01 |DATA MANAGEMENT
Pipelines and workflows. SurrealDB as a destination for the tools that move and orchestrate data.
02 |DEPLOYMENT
Wherever you run. Managed on SurrealDB Cloud, or self-hosted in a container, a cluster or a public cloud.
SurrealDB Cloud
Managed SurrealDB with automatic scaling, backups and enterprise reliability.
Docker
Official images for containerised deployment and scaling.
Kubernetes
Operators and manifests for production deployment and orchestration.
Amazon Web Services
SurrealDB in AWS, integrated with the rest of the AWS ecosystem.
Google Cloud Platform
Terraform modules and Cloud Run deployment.
Microsoft Azure
ARM templates and Azure Container Instances.
03 |EMBEDDINGS
Embedding providers. Vectors from the model you choose, stored and searched in SurrealDB.
AWS Bedrock
AWS Titan embeddings for semantic search.
Google Gemini
Embeddings from Gemini models for semantic search.
Hugging Face
Transformers for custom models and ML workflows.
Mistral
Mistral models for language processing and database interaction.
Ollama
Local embeddings and specialised models with SurrealDB vector search.
OpenAI
OpenAI text embeddings for semantic search.
Together AI
Open-source models for collaborative ML workflows.
04 |FRAMEWORKS
Agent and web frameworks. SurrealDB as memory, vector store and knowledge base for the frameworks your agents and sites run on.
Agno
Multi-agent systems with SurrealDB as the memory and retrieval layer.
Astro
Fast static sites with SurrealDB as the content store.
CAMEL
Autonomous agents with SurrealDB as a knowledge base.
CrewAI
Autonomous agents running data operations on SurrealDB.
Google Agent
AI-powered automation and data processing workflows.
LangChain
AI applications with SurrealDB as vector store and knowledge base.
LlamaIndex
RAG pipelines with SurrealDB as the vector store.
Netlify
JAMstack applications on a SurrealDB backend with serverless functions.
SmolAgents
Lightweight agents with SurrealDB as a knowledge base.
Vercel
Serverless deployment with edge functions.
THE PLATFORM
Everything an application and its agents know. Five surfaces, one engine.
Database
Document, graph, vector, time-series and relational in one engine.
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Agent Memory
What an agent learns, with its source and its time, in the same engine.
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Cloud
Managed clusters in the regions you choose, scaled on demand.
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Studio
Query, explore and design the schema from the browser.
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MCP
Every model that speaks MCP reaches the database and the memory directly.
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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.
Justin Foley
VP of Engineering, Later
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