hydradbObject-store-native distributed graph DB in Rust: graph on SlateDB over S3, snapshot-consistent OpenCypher, GraphBLAS traversal, Neo4j Bolt 5.x compatibility, disaggregated data nodes and indexers.
Why switchBoth are lakehouse/object-store graph databases aimed at agent context; omnigraph fuses graph+vector+full-text in one runtime, hydradb is a pure Cypher/GraphBLAS graph with Neo4j wire compatibility.
Full comparison → ChromaOpen-source embedding database for building AI apps with retrieval.
Why switchSame slot in the stack — the store your AI app's retrieval hits — opposite ends of the spectrum: Chroma is a lightweight embedding DB you outgrow; omnigraph fuses graph traversal, ANN and full-text with versioned branching, at the cost of running a declared-as-code server.
Full comparison → agent-memoryNeo4j Labs' graph-native agent memory: conversations, a POLE+O entity knowledge graph and reasoning traces in one store, with a 16-tool MCP server and hosted or self-hosted backends.
Why switchBoth sell graph-native agent context. OmniGraph is a lakehouse engine with branchable Lance storage for agent fleets; Neo4j Agent Memory is an opinionated short-term/long-term/reasoning memory API on a database most teams already know.
Full comparison → helix-dbRust OLTP graph database on object storage with native vector and BM25 search: property graph, traversal-prefiltered ANN and full-text in one transactional engine; Rust, TS, Go, Python SDKs.
Why switchBoth fuse graph, vector and full-text retrieval over object storage for agent context; omnigraph adds Git-style branch-and-merge on Lance, HelixDB focuses on transactional OLTP writes.
Full comparison → metronix-memorySelf-hosted agent memory stack in Docker: Postgres + Qdrant + Neo4j hybrid retrieval, a temporal knowledge graph, ontology layer and freshness checks behind one MCP-native API.
Why switchBoth fuse graph, vector and full-text retrieval into one agent-context runtime. OmniGraph is a lakehouse database with Git-style branch/merge for agent fleets; Metronix is a batteries-included memory service you point an agent at.
Full comparison → ontobricksTurns Databricks Unity Catalog tables into a materialized knowledge graph: OWL ontology design, R2RML mapping, OWL 2 RL/SWRL/SHACL reasoning, auto-generated GraphQL — exposed to agents over MCP.
Why switchBoth bet on lakehouse-native graph context for agents. OntoBricks adds OWL reasoning but locks you to Databricks; omnigraph runs standalone on Lance/S3 with vector + full-text fused in.
Full comparison → pgGraphPostgreSQL extension adding graph search, traversal and shortest-path over your existing tables — a derived graph index queried from plain SQL, no separate graph DB or query language. Rust.
Why switchGraph context for agents, opposite deployment bets: omnigraph is a standalone lakehouse runtime on Lance/S3; pgGraph lives inside the Postgres you already run.
Full comparison → semanticaGraph-native context infrastructure for accountable AI: ingest enterprise data, extract a knowledge/context graph (RDF + LPG), run graph analytics and causal reasoning with decision provenance.
Why switchGraph context for agents: omnigraph is a storage-first lakehouse runtime; Semantica is a reasoning-first platform where provenance and causality are the product.
Full comparison →