IN DEVELOPMENT
In development. Being designed, built or tested by the team now.
Additional Agent Memory connectors
2026 Q4GitHub, Notion, Google Drive, Slack, Confluence, Linear, Databricks, and Snowflake context sources.
Agent Memory general availability
2026 Q4Self-serve Sandbox, Lite, Standard and Plus tiers with launch benchmarks published in the open.
Postgres wire compatibility
2026 H2Connect to SurrealDB using any PostgreSQL-compatible client.
Parallelised import/export
2026 H2For faster, more scalable data migrations.
Analytics integration
2026 H2Integrations with Snowflake, Databricks and Apache Spark.
Distributed live queries
2026 H2The ability to run live queries in a distributed multi-node environment.
Versioned temporal tables
2026 H2Point-in-time reads with VERSION on a versioned storage engine, experimental today, on the way to general availability.
PLANNED
Planned. Queued for upcoming releases.
Postgres and Supabase connectors
Assemble agent memory directly from existing operational databases.
Incremental backups
2026 H2Export incremental binary backups for efficient and reliable backing up of SurrealDB clusters.
AVAILABLE
Available. Shipped, and in the product today.
Agent Memory early access
Entity extraction, knowledge graph and hybrid retrieval, built on SurrealDB. Join the waitlist.
SurrealDB Cloud - Scale (GA)
Fault tolerant and scalable cloud tier for running workloads in production.
SurrealDB Cloud region - São Paulo
New SurrealDB Cloud region in South America (São Paulo).
DiskANN
Disk-based approximate nearest neighbour index.
Improved observability
Deeper visibility into queries, performance, and system health.
Schema migration
Safely evolve your data models over time. Apply, track, and roll back schema changes.
Java SDK (stable)
The SurrealDB SDK for Java lets you connect to SurrealDB from any Java application.
HNSW vector search
Native vector search with HNSW indexing for building AI-powered applications and semantic similarity queries.
Full-text indexing
Built-in full-text search with scoring and filtering, no external search engine required.
GraphQL
Query SurrealDB using GraphQL with automatic schema generation from your database definitions.
HTTP API endpoint definitions
Define custom REST API endpoints directly in SurrealQL, turning your database into a complete backend.
File storage
Store and retrieve files directly within SurrealDB alongside your structured data.
Database plugin system
Extend SurrealDB with custom functions and capabilities through a native plugin system.
Asynchronous events
Trigger background tasks and workflows in response to data changes with asynchronous event handlers.
AWS Marketplace
Deploy, manage and pay for SurrealDB directly through AWS Marketplace.
TypeScript ORM
Native TypeScript ORM with full type inference, a fluent query builder, and native support for graph relationships.
SurrealDB Cloud region (us-east-2)
Support for the new SurrealDB Cloud region us-east-2 (Ohio).
THE PLATFORM
Everything an application and its agents know. Five surfaces, one engine.
Database
Document, graph, vector, time-series and relational in one engine.
Agent Memory
What an agent learns, with its source and its time, in the same engine.
Cloud
Managed clusters in the regions you choose, scaled on demand.
Studio
Query, explore and design the schema from the browser.
MCP
Every model that speaks MCP reaches the database and the memory directly.
IN PRODUCTION
Trusted at scale. Samsung, Nvidia, Verizon, Tencent, and Walmart run on SurrealDB.
14,000+
Developers building on SurrealDB Cloud
4M+
Developers building on SurrealDB worldwide
FROM THE TEAMS
SurrealDB gives us a foundation where we can unify semantic search, knowledge graphs, and AI-driven decision making without stitching together multiple systems. Collapsing responsibility into SurrealDB has become our default engineering posture.
VP of Engineering, Later
GET STARTED
Start building with SurrealDB. One data layer for AI, from object storage to agent memory.
