Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
Anyquery is a developer-focused data query engine whose core goal is to let you “query almost any data source with SQL.” It can connect not only to traditional databases, but also abstract data sources such as Notion, Google Sheets, GitHub, Spotify, Salesforce, local files, browser tabs, email, and calendars into queryable tables. The crawled content also shows a clear focus on LLM use cases: Anyquery can be connected to ChatGPT, Claude Desktop, LibreChat, TypingMind, and others, enabling users to chat with their own data.
On the database side, Anyquery supports MySQL, PostgreSQL, SQLite, DuckDB, ClickHouse, MariaDB, Cassandra, TiDB, YugabyteDB, SingleStore, and more. It also notes that, starting from version 0.3.0 beta, it supports capabilities such as cross-database joins and data insertion. Its plugin ecosystem is a major strength, covering a wide range of services including Airtable, Asana, Docker, Git, GitHub, Google Sheets, Notion, Shopify, Spotify, Todoist, Trello, and Vercel. Because it is based on SQLite, it can also reuse extensions such as sqlean, sqlite-http, sqlite-vss, and sqlite-vec for text processing, HTTP requests, vector search, CSV/HTML/URL parsing, and more.
Anyquery can be installed via apt, dnf/yum, AUR, Homebrew, Scoop, Chocolatey, and Winget, covering mainstream Linux, macOS, and Windows environments. It is clearly geared toward local and self-hosted use. Its documentation includes getting started guides, plugin installation, profile configuration, file and log querying, result export, MySQL server, CLI reference, plugin development, project architecture, and contribution guides, making the overall structure fairly complete. It also provides command entry points such as MCP, gpt, server, and tool dev, though the crawled text does not go into detail on its API/SDK.
The crawled content does not mention any pricing, paid plans, payment methods, or commercial support, so its business model cannot be determined from the available information. It is worth noting that some database write and cross-database features are marked as beta. If used in production workflows, stability, permission models, and data consistency should be verified first. Integrations with third-party SaaS/API services may also be affected by external rate limits, authentication requirements, network conditions, and API changes.
Its strengths include a unified SQL interface, broad data-source coverage, multiple installation methods, fairly systematic documentation, and the ability to connect LLMs with BI/database tools. Its drawbacks are that commercial support, licensing, and pricing information are not clearly stated, and non-SQL users will face a learning curve. It is especially suitable for developers, data engineers, technical operations teams, and analysts working on cross-system queries, data movement, personal automation, and LLM data integration.
The crawled content does not provide information on access from mainland China, mirrors, payment, or compliance, so its availability in China can only be marked as unknown. If you rely on integrations such as GitHub, Google, Spotify, Notion, or Salesforce, you may need to separately evaluate the accessibility of each third-party service in the Chinese network environment. Comparable alternatives include DuckDB, Datasette, Steampipe, Apache Drill, Trino, and DBeaver.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on anyquery.dev official site.
anyquery.dev is an 开源 Dev Tools provider. TG4G tracks its product information, an overall rating of 9.0/10, and a China-accessibility score of China direct-connect friendly. Click "Visit Official Site" to reach anyquery.dev directly.