Metabase
Metabase is an open-source business intelligence platform founded in 2014 by Sameer Al-Sakran within venture studio Expa before spinning out as an independent company.
Profile
Open-source business intelligence tool that lets non-technical users ask questions of data, build dashboards, and create reports without SQL.
Metabase is an open-source business intelligence platform founded in 2014 by Sameer Al-Sakran within venture studio Expa before spinning out as an independent company. The platform enables teams to explore data, build dashboards, and generate reports without requiring SQL knowledge or engineering assistance. Metabase is used by over 80,000 organizations globally across finance, healthcare, technology, retail, and other sectors.
The company raised $42.5 million in two funding rounds: a Series A in 2019 and a $30 million Series B led by Insight Partners in May 2021, with participation from Expa and New Enterprise Associates. The company is headquartered in San Francisco with approximately 122 employees and reported $13.4 million in ARR in 2025. Metabase's product portfolio includes open-source self-hosted deployments, cloud-hosted Metabase, and enterprise editions supporting embedded analytics and white-label solutions.
Recent product roadmap emphasis centers on AI-assisted analytics through Metabot, its natural-language assistant that can answer questions, generate SQL, and provide data summaries. In March 2026, Metabase released Data Studio, an analyst workbench for building semantic layers with features including dependency tracking, data transformation, and glossary management. The May 2026 release added AI governance controls—token limits, access controls by user group, and custom system prompts—reflecting the company's pivot toward making AI analytics features accessible and cost-controlled.
The platform supports 20+ data sources including PostgreSQL, BigQuery, Snowflake, and MongoDB. Metabase's positioning emphasizes self-service analytics that reduces engineering bottlenecks and accelerates decision-making across non-technical teams. The company remains private with no announced Series C or public offering plans.
Who buys this
- Mid-market technology and SaaS companies embedding analytics into products for end customers
- Financial services and fintech firms running self-service dashboards on data warehouses
- Healthcare and nonprofit organizations reporting on operations and outcomes
- Enterprise organizations deploying analytics governance with semantic layers and content curation
Publicly disclosed clients
- HuggingFace
- McDonald's
- Capital One
- Deutsche Telekom
- Reforge
- Synctera
- Gojek
Strengths and what to watch
Strengths
- 42,400+ GitHub stars with active open-source community contributing code and integrations across 5,600+ forks
- Dual revenue model combining free open-source adoption with cloud and enterprise editions; achieved $13.4M ARR on 80,000+ customer base
- Deep AI integration through Metabot and Model Context Protocol support enabling data queries via Claude and other LLM agents without SQL
Watch for
- Extended private funding runway: last capital raised May 2021 ($30M Series B); no Series C announced and doubtful additional rounds will occur, raising questions about growth investment pace relative to enterprise feature development
- Open-source licensing model lock-in: AGPL for open-source edition creates tension with commercial editions; potential for key-person risk around Sameer Al-Sakran's leadership continuity
- Increased competitive pressure from generalist AI tools (Claude, ChatGPT) handling ad-hoc analytics queries directly, potentially commoditizing Metabot's value proposition for simpler use cases
Recent moves
- 3mo ago Metabase 61 ships AI governance controls including token limits, per-group access controls, and dashboards-as-code from MCP terminals
- 4mo ago Metabase 60 open-sources AI tools and launches official MCP server for Claude and ChatGPT integration; adds Slack integration for Metabot
- 5mo ago Metabase 59 introduces Data Studio, an analyst workbench for building semantic layers with dependency tracking and AI-assisted transforms
- 9mo ago Metabase 57 adds dark mode and strengthens governance workflows for enterprise deployments
- 12mo ago Metabase 56 brings dashboard filters in more relevant places, time grouping for native queries, and new embedding options
Key Information
- Industry
- BI Platforms
- Founded
- 2014
- Headquarters
- San Francisco
Frequently Asked Questions
What is Metabase?
Metabase is an open-source business intelligence platform founded in 2014 that helps non-technical users explore data, build dashboards, and generate reports without SQL knowledge. It's used by over 80,000 organizations globally and offers self-hosted, cloud, and enterprise deployment options with support for 20+ data sources.
How does Metabase work for non-technical users?
Metabase eliminates SQL requirements by providing an intuitive query interface where users ask questions of data in natural language or through visual builders. The platform then generates SQL behind-the-scenes, handles the technical complexity, and returns results as dashboards, reports, and visualizations without requiring engineering assistance.
What is Metabot?
Metabot is Metabase's AI-powered natural language assistant that answers data questions, generates SQL automatically, and provides data summarization. It integrates with Claude and other LLM agents through Model Context Protocol, allowing users to run complex analytical queries through conversational AI without SQL knowledge or platform access.
What data sources does Metabase support?
Metabase connects to 20+ data sources including PostgreSQL, BigQuery, Snowflake, and MongoDB. It integrates with leading data warehouses, SQL databases, and cloud platforms, making it flexible for organizations with diverse data infrastructure. This broad connectivity enables teams to query and visualize data wherever it's stored.
Does Metabase have governance and enterprise features?
Yes. Metabase's enterprise edition includes AI governance controls—token limits, per-user-group access controls, and custom system prompts. Data Studio, released March 2026, provides semantic layer tools with dependency tracking, data transformation, and glossary management. These features enable organizations to govern analytics, reduce engineering bottlenecks, and accelerate decision-making across teams.
Can you embed Metabase analytics in your own product?
Yes. Metabase offers embedded analytics and white-label solutions through its enterprise edition, allowing companies to integrate dashboards and analytics into their own applications. This capability makes Metabase particularly valuable for mid-market SaaS and technology companies building analytics features for end customers.
How Metabase compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Metabase
- Positioning
- Open-source business intelligence tool that lets non-technical users ask questions of data, build dashboards, and create reports without SQL.
- Customer segments
- Mid-market technology and SaaS companies embedding analytics into products for end customers
- Strengths
- 42,400+ GitHub stars with active open-source community contributing code and integrations across 5,600+ forks
- Watch for
- Extended private funding runway: last capital raised May 2021 ($30M Series B); no Series C announced and doubtful additional rounds will occur, raising questions about growth investment pace relative to enterprise feature development
- Recent moves
- Metabase 61 ships AI governance controls including token limits, per-group access controls, and dashboards-as-code from MCP terminals
Apache Superset
- Positioning
- Open-source, SQL-first BI platform for data teams, self-hosted or via Preset managed cloud, positioned against proprietary tools on cost and transparency.
- Customer segments
- SQL-fluent data and analytics teams at mid-market to enterprise, requiring cloud warehouse connectivity without vendor lock-in.
- Strengths
- SQL Lab ad hoc exploration plus native connectors to Snowflake, BigQuery, Redshift, Databricks, and Postgres at no per-seat cost on self-hosted.
- Watch for
- Production deployments require five separate processes (web, worker, scheduler, Redis, Postgres), each failing independently, raising ops burden significantly.
- Recent moves
- December 2025: Superset 6.0 released as the largest architectural and visual overhaul in project history, with 155 contributors.
Looker
- Positioning
- Google Cloud enterprise BI platform built on LookML semantic layer for governed, warehouse-native analytics in BigQuery-heavy organizations.
- Customer segments
- Enterprise data engineering teams on Google Cloud, SaaS ISVs embedding analytics, governance-heavy orgs requiring a single source of truth.
- Strengths
- LookML semantic layer enforces consistent, version-controlled metric definitions across dashboards, APIs, and embedded surfaces at enterprise scale.
- Watch for
- CVE-2025-12743 (Feb 2026): RCE and cross-tenant data exfiltration on self-hosted Looker instances, requiring manual patching by customers.
- Recent moves
- April 2026, Google Cloud Next: Agentic BI launched with Dashboard Agents, Conversational Agents, and a managed MCP server for semantic layer access.
Mode Analytics (now ThoughtSpot Analyst Studio)
- Positioning
- Code-first SQL and Python notebook platform for data analysts, absorbed into ThoughtSpot enterprise BI suite as Analyst Studio.
- Customer segments
- Data analysts and engineers at mid-to-enterprise SaaS and tech companies. SQL fluency required. Not aimed at business users.
- Strengths
- Unified SQL, Python, and R notebook workflow with shareable dashboards in a single collaborative analyst interface.
- Watch for
- Mode is discontinued. Customers migrated to ThoughtSpot Analyst Studio face enterprise six-figure pricing and layoff-driven roadmap uncertainty.
- Recent moves
- Early 2025: ThoughtSpot Analyst Studio (Mode successor) reached general availability for ThoughtSpot Cloud customers. Mode no longer sold independently.
Sources
- www.metabase.com — Company description, product portfolio, customer count (80,000+), deployment options, data connectors, and core positioning
- techcrunch.com — Series B funding ($30M, May 2021), founders (Sameer Al-Sakran), company origin within Expa, total funding ($42.5M), founding year, market position
- www.metabase.com — Named customers (Aula, Reforge, Synctera, Bdeo, Alto), customer segments by industry, use cases, measurable outcomes across 80,000+ organizations
- www.metabase.com — Recent releases (v53-v61, Feb 2025-May 2026), product roadmap, AI governance features, Data Studio announcement, Metabot capabilities, feature enhancements
- github.com — Open-source community statistics (42,400+ stars, 5,600+ forks), contributor engagement, licensing (AGPL for open source), development activity
- www.glassdoor.com — Employee satisfaction and company culture (5.0 ratings), team composition, remote work flexibility, company size and operational insights
- www.metabase.com — Data Studio announcement (March 2026, v59), semantic layer features, analyst workbench capabilities, AI SQL generation
- www.metabase.com — Metabot AI features, natural language querying, SQL generation, data summarization, AI assistant capabilities