spb/tools-spboucher-ai

1{2  "slug": "grafana",3  "name": "Grafana",4  "aliases": ["Grafana OSS", "Grafana Cloud"],5  "vendor": { "name": "Grafana Labs", "slug": "grafana-labs", "website": "https://grafana.com" },6  "homepage_url": "https://grafana.com/",7  "docs_url": "https://grafana.com/docs/grafana/latest/",8  "repo_url": "https://github.com/grafana/grafana",9  "pricing_url": "https://grafana.com/pricing/",10  "license_url": "https://github.com/grafana/grafana/blob/main/LICENSE",11  "product_type": "application",12  "product_status": "active",13  "summary": "Dashboarding and alerting platform that visualizes metrics, logs and traces from Prometheus, SQL databases and dozens of other data sources",14  "description": "Grafana is an open-source visualization and alerting application from Grafana Labs, licensed under AGPL-3.0 since 2021. It connects to data where it already lives, through plugins for Prometheus, Loki, Tempo, InfluxDB, Elasticsearch, PostgreSQL, MySQL, ClickHouse, cloud monitoring APIs and many more, and renders dashboards composed of panels (time series, tables, heatmaps, logs, node graphs) driven by each source's native query language. Dashboards can be templated with variables, shared, versioned as JSON and provisioned from files.\n\nGrafana Alerting evaluates rules against any data source and routes notifications to email, Slack, PagerDuty, webhooks and other contact points, with silences and grouping borrowed from Prometheus Alertmanager. The same binary includes Explore for ad hoc queries, correlations between metrics and logs, annotations and role-based access with teams and folders. Grafana Labs also develops the companion backends Loki (logs), Tempo (traces), Mimir (metrics) and Pyroscope (profiles), and sells Grafana Cloud, a hosted stack with a free tier, and Grafana Enterprise with additional plugins and support.\n\nFor a small infrastructure, Grafana with Prometheus is the common self-hosted pairing: exporters collect host and application metrics, Prometheus stores them, Grafana charts them and alerts. The self-hosted edition requires maintaining its SQLite or Postgres state, plugin updates and authentication, and large dashboards or long ranges put load on the data source rather than Grafana itself. Some data-source plugins and features are reserved for the Enterprise and Cloud offerings.",15  "capabilities": ["Dashboards with time-series, table, heatmap, log and graph panels", "Data-source plugins for Prometheus, Loki, Tempo, SQL databases, Elasticsearch and cloud APIs", "Unified alerting with notification policies, silences and many contact points", "Templated variables, annotations and dashboard provisioning as JSON", "Explore mode for ad hoc queries and metric-log correlation", "Authentication via OAuth, LDAP, SAML (enterprise) and role-based access"],16  "workflows": ["Chart node and service metrics scraped by Prometheus", "Alert on error rates or disk usage with Slack or email notifications", "Build an operational dashboard over a PostgreSQL or ClickHouse database", "Provision dashboards from version-controlled JSON"],17  "advantages": ["Very broad data-source support", "Dashboards are portable JSON shared by a large community", "Free self-hosted edition and a hosted free tier", "Alerting and visualization in one application"],18  "limitations": ["AGPL-3.0 license imposes obligations when modifying and serving the software", "Some plugins and features are Enterprise or Cloud only", "Query load falls on backing data sources; Grafana stores no metrics itself", "Self-hosting requires managing state, upgrades and authentication"],19  "prerequisites": ["At least one data source (Prometheus, a SQL database, etc.)", "Docker, a package or a Grafana Cloud account"],20  "audiences": ["Site-reliability and operations teams", "Developers monitoring their services", "Analysts building operational dashboards over SQL data"],21  "alternatives": ["prometheus", "uptime-kuma", "metabase"],22  "comparison_notes": "Prometheus is the metrics store and query engine that Grafana most often visualizes; its built-in UI is minimal, so the two are complementary rather than competing. Uptime Kuma covers only availability checks and status pages with far less setup. Metabase and other BI tools target business data in SQL warehouses with question-style exploration, whereas Grafana is oriented to time series and operational alerting.",23  "categories": [{ "slug": "monitoring-observability", "primary": true }, { "slug": "bi-dashboards" }],24  "tags": ["monitoring", "dashboards", "alerting", "time-series", "open-source", "self-hosted", "observability"],25  "use_cases": ["monitor-services", "visualize-metrics"],26  "operating_systems": ["linux", "macos", "windows", "web"],27  "execution_modes": ["self-hosted", "cloud"],28  "interfaces": ["web", "api", "cli"],29  "deployment_models": ["on-premises", "saas"],30  "integrations": ["Prometheus", "Loki", "Tempo", "PostgreSQL", "MySQL", "ClickHouse", "Elasticsearch", "InfluxDB", "Slack", "PagerDuty"],31  "data_formats": ["Dashboard JSON", "PromQL", "LogQL", "SQL"],32  "languages": ["Go", "TypeScript"],33  "source_model": "mixed",34  "license_spdx": "AGPL-3.0-only",35  "pricing_model": ["open-source", "freemium", "paid", "enterprise"],36  "pricing_checked_at": "2026-11-02",37  "self_hostable": true,38  "sources": [39    { "url": "https://grafana.com/", "type": "official_site", "title": "Grafana Labs", "supports": ["name", "summary", "vendor"], "checked_at": "2026-11-02" },40    { "url": "https://grafana.com/docs/grafana/latest/", "type": "official_docs", "title": "Grafana documentation", "supports": ["capabilities", "workflows", "integrations"], "checked_at": "2026-11-02" },41    { "url": "https://github.com/grafana/grafana/blob/main/LICENSE", "type": "license_page", "title": "Grafana LICENSE (AGPL-3.0)", "supports": ["license_spdx", "source_model"], "checked_at": "2026-11-02" },42    { "url": "https://grafana.com/pricing/", "type": "pricing_page", "title": "Grafana Cloud pricing", "supports": ["pricing_model"], "checked_at": "2026-11-02" }43  ],44  "confidence": "high",45  "discovery_method": "editorial-research",46  "depth": "deep",47  "editorial_status": "reviewed",48  "visibility": "public",49  "featured": false,50  "author": "batch-B2"51}52