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Enterprise Layer Intelligence
Categories/Data Platform & Integration/Starburst
Starburst

Starburst

Founded 2017

Query distributed data across multiple databases and cloud lakes without moving or copying files

Pricing model

Free Tier, Paid

You can use Starburst to query data across multiple databases, cloud storage, and warehouses without moving or copying any records. Built on Trino and Apache Iceberg, it allows your teams to execute single SQL queries across Snowflake, Databricks, Redshift, and PostgreSQL simultaneously. Starburst provides automated lakehouse table maintenance through LakeOps, creates governed data products with lineage tracking, and connects natural language AI agents directly to your enterprise datasets. You can run it fully managed in the cloud or self-host in private environments.

What Starburst does

Execute federated SQL queries across separate databasesAutomate Apache Iceberg table compaction and maintenanceStream real-time data from Kafka into data lakehousesBuild and publish governed data products with lineageConnect AI agents to enterprise data sources via MCPAnswer business questions using natural language queryingMonitor query performance and isolate concurrent workloadsRun federated SQL queries across more than 50 distinct data sources in placeIngest streaming and batch data directly into Apache Iceberg tables in secondsAutomate table compaction, snapshot expiry, and orphan file removal with LakeOpsCatalog certified data products with defined ownership, business metrics, and data lineageExpose governed datasets to AI agents using the Model Context Protocol endpointTranslate natural language questions into governed SQL queries using AIDADeploy as a managed SaaS on major clouds or self-host on-premises

Pricing breakdown

Pricing model: Free tier, Paid

PlanList price
FreeFree
Pro (per credit)$0.50 / mo
Enterprise (per credit)$0.75 / mo
Mission-Critical (per credit)$1 / mo

Frequently asked

SnowflakeSnowflakeDatabricksDatabricksPostgreSQLPostgreSQL

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Starburst, Trino, data federation, Apache Iceberg, SQL query engine, cross-source querying, data lakehouse, Snowflake, Databricks, AIDA, data products, data governance, federated queries, LakeOps, data engineering