchmarked
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Track Grafana across these prompts daily.
Start free trial#3 among 14 vendors · still absent from 84.7% of tracked prompt responses
Top-3 citations across 150 prompt × platform pairs
Peer Ranking
Key Metrics
Platform Breakdown
ChatGPT
Grok
Perplexity
Gemini Search
Bing Copilot
Google AI ModeVisible, but narrative can improve. Grafana ranks #3 on presence but #4 on sentiment. The brand appears relatively often, but competitors may be getting more favorable language when they appear.
Where Grafana is losing
Prompts where competitors are visible and Grafana is not.
These prompt-level losses are the first prompts to track and repair.
Where Grafana is winning1
What observability platforms can a small engineering team realistically get to meaningful dashboards and alerting on quickly?
Avg # 1.0 · 1 platform
Where Grafana is losing5
Which observability platforms make it easiest to correlate a user-reported error with the right trace and log lines in a distributed system?
Competitors on 6 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 integrate with deployment pipelines to correlate performance regressions with specific code changes?
Competitors on 4 platforms
Track this promptWhich observability platforms handle data retention and query performance best as log volume grows into terabytes per day?
Competitors on 4 platforms
Track this promptI'm evaluating observability platforms — which ones are best suited for a logs-first approach versus a traces-first approach?
Competitors on 3 platforms
Track this prompt
Track Grafana daily before the next report refresh.
Track these gapsResearch dossierCapabilities, use cases, sources, reviews, pricing, and FAQ
Overview
Grafana Labs is a New York-based, privately held open-source observability company founded in 2014 by Raj Dutt, Torkel Ödegaard, and Anthony Woods. It is the commercial entity behind Grafana, the world's most widely used open-source dashboard and visualization tool, as well as the LGTM Stack—Loki (logs), Grafana (visualization), Tempo (traces), and Mimir (metrics). The company serves over 25 million users and more than 5,000 enterprise customers globally, including Bloomberg, Citigroup, Salesforce, Dell Technologies, and TomTom. Its core offering spans Grafana Cloud, a fully managed SaaS observability platform, and Grafana Enterprise Stack for self-hosted deployments. Grafana Labs was named a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms, placed furthest in Completeness of Vision.
Grafana Labs provides an open and composable observability platform built around the open-source LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, Mimir for metrics). It is available as a fully managed cloud service (Grafana Cloud) or as a self-hosted enterprise offering. The platform unifies metrics, logs, traces, profiles, and frontend telemetry in a single pane of glass, supports 100+ data sources, and includes AI-powered tools for cost optimization (Adaptive Telemetry), root cause analysis (Asserts), and intelligent investigation (Grafana Assistant). Additional capabilities include performance testing (k6), incident response and management, synthetic monitoring, and database observability.
Key Facts
- Founded
- 2014
- HQ
- New York, NY, USA
- Founders
- Raj Dutt, Torkel Ödegaard, Anthony Woods
- Employees
- 1600-1800
- Funding
- ~$908M
- ARR
- ~$400M
- Customers
- 5,000+
- Valuation
- $6B (Aug 2024); ~$9B reported (Feb 2026)
- Status
- Private
Target users
Key Capabilities10
- Unified metrics, logs, traces, and profiles via the open-source LGTM stack (Loki, Grafana, Tempo, Mimir)
- Highly customizable, real-time dashboards with 100+ data source connectors
- Adaptive Telemetry for intelligent cost optimization (filtering, aggregation, sampling)
- Kubernetes and infrastructure monitoring with curated out-of-the-box dashboards
- Application observability with native OpenTelemetry and Prometheus support
- Incident Response & Management (IRM) with on-call scheduling and alerting
- Frontend observability (real user monitoring) and synthetic monitoring
- Performance and load testing via integrated k6
- AI-powered investigation and root cause analysis (Grafana Asserts, Grafana Assistant)
- Flexible deployment: fully managed Grafana Cloud, self-hosted Enterprise Stack, or Federal Cloud
Key Use Cases8
- Infrastructure and cloud observability for DevOps and SRE teams
- Application performance monitoring (APM) across microservices
- Log aggregation and analysis at scale
- Distributed tracing and root cause analysis
- Kubernetes cluster monitoring and cost optimization
- Incident detection, on-call management, and response workflows
- Observability cost reduction and telemetry optimization
- Frontend and digital experience monitoring
Grafana customer outcomes
$1.74M in savings
Used Grafana Cloud's Adaptive Metrics feature to identify and eliminate unused time-series data, generating significant cost savings on observability spend.
50% reduction in log volume
Adopted Grafana Cloud's Adaptive Logs to identify commonly ingested but low-value log patterns and reduce unnecessary log ingestion volume.
Recent Trend
How AI describes Grafana3
If your priority is fastest setup across a Kubernetes-style microservices architecture, I’d choose OpenTelemetry + Grafana Tempo.
What's the quickest distributed tracing platform to set up across a microservices architecture on a container orchestration platform?
| | Grafana Cloud | 🟢 Metrics/logs ecosystem; increasingly traces | Strong if you're already invested in Grafana, Prometheus, Loki and Tempo.
I'm evaluating observability platforms — which ones are best suited for a logs-first approach versus a traces-first approach?
...dashboards | Alerting | Logs + metrics + traces | Cost predictability | My take | | --- | --- | --- | --- | --- | --- | | Grafana Cloud | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | Best default | | Better Stack | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | Fastest/eas...
What observability platforms can a small engineering team realistically get to meaningful dashboards and alerting on quickly?
Most cited sources8
4Integrate Frontend Observability with Application Observability | Grafana Cloud documentation
grafana.com·Product Page
- 4
OpenTelemetry and vendor neutrality: how to build an ...
grafana.com·Blog Post
- 4
OnCall | Grafana Cloud on-call management system | Grafana Labs
grafana.com·Comparison
- 4
Frontend Observability | Grafana Cloud | Grafana Labs
grafana.com·Product Page
- 3
Manage multi-team access in a single Grafana instance | Grafana documentation
grafana.com·Documentation
- 3
Sampling | Grafana Tempo documentation
grafana.com·Documentation
Alternatives in Observability & Monitoring6
Grafana Labs differentiates on an open-source-first, 'big tent' philosophy that explicitly avoids vendor lock-in.
- It was placed furthest in 'Completeness of Vision' in the 2025 Gartner Magic Quadrant for Observability Platforms and is positioned as a lower-cost, highly composable alternative to proprietary all-in-one platforms like Datadog and Dynatrace.
- Its hybrid open-source/commercial model—where the core LGTM stack (Loki, Grafana, Tempo, Mimir) is free and monetized through Grafana Cloud or Enterprise licenses—enables a large community-driven adoption funnel that converts organic users to paying enterprise accounts.
- Grafana actively supports 100+ data sources, including competitors' tools, making it a unifying visualization layer across heterogeneous stacks rather than a closed platform.
Reviews
Praised
- Highly customizable and visually clean dashboards
- Extensive data source and plugin ecosystem (100+ integrations)
- Open-source foundation reduces vendor lock-in
- Strong Kubernetes and infrastructure monitoring
- Unified metrics, logs, and traces in one platform
- Generous and functional free tier
- Active and large community
- Cost-effective vs. proprietary observability tools
Criticized
- Steep learning curve for new users and advanced features
- Alerting configuration is complex to set up correctly
- Costs can escalate quickly at high data ingestion volumes
- Lack of hard billing/ingestion cap safeguards in pay-as-you-go
- Requires existing observability knowledge to maximize value
- Some enterprise features and plugins gated behind paid tiers
Grafana Labs receives strong ratings across review platforms, driven by its visualization flexibility, deep integrations, and open-source accessibility. Gartner Peer Insights named it a Customers' Choice in December 2024. Users consistently praise its customizable dashboards, broad data source support, and value relative to proprietary alternatives. Common criticisms focus on a steep learning curve for beginners, complex alerting setup, and cost unpredictability at scale under the pay-as-you-go model.
Pricing
Grafana Cloud offers three tiers.
- Free
permanently free with 10,000 active metrics series, 50 GB/month of logs, traces, and profiles, and 14-day retention. Pro (on-demand): starts at $19/month with pay-as-you-go usage; metrics at $6.50/1,000 series, logs/traces/profiles at $0.50/GB ingested, Grafana visualization at $8/active user/month ($55 with Enterprise plugins), and IRM at $20/active user/month.
- Enterprise
annual commit starting at $25,000/year with volume discounts (metrics as low as $3/1,000 series, k6 as low as $0.05/virtual user hour), custom retention, premium support, and flexible deployment options including Federal Cloud and Bring Your Own Cloud.
Limitations
- Users and analysts cite a notable learning curve for new users, particularly around advanced query authoring, permission management, and alerting configuration.
- Costs can escalate quickly under the pay-as-you-go Pro model when data ingestion volumes are high, and the platform lacks native hard-cap billing safeguards to automatically stop ingestion at a spending threshold.
- Fully unlocking the platform's value requires meaningful observability expertise.
- Self-hosted deployments require operational overhead for maintenance and scaling.
- Some enterprise data source plugins are gated behind paid Enterprise tiers.
Frequently asked questions
Topic coverageCoverage by buyer topic
Topic Coverage
Prompt-Level Results
| Prompt | Gemini Search | Bing Copilot | ChatGPT | Perplexity | Google AI Mode | Grok |
|---|---|---|---|---|---|---|
Capability2/5 cited (40%) | ||||||
I'm evaluating observability platforms — which ones are best suited for a logs-first approach versus a traces-first approach? | Neither your brand nor a competitor was cited | Neither your brand nor 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 enterprise observability platforms handle multi-tenant environments with isolated views per team or service best? | Neither your brand nor 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 | Neither your brand nor a competitor was cited | Your brand and a competitor were cited |
Which monitoring platforms have the best anomaly detection — automatically surfacing regressions without manual threshold tuning? | 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 | Neither your brand nor a competitor was cited |
Which observability platforms support business-level metrics like conversion funnels alongside infrastructure and application telemetry? | 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 | Neither your brand nor a competitor was cited |
Which observability platforms support real user monitoring alongside backend APM for correlating frontend and backend performance? | Your brand was cited | A competitor was cited | Your brand and a competitor were cited | Your brand and a competitor were cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Developer Experience3/5 cited (60%) | ||||||
Which observability platforms have the best ad-hoc query experience for high-cardinality log data during an active incident? | Neither your brand nor a competitor was cited | A competitor was cited | Your brand and a competitor were cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Which observability platforms make it easiest for developers new to OpenTelemetry to adopt a trace-first workflow? | Your brand 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 | Neither your brand nor a competitor was cited | Your brand and a competitor were cited |
Which observability platforms make it easiest to correlate a user-reported error with the right trace and log lines in a distributed system? | A competitor was cited | A competitor was cited | A competitor was cited | A competitor was cited | 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? | 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 | A competitor was cited |
Which observability platforms have the best alert management features to help teams reduce alert fatigue through smart routing and thresholds? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand was cited | A competitor was cited | A competitor was cited | Your brand and a competitor were cited |
Integrations & Ecosystem3/5 cited (60%) | ||||||
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 | 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 | Your brand and a competitor were cited |
Which APM tools integrate best with cloud provider managed databases and serverless functions for end-to-end visibility? | Neither your brand nor 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 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 | Neither your brand nor 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? | 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 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? | Neither your brand nor a competitor was cited | A competitor was cited | Your brand and a competitor were cited | Your brand was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
Performance & Reliability4/5 cited (80%) | ||||||
What observability platforms offer the best tail-based sampling for high-throughput systems to control costs without losing important traces? | 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 | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
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 | 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 SaaS monitoring platforms have the lowest ingestion lag during high-volume log bursts so alerting stays fast? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited | A competitor was cited | Neither your brand nor a competitor was cited | 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 | Neither your brand nor a competitor was cited | Your brand and a competitor were cited | 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? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited | A competitor was cited | A competitor was cited | Neither your brand nor a competitor was cited |
Setup & First Run3/5 cited (60%) | ||||||
What observability platforms support unified metrics, traces, and logs instrumentation for Node.js and Python polyglot applications? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited | A competitor was cited | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited |
What's the quickest distributed tracing platform to set up across a microservices architecture on a container orchestration platform? | 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 | A competitor was cited |
What observability platforms can a small engineering team realistically get to meaningful dashboards and alerting on quickly? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited | A competitor was cited | Neither your brand nor 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? | Neither your brand nor 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 |
What are the best cloud-hosted observability platforms for migrating from a legacy self-hosted logging stack without losing historical data? | Neither your brand nor a competitor was cited | Neither your brand nor a competitor was cited | Your brand and a competitor were cited | 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 | 29.3% | 21.7% | 8.0% | 20.0% | 58.7% | #11.1 | +0.43 |
| 2 | Datadog | 22.0% | 17.6% | 10.0% | 9.3% | 73.3% | #13.9 | +0.49 |
| 3 | Grafana | 15.3% | 14.1% | 12.0% | 1.3% | 9.3% | #18.2 | +0.58 |
| 4 | Dynatrace | 10.7% | 12.9% | 8.0% | 4.0% | 42.0% | #33.3 | +0.55 |
| 5 | Honeycomb | 10.0% | 10.6% | 6.0% | 4.7% | 27.3% | #19.7 | +0.57 |
| 6 | Splunk | 10.0% | 8.5% | 1.3% | 5.3% | 30.0% | #21.5 | +0.41 |
| 7 | Elastic | 7.3% | 5.9% | 2.0% | 0.0% | 27.3% | #16.5 | +0.47 |
| 8 | Coralogix | 5.3% | 2.6% | 0.0% | 0.0% | 7.3% | #4.3 | +0.38 |
| 9 | Logz.io | 4.7% | 2.3% | 0.0% | 3.3% | 2.7% | #9.8 | +0.53 |
| 10 | Better Stack | 3.3% | 2.1% | 0.7% | 0.7% | 5.3% | #27.4 | +0.40 |
| 11 | Chronosphere | 0.7% | 0.6% | 0.0% | 0.0% | 1.3% | #31.5 | +0.80 |
| 12 | Axiom | 0.7% | 0.9% | 0.0% | 0.7% | 4.7% | #74.7 | +0.80 |
| 13 | Mezmo | 0.7% | 0.3% | 0.7% | 0.0% | 0.7% | #75.0 | +0.80 |
| 14 | Sentry | 0.0% | 0.0% | 0.0% | 0.0% | 8.0% | — | — |
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