Problem solved

Developers and data analysts often struggle with pulling data from multiple SaaS tools for reporting or analysis, as each service has its own API and data format. anyquery solves this by providing a unified SQL interface that abstracts away these differences, allowing users to join, filter, and aggregate data across disparate services using familiar SQL syntax, all from a local, privacy-respecting environment.

Use cases

• Create a cross-service dashboard by joining GitHub issues with Jira tickets and Slack messages
• Export data from Google Sheets to a PostgreSQL database for further analysis
• Monitor team productivity by querying commit counts from GitHub and task completions from Asana
• Perform security audits by querying logs across multiple cloud services
• Build a personal knowledge base by aggregating data from note-taking apps like Notion and Evernote
• Sync data between two different SaaS tools for migration or backup purposes

Audience

• Developers
• Data Scientists
• Business Users

Pros

• Supports over 40 SaaS apps via a single binary, reducing integration overhead
• Familiar SQL syntax makes it accessible to anyone who knows SQL
• Local-first design ensures data privacy and security
• Can connect to your own databases for federated queries across internal and external data
• Open source with an active community

Cons

• Limited to the SaaS services for which plugins exist; not all services are covered
• No cloud-hosted option means you must run it locally, which may not suit all workflows
• Performance may degrade when querying large datasets or services with rate limits