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SurrealDB

Stores documents, graphs, vectors, and relational data in one engine with built-in agent memory layer.

Developer toolsDataVector databaseFor developersAPI
surrealdb.com ↗WikidataXYouTubeLinkedInInstagramLaunched on Product Hunt · 2026-06-03
At a glanceswept 2026-09-18
Price
Price not read
Use
Established≈ 3.5k visits a month · estimate, 2026-09
Activity
Actively maintainednothing dated on the site
Company
since 2015per Wikidata
Runs as
API
Alternatives in Developer toolsby use, among tools still maintained
  • YantrikDBPersistent memory database for AI agents that stores and retrieves facts across sessions with conflict detection.

    Emerging

  • zinfradbStores and searches vectors, graphs, and text in a single database binary.

    Emerging

  • V0 DevDeploys and runs applications and AI agents on serverless infrastructure with sandboxed environments and model gateways.

    Widely used

  • JetBrainsIntegrated development environments for Java, Python, JavaScript, C++, .NET and Kotlin with code analysis and debugging.

    Widely usedActively maintained

  • NVIDIADesigns GPUs and AI computing platforms for data centers, gaming, and embedded systems.

    Widely usedActively maintained

  • WhatsApp.comSends and receives messages, calls, and shares media over internet connection.

    Widely used

All Developer tools tools →

The companyeach fact with its source · read 2026-09-18
  • Founded2015per Wikidata
Questions this page answers
  • What is SurrealDB?

    Stores documents, graphs, vectors, and relational data in one engine with built-in agent memory layer.

  • Do people use SurrealDB?

    Established: ≈ 3.5k visits a month · estimate, 2026-09.

  • Is SurrealDB still maintained?

    Actively maintained.

  • What are alternatives to SurrealDB?

    In Developer tools, by use: YantrikDB, zinfradb, V0 Dev, JetBrains, NVIDIA, WhatsApp.com.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.