Cost / License
- Free
- Open Source (AGPL-3.0)
Platforms
- Self-Hosted

HelixDB is described as 'Database that makes it easy to build all the components needed for AI applications in a single platform' and is an app in the development category. There are more than 10 alternatives to HelixDB for a variety of platforms, including Linux, Mac, Windows, Self-Hosted and SaaS apps. The best HelixDB alternative is Lantern Database, which is both free and Open Source. Other great apps like HelixDB are ArcadeDB, neo4j, ArangoDB and FalkorDB.

One DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Model DBMS. ArcadeDB supports Vector Embeddings.




You can think of Neo4j as a high-performance graph engine with all the features of a mature and robust database.




ArangoDB database is an open-source NoSQL solution with a flexible data model for documents, graphs, and key-values.



A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).

LanceDB is an open-source database for vector-search built with persistent storage, which greatly simplifies retrieval, filtering and management of embeddings.

Grafeo is a pure-Rust, high-performance graph database that can be embedded as a library or run as a standalone database, with optional in-memory or persistent storage. Grafeo supports both LPG and RDF and all major query languages.

Zvec is an open-source, in-process vector database — lightweight, lightning-fast, and designed to embed directly into applications. Built on Proxima (Alibaba's battle-tested vector search engine), it delivers production-grade, low-latency, scalable similarity search with...


Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets.

Fully-managed vector database providing lightning-fast, relevant search with developer-focused APIs, effortless scalability, metadata filters, transparent usage-based pricing, multi-cloud support, easy integration, unstructured data handling, and no need for infrastructure upkeep.


Qdrant (read: quadrant) is a vector similarity search engine and vector database. It provides a production-ready service with a convenient API to store, search, and manage points—vectors with an additional payload Qdrant is tailored to extended filtering support.