1. [Home](https://www.g2.com/)
2. ...
3. [Emerging AI Software](https://www.g2.com/categories/emerging-ai-software)
4. [HelixDB Discussions](https://www.g2.com/products/helixdb/discuss)

[
 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_bc3413008539d9305cacb5a2ed69f464/helixdb.png "Product Avatar Image")
](/products/helixdb/reviews)

[

HelixDB

](/products/helixdb/reviews)

0 ratings

HelixDB is an open-source, Rust-based graph-vector database designed to unify vector similarity search and graph traversal within a single, type-safe engine. By integrating both vector and graph operations, HelixDB eliminates the need for multiple databases, thereby reducing architectural complexity and operational costs by up to 50%. It delivers high performance, with vector searches averaging approximately 2 milliseconds and graph traversals under 1 millisecond. HelixDB offers robust developer tooling, including a command-line interface (CLI), software development kits (SDKs) for various programming languages, and a managed cloud service with enterprise-grade security and 24/7 support. Backed by Y Combinator and NVIDIA, HelixDB is rapidly expanding its developer community with active support channels and comprehensive documentation. Key Features and Functionality: - Unified Graph and Vector Operations: Combines vector similarity search and graph traversal in a single database, eliminating the need for separate systems. - High Performance: Optimized storage engine delivers vector searches in approximately 2 milliseconds and graph traversals under 1 millisecond. - Type Safety: Explicit type definitions ensure data integrity and reduce runtime errors. - Developer-Friendly Tools: Provides a CLI, SDKs for multiple programming languages, and a managed cloud service for seamless integration. - Security: Offers options for encryption at rest to protect sensitive data. Primary Value and Problem Solved: HelixDB addresses the challenges of managing complex, interconnected data by unifying graph and vector operations within a single, high-performance database. This integration simplifies architecture, reduces operational costs, and enhances the efficiency of AI agents and Retrieval-Augmented Generation (RAG) systems. By providing a type-safe environment with robust developer tools, HelixDB enables developers to build scalable and secure applications that require advanced contextual retrieval and analysis.

Show More

When users leave HelixDB reviews, G2 also collects common questions about the day-to-day use of HelixDB. These questions are then answered by our community of 850k professionals. Submit your question below and join in on the G2 Discussion.

* * *

### 0.0

Nps Score

### All HelixDB Discussions

Search

Most CommentedMost HelpfulPinned by G2Newest

All DiscussionsDiscussions with CommentsPinned by G2Discussions without Comments

FilterFilter

Filter byExpand/Collapse 

Sort by

Most Commented

Most Helpful

Pinned by G2

Newest

Filter by

All Discussions

Discussions with Comments

Pinned by G2

Discussions without Comments

Sorry...

There are no questions about HelixDB yet.

## Start a New Software Discussion

Have a software question?

Get answers from real users and experts

[Start A Discussion](/products/helixdb/discussions/new)

* * *

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_bc3413008539d9305cacb5a2ed69f464/helixdb.png "Product Avatar Image")

### Have you used HelixDB before?

Answer a few questions to help the HelixDB community

[
Yes
](javascript:void(0))[
Yes
](https://www.g2.com/authorize?form=signup&return_to=https%3A%2F%2Fwww.g2.com%2Fproducts%2Fhelixdb%2Fdiscuss%3Fsmall_ask%3Dhelixdb)
No