Google BigQuery enables companies to handle large amounts of data without having to manage infrastructure. Google’sdocumentation describes it as a « serverless architecture (that) lets you use SQL queries to answer your organization’s biggest questions with zero infrastructure management. BigQuery’s scalable, distributed analysis engine lets you query terabytes in seconds and petabytes in minutes. » Its client libraries allow the use of widely known languages such as Python, Java, JavaScript, and Go. Federated queries are also supported, making it flexible to read data from external sources.

📖 A highly rated canonicalbook on it is « Google BigQuery: The Definitive Guide », a comprehensive reference.

Another enriching read on the subject is the inside story told in thearticle by the founding product manager of BigQuery celebrating its 10th anniversary.

Federated Query Engine for AI - The only MCP Server you'll ever need

• UpdatedFeb 20, 2026
• Python

Blazing fast, instant realtime GraphQL APIs on all your data with fine grained access control, also trigger webhooks on database events.

• UpdatedFeb 19, 2026
• TypeScript

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

• UpdatedFeb 20, 2026
• Python

Modern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.

• UpdatedFeb 20, 2026
• TypeScript

The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

• UpdatedFeb 20, 2026
• Python

📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics

• UpdatedFeb 20, 2026
• Rust

Apache Doris is an easy-to-use, high performance and unified analytics database.

• UpdatedFeb 20, 2026
• Java

⚡️ GenBI (Generative BI) queries any database in natural language, generates accurate SQL (Text-to-SQL), charts (Text-to-Chart), and AI-powered business intelligence in seconds.

• UpdatedFeb 16, 2026
• TypeScript

MCP Toolbox for Databases is an open source MCP server for databases.

• UpdatedFeb 20, 2026
• Go

Python SQL Parser and Transpiler

• UpdatedFeb 20, 2026
• Python

Open Source Feature Flags, Experimentation, and Product Analytics

• UpdatedFeb 20, 2026
• TypeScript

the portable Python dataframe library

• UpdatedFeb 20, 2026
• Python

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.

• UpdatedFeb 20, 2026
• Go

Jitsu is an open-source Segment alternative. Fully-scriptable data ingestion engine for modern data teams. Set-up a real-time data pipeline in minutes, not days

• UpdatedFeb 18, 2026
• TypeScript

Privacy and Security focused Segment-alternative, in Golang and React

• UpdatedFeb 20, 2026
• Go

Dashboards and notebooks in a single place. Create powerful and flexible dashboards using code, or build beautiful Notion-like notebooks and share them with your team.

• UpdatedAug 7, 2025
• TypeScript

tbls is a CI-Friendly tool to document a database, written in Go.

• UpdatedFeb 19, 2026
• Go

🍟 a notebook sql client. what you get when have a lot of sequels.

• UpdatedDec 10, 2022
• JavaScript

ingestr is a CLI tool to copy data between any databases with a single command seamlessly.

• UpdatedFeb 20, 2026
• Python

Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQueryhttps://goo.gl/oY5BCQ

• UpdatedJan 25, 2026
• Python