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

Apps similar to HelixDB include Lantern Database, which is free and open source. Other options are neo4j, ArcadeDB, ArangoDB and LanceDB. You can choose from more than 10 Vector Databases like HelixDB for Linux, self-hosting, Mac, Windows and the web.

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




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.




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



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

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).

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.

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...


Memgraph is an open source graph database built for real-time streaming and compatible with Neo4j. Whether you're a developer or a data scientist with interconnected data, Memgraph will get you the immediate actionable insights fast.

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.

