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Verified July 24, 2026AI Observability and Monitoring Platform

Grafana AI

Grafana Labs / grafana.com

AI-powered open source observability platform providing metrics (Prometheus), logs (Loki), traces (Tempo), and dashboards with AI query assistance, anomaly detection, and incident management.

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Pricing

Free

Free plan

Yes

Category

Developer Tools

Platforms

3

Rating

4.6 (35000)

Free plan

Yes

API access

Yes

Open source

Yes

Platforms

3

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What is Grafana AI?

Grafana is the most widely used open source observability platform — providing the visualisation, alerting, and dashboarding layer over Prometheus metrics, Loki logs, Tempo traces, and 300+ data sources. Grafana AI features include natural language query generation — describing what to observe in plain language and receiving appropriate PromQL or LogQL queries. Machine Learning in Grafana Cloud applies anomaly detection to time-series metrics without manual threshold configuration. Grafana Incident provides AI-assisted incident response with correlated timelines and AI-drafted post-mortems. The LGTM stack (Loki + Grafana + Tempo + Mimir) provides a complete open source observability suite competing with Datadog on cost. 20 million users including The New York Times, Bloomberg, and eBay validate Grafana as the observability industry standard.

observabilityaimetricslogstracesopen-source
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How Grafana AI works

Grafana AI runs as llm assistant software built around data and text workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web, cli, and api, with API access for teams that want to embed it into their own products.

Key Features

What makes it worth shortlisting

The capabilities that matter most for teams evaluating Grafana AI.

01

AI query generation

Natural language descriptions generating PromQL, LogQL, and TraceQL queries — making Grafana observability data accessible to engineers unfamiliar with query syntax.

02

Machine Learning anomaly detection

Identifies unusual patterns in time-series metrics without manual threshold configuration — adaptive alerting learning normal variation to reduce alert fatigue.

03

Grafana Incident

AI-correlated incident timelines and AI-drafted post-mortems from observability data — reducing manual investigation and post-incident documentation work.

Grafana AI (natural language query generation)Machine Learning (anomaly detection)Grafana Incident (AI incident response and post-mortems)300+ data source pluginsPrometheus metrics visualisationLoki log aggregationGrafana Tempo distributed tracingMimir (long-term metrics storage)Alerting and notificationGrafana Cloud (managed SaaS)

Best use cases

Open source observability with AI query assistance
Anomaly detection for infrastructure metrics
LGTM stack self-hosted observability
AI-assisted incident response
Metrics, logs, and traces in one platform

Who should use it

Platform and DevOps engineers
SREs and reliability engineers
Observability platform architects
Developers building cloud-native applications
Operations and infrastructure teams

Pros

  • 20 million users validate Grafana as the observability industry standard across technology organisations
  • Open source self-hosting provides cost-effective observability for high-volume telemetry without per-GB pricing
  • AI query generation makes PromQL and LogQL accessible to developers unfamiliar with query syntax
  • LGTM stack competes on cost with Datadog and New Relic for the same observability capabilities

Cons

  • Query language complexity remains a barrier even with AI assistance for complex queries
  • Self-hosted requires infrastructure expertise — Grafana Cloud managed service addresses this at higher cost
  • Competing with Datadog (covered), New Relic, and Dynatrace for observability market share

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Pricing Analysis

Is it worth the price?

Open source self-hosted free. Grafana Cloud free tier (limited). Enterprise from $299/month. Custom enterprise available.

Model

Open Source

Starting price

Free

Free trial

No

Similar Tools

Tools like Grafana AI

Datadog (covered) provides managed observability. New Relic provides cloud observability. Dynatrace provides AIOps observability. Honeycomb provides high-cardinality observability. Prometheus provides open source metrics without Grafana visualisation.

Comparison

Grafana AI vs Hugging Face

A side-by-side look at the closest alternative in this category.

Grafana AI favicon

Grafana AI

Grafana Labs

Hugging Face favicon

Hugging Face

Hugging Face

Overview
Rating
4.635,000 reviews
4.78,000 reviewsTop rated
Category
Developer Tools
Developer Tools
Subcategory
AI Observability and Monitoring Platform
AI Model Hub
Company
Grafana Labs
Hugging Face
Status
Active
Active
Launch year
2023
2016
Tags
observabilityaimetricslogstracesopen-source
open-sourcemachine-learningmodelsdatasetstransformersresearch
Pricing
Starting price
FreeBest value
$9/mo
Pricing model
Open Source
Freemium
Free plan
Yes
Yes
Free trial
✕
✕
Pricing notes

Open source self-hosted free. Grafana Cloud free tier (limited). Enterprise from $299/month. Custom enterprise available.

Free for most models and Spaces. Pro $9/month for private models, priority inference, and ZeroGPU. Enterprise Hub from $20/user/month for team collaboration and security.

Capabilities
Best for
Open source observability with AI query assistanceAnomaly detection for infrastructure metricsLGTM stack self-hosted observabilityAI-assisted incident responseMetrics, logs, and traces in one platform
Open source model explorationModel fine-tuningResearchML model deploymentDataset management
Target audience
Platform and DevOps engineersSREs and reliability engineersObservability platform architectsDevelopers building cloud-native applicationsOperations and infrastructure teams
AI researchersML engineersData scientistsDevelopersAcademic researchers
AI type
LLM Assistant
ML Platform
Modalities
DataText
TextImageAudioVideoCode
Technical
Model provider
OpenAIGrafana
Open Source Community
Model names
—
LlamaMistralStable DiffusionFLUXWhisper
API available
✓
✓
Open source
✓
✓
Deployment
Open SourceSaaSSelf-hosted
SaaSAPIOpen Source
Platforms
WebCLIAPI
WebPython library
Integrations
PrometheusDatadogCloudWatchElasticsearchKubernetes300+ pluginsAPI
GitHubGoogle ColabAWSAzureGCPVS Code
Team collaboration
✓
✓
Trust & security
Security

Grafana Labs SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements. Self-hosted maintains all data on customer infrastructure.

Enterprise Hub includes SSO, access controls, audit logs, and private infrastructure. SOC 2 compliant.

Privacy notes

Self-hosted Grafana keeps all telemetry data on customer infrastructure. Grafana Cloud processes metrics, logs, and trace data on Grafana Labs managed infrastructure.

Public models and datasets are openly accessible. Enterprise Hub provides private model storage with data handling agreements. Review individual model licences before commercial deployment.

Verdict
Pros
  • 20 million users validate Grafana as the observability industry standard across technology organisations
  • Open source self-hosting provides cost-effective observability for high-volume telemetry without per-GB pricing
  • AI query generation makes PromQL and LogQL accessible to developers unfamiliar with query syntax
  • LGTM stack competes on cost with Datadog and New Relic for the same observability capabilities
  • De facto standard hub for open source AI models with 500,000+ available
  • Transformers library provides consistent API for diverse model families
  • Spaces enable easy demo deployment without web infrastructure
  • Free for public models and strong community support
Cons
  • Query language complexity remains a barrier even with AI assistance for complex queries
  • Self-hosted requires infrastructure expertise — Grafana Cloud managed service addresses this at higher cost
  • Competing with Datadog (covered), New Relic, and Dynatrace for observability market share
  • Technical platform primarily for developers and researchers
  • Inference API quality varies for very large or complex models
  • Navigation complexity increases with scale of the platform
Details

Technical & deployment info

Key facts about model providers, platforms, and team support.

Model Provider

OpenAI, Grafana

Platforms

Web, CLI, API

Deployment

Open Source, SaaS, Self-hosted

Integrations

Prometheus, Datadog, CloudWatch, Elasticsearch, Kubernetes, 300+ plugins, API

Team Collaboration

Yes

Launch Year

2023

Trust

Security & privacy

Compliance signals and data-handling notes as reported by the vendor.

Grafana Labs SOC 2 Type II. ISO 27001. GDPR compliant. Enterprise data handling agreements. Self-hosted maintains all data on customer infrastructure.

Self-hosted Grafana keeps all telemetry data on customer infrastructure. Grafana Cloud processes metrics, logs, and trace data on Grafana Labs managed infrastructure.

Reviews

What users are saying

Verified reviews from signed-in users, stored in the backend and averaged into this tool's rating.

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FAQ

Common questions about Grafana AI

Yes, open source self-hosted is free. Grafana Cloud free tier available. Enterprise from $299/month.

Editorial Verdict

Should you use Grafana AI?

Grafana is the essential AI observability platform for engineering teams wanting open source metrics, logs, and traces with AI query assistance, anomaly detection, and incident management.

Last verified July 24, 2026.

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