Blazing fast, instant realtime GraphQL APIs on all your data with fine grained access control, also trigger webhooks on database events.
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Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
MCP Toolbox for Databases is an open source MCP server for databases.
Apache Doris is a real-time analytics and hybrid search database for AI agents.
Python SQL Parser and Transpiler
the portable Python dataframe library
Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.
tbls is a CI-Friendly tool to document a database, written in Go.
ingestr is a CLI tool to copy data between any databases with a single command seamlessly.
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
🔥🔥🔥 Open source Reverse ETL - alternative to hightouch and census.
Data API Framework for AI Agents and Data Apps
Source-available semantic and context layer, rule engine, and semantic sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context across 8 SQL dialects.
Reverse ETL for the code-first data stack
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.