Starburst

Updated Jun 2026

Starburst is the commercial distributions platform for Trino, an open-source distributed SQL query engine that lets enterprises query data across dozens of sources without moving it.

Updated 12 days ago Reviewed by 7wData

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Provides a commercial federated query engine for enterprises to analyze data across multiple sources (cloud, on-prem, legacy databases) without consolidating it, with built-in AI, governance, and workload management.

Starburst is the commercial distributions platform for Trino, an open-source distributed SQL query engine that lets enterprises query data across dozens of sources without moving it. Founded in 2017 by Justin Borgman (previously GM of analytics at Teradata), the company builds managed cloud (Galaxy) and self-managed (Enterprise) offerings layered on top of Trino, adding governance, caching, workload isolation, and AI capabilities. In May 2025, Starburst closed a $250 million Series D at a $3.35 billion valuation, led by Alkeon Capital with participation from Andreessen Horowitz, Coatue, Index Ventures, and Salesforce Ventures.

The company crossed $100 million in annual recurring revenue in February 2026, reaching a $20 million AI run rate with nearly 40% year-over-year growth and 130% net dollar retention. Starburst's customer base spans Fortune 500 enterprises: financial services institutions dominate (relationships with four of the five largest US banks and seven of the ten largest EMEA banks), alongside retailers like DoorDash and Comcast, each using Starburst to build data mesh architectures or data virtualization layers. In 2025, Starburst pivoted aggressively toward agentic AI, launching Starburst AI Workflows, a multi-agent infrastructure, and native support for vector stores on Apache Iceberg.

The company announced partnerships with Dell (Data Lakehouse analytics engine), NetApp, and Snowflake's Open Semantic Interchange initiative. With 537 employees as of March 2026, Starburst competes against cloud data warehouses (Snowflake, BigQuery), open-source Trino communities, and increasingly against embedded engines like DuckDB for smaller analytic workloads. CEO Borgman signaled openness to acquisitions of complementary Series A/B companies in February 2026.

Who buys this

Enterprise financial services institutions (banks, payment processors)
Large retailers and e-commerce platforms (DoorDash, Comcast, Zalando)
Enterprises with multi-cloud and hybrid data architectures
Organizations building data mesh and data virtualization platforms

Publicly disclosed clients

DoorDash
Comcast
HSBC
Vectra AI
Zillow
Standard Chartered
Carrefour Brazil
Priceline

Strengths and what to watch

Strengths

Market leadership in commercial Trino with $100M+ ARR, 130% net dollar retention, and 20% new customer growth demonstrating strong expansion.
AI-first positioning with native agentic workflows, multi-agent MCP infrastructure, and vector store integration launched in 2025.
Deep financial services penetration: relationships with 4 of 5 top US banks and 7 of 10 top EMEA banks; 85% YoY growth in financial services sector.

Watch for

Internal workforce instability: multiple layoff rounds mentioned in Glassdoor reviews (3.9/5 employee rating); expansion plan from 350 to 700 employees suggests prior rightsizing.
Customer concentration in financial services: 85% year-over-year growth in one vertical creates revenue exposure if banking sector slows or spending tightens.
Competition from open and embedded alternatives: free Trino communities, DuckDB's embedded analytics gains, and SQL improvements in cloud data warehouses (Snowflake, BigQuery).

Recent moves

Key Information

Industry: Data Lake / Lakehouse
Founded: 2017
Employees: 501-1000
Headquarters: Boston, MA

Frequently Asked Questions

What is Starburst?

Starburst is the commercial distribution platform for Trino, an open-source SQL query engine founded in 2017. It enables enterprises to query data across multiple sources—cloud, on-premise, and legacy databases—without consolidating it. The company offers Galaxy (cloud) and Enterprise (self-managed) versions with governance, caching, and AI layered on Trino.

How does Starburst help enterprises query data across multiple sources?

Starburst enables federated querying across dozens of data sources without consolidating or moving data. It uses Trino's distributed SQL engine to query cloud systems, on-premise databases, and legacy systems simultaneously. Starburst adds governance, workload isolation, and caching layers, making it practical for enterprises building data mesh and data virtualization architectures.

What is Starburst's recent funding and financial performance?

In May 2025, Starburst closed a $250 million Series D at $3.35 billion valuation, led by Alkeon with participation from Andreessen Horowitz, Coatue, Index Ventures, and Salesforce Ventures. By February 2026, the company reached $100 million ARR with 40% year-over-year growth, 130% net dollar retention, $20 million AI run rate.

Which major companies use Starburst?

Notable Starburst customers include DoorDash, Comcast, HSBC, Zillow, Standard Chartered, Carrefour Brazil, and Priceline. The company helps enterprises build data mesh architectures and data virtualization layers across multi-cloud and hybrid environments. Financial services dominates its customer base: relationships with four of the five largest US banks and seven EMEA banks.

What AI capabilities does Starburst offer?

Starburst launched AI Workflows in 2025, featuring multi-agent infrastructure for agentic workloads. The platform includes native support for vector stores on Apache Iceberg, enabling semantic search and retrieval-augmented generation. With a $20 million AI run rate as of February 2026, Starburst demonstrates aggressive investment in modern enterprise AI-driven analytics capabilities.

What are the main risks or concerns with Starburst?

Starburst faces workforce concerns: Glassdoor reviews cite multiple layoffs despite expansion plans from 350 to 700 employees. Customer concentration creates risk—85% year-over-year growth in financial services means sector slowdown could hurt revenue. Competition comes from free Trino communities, DuckDB embedded analytics, and modern SQL improvements in Snowflake and BigQuery.

How Starburst compares

Direct head-to-head against 3 competitors. Picked by 7wData.

Positioning: Provides a commercial federated query engine for enterprises to analyze data across multiple sources (cloud, on-prem, legacy databases) without consolidating it, with built-in AI, governance, and workload management.
Customer segments: Enterprise financial services institutions (banks, payment processors)
Strengths: Market leadership in commercial Trino with $100M+ ARR, 130% net dollar retention, and 20% new customer growth demonstrating strong expansion.
Watch for: Internal workforce instability: multiple layoff rounds mentioned in Glassdoor reviews (3.9/5 employee rating); expansion plan from 350 to 700 employees suggests prior rightsizing.
Recent moves: Starburst raises $250M Series D at $3.35B valuation; launches AI Workflows and Starburst AI Agent

Positioning: Open lakehouse platform for SQL analytics on Apache Iceberg, without data movement or proprietary lock-in.
Customer segments: Enterprise data engineers and analysts at mid-to-large companies seeking cloud-agnostic, open lakehouse analytics.
Strengths: Reflections (automated caching layer) accelerates queries on Iceberg tables without ETL pipelines or separate data copies.
Watch for: SAP acquisition announced May 2026 creates roadmap uncertainty and potential lock-in to SAP ecosystem post-close.
Recent moves: SAP announced acquisition of Dremio to integrate open lakehouse analytics into SAP Business Data Cloud, May 2026.

Positioning: Single platform combining data engineering, warehousing, and ML workloads on open Delta Lake and Apache Spark.
Customer segments: Data engineers, data scientists, and ML teams at large enterprises running combined analytics and AI workloads.
Strengths: Unity Catalog provides centralized governance across data, ML models, and notebooks in one open-source catalog layer.
Watch for: Customers cite complex pricing across SKUs and compute units, making cost forecasting unpredictable at scale.
Recent moves: Databricks closed Series L funding of $4 billion at $134 billion valuation, December 2025.

Positioning: Cloud data platform for governed storage, warehousing, and application development across AWS, Azure, and GCP.
Customer segments: Enterprise data teams and BI practitioners at Fortune 500 companies seeking governed cloud analytics with marketplace access.
Strengths: Snowpark Container Services lets teams run Python and ML workloads inside Snowflake without moving data externally.
Watch for: Customers cite consumption-based pricing surprises: query cost overruns without granular budget controls trigger executive pushback.
Recent moves: Snowflake agreed to acquire Observe, an observability platform, for approximately $1 billion, announced January 2026.

Sources

www.starburst.io — Company mission, product portfolio (Galaxy, Enterprise), positioning against competitors, customer roster
www.starburst.io — Series D funding details ($250M at $3.35B), investor names (Alkeon, Altimeter, B Capital, Andreessen Horowitz, Coatue, Index, Salesforce Ventures), growth metrics (3X ARR growth, tripled customer base)
www.starburst.io — $100M ARR milestone (Feb 2026), 40% YoY growth, 130% net dollar retention, $20M AI run rate, financial services growth (85% YoY), top bank relationships, acquisition openness
www.prnewswire.com — Justin Borgman as CEO and co-founder; Boston Globe Tech Power Players recognition in 2025
www.glassdoor.com — Employee sentiment (3.9/5 rating, 67% recommend), mentions of layoffs, compensation concerns, job stability issues
www.starburst.io — AI agent launch details, multi-agent infrastructure, vector store integration, agentic workforce positioning
www.starburst.io — Open Semantic Interchange partnership with Snowflake; industry standard collaboration

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