database EvolutionDB
code
v3.0 · Open Source

How EvolutionDB Compares

A SQL-compatible, agent-native memory layer that folds relational data, documents, and vectors into a single open-source binary. Here is how its architecture lines up against the tools teams reach for today — compared on capabilities, not marketing numbers.

database
VS POSTGRES + PGVECTOR IN-ENGINE VS EXTENSION

Memory Built Into the Engine

EvolutionDB speaks the PostgreSQL wire protocol, so psql, DBeaver, and pgAdmin connect out of the box. The difference is in the DNA: agent-memory and vector primitives are first-class storage-engine features at the DDL level, not capabilities you add through an extension.

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First-class SQL primitives

MEMORY STORE, ENTITY STORE, and VECTOR(N) are built-in types, not bolt-ons.

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No extensions to install

HNSW vector indexing ships in the core — no CREATE EXTENSION step, no version-compatibility juggling.

CODE COMPARISON

// Postgres + pgvector

CREATE EXTENSION vector;
SELECT * FROM items ORDER BY embedding <-> '[1,2,3]' LIMIT 5;

// EvolutionDB

CREATE MEMORY STORE agent_brain;
SELECT * FROM agent_brain WHERE vector_search('[1,2,3]');
cloud SELF-HOSTED VS MANAGED

MongoDB Atlas Vector Search

Atlas Vector Search is a managed cloud service layered on a document store. EvolutionDB is a single binary you run yourself — including a zero-Docker embedded mode — with relational SQL, documents, and vectors in one engine.

  • verified SQL relational engine with MVCC transactions
  • verified Runs on-premise or air-gapped, no managed cloud required
  • verified Open source under the MIT license
alt_route ONE ENGINE VS SIDECAR

Pinecone / Weaviate

Dedicated vector databases store embeddings as a separate service alongside your primary database. EvolutionDB keeps vectors and relational data in the same engine, so a single query can filter rows and run semantic search without a second system to sync.

check_circle Native VECTOR(N) type with HNSW indexing in core
check_circle Hybrid semantic + lexical search in one query
check_circle No separate vector service to deploy or sync

Zep / Mem0

Memory frameworks like Zep and Mem0 add an agent-memory layer on top of an existing database or vector store. EvolutionDB makes memory, temporal history, and vectors native to the storage engine itself — no extra backing store to operate.

history

TEMPORAL AS OF

hub

ENTITY STORE

smart_toy

MCP SERVER

security

TDE + GRANTS

Feature Comparison Matrix

Capability EvolutionDB Postgres + pgvector Pinecone
PostgreSQL wire compatibility done_all Native PG wire Native No (REST/gRPC API)
Vector search done_all Native HNSW Via extension Yes (vector-only)
Agent memory primitives done_all MEMORY / ENTITY STORE Application layer Application layer
Temporal / time-travel queries done_all MVCC AS OF No (built-in) No
MCP-native for agents done_all Ships MCP server No No
Self-hosted single binary done_all Embedded mode Yes No (managed cloud)

See it for yourself

EvolutionDB is open source under the MIT license. Clone the repository, read the docs, and run it in embedded mode with zero Docker.