Query APIs, cloud services, and code directly with SQL using a zero-ETL approach—no database required.
Steampipe is an open-source tool that allows developers to query APIs, cloud services, and other data sources using standard SQL without requiring a database. It provides a zero-ETL approach, enabling real-time access to live data through a unified SQL interface. The tool solves the problem of complex data pipelines by letting users directly interrogate APIs and services as if they were database tables.
DevOps engineers, cloud architects, and developers who need to query and analyze data from multiple APIs, cloud platforms, or services without building and maintaining ETL pipelines.
Developers choose Steampipe because it eliminates the need for custom data integration code, provides real-time access to live data, and leverages familiar SQL syntax across a wide range of data sources through an extensible plugin ecosystem.
Zero-ETL, infinite possibilities. Live query APIs, code & more with SQL. No DB required.
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Eliminates the need for complex data pipelines by allowing direct SQL queries on APIs, enabling real-time access without database maintenance, as emphasized in the project description.
Provides access to over 2000 tables through community-built plugins for services like AWS, GitHub, and Kubernetes, offering broad integration coverage as highlighted in the README.
Supports parallel querying of multiple data sources for faster insights, a key feature mentioned in the README that enhances query speed across APIs.
Available as CLI, Postgres FDW, SQLite extension, and export tool, providing versatility for different environments, from local development to CI/CD pipelines.
Since plugins are community-maintained, there can be inconsistencies in documentation, update frequency, and reliability, which may lead to integration issues or broken queries.
Queries live data directly without built-in caching or batch handling, making it susceptible to API rate limits and performance bottlenecks in high-volume scenarios.
For straightforward API calls that don't require complex querying, the SQL layer adds unnecessary complexity and potential latency compared to direct API clients.