Companies in the category 'Graph Database'

ArcadeDB is an open-source, Apache 2.0 licensed multi-model database developed by Arcade Data Ltd. It natively stores graphs, documents, key-value pairs, full-text, time-series, and vector data in a single engine. ArcadeDB supports multiple query languages including SQL, OpenCypher, Gremlin, GraphQL, and the MongoDB query protocol, delivering over 10 million records per second with full ACID compliance. Created by Luca Garulli, the founder of OrientDB, ArcadeDB was built from scratch after SAP's acquisition of OrientDB, with a brand-new transactional engine that is faster and lighter than its predecessor.

Vesoft is the company behind NebulaGraph, an open-source distributed graph database built for horizontal scalability, high availability, and millisecond-latency queries on graphs with hundreds of billions of nodes and trillions of edges. The company offers NebulaGraph in open-source, enterprise, and cloud-managed forms, serving use cases such as fraud detection, recommendation engines, knowledge graphs, and supply chain management.

FalkorDB is an ultra-fast, multi-tenant graph database built for generative AI applications, including GraphRAG, agentic AI, and fraud detection. It is the first queryable property graph database to use sparse matrices for adjacency matrix representation and linear algebra for graph queries, enabling exceptionally low latency and high scalability for knowledge graph workloads.

TerminusDB is a model-based, in-memory, and distributed graph database that provides semantic document graph infrastructure. It features a git-for-data collaboration model for building knowledge graphs and semantic content infrastructures.

Memgraph is a high-performance, in-memory graph database that helps organizations build real-time applications and analyze complex, connected data. It is designed for speed and scalability, enabling efficient processing of large datasets and supporting dynamic analytics environments.

HelixDB is an open-source graph-vector database built in Rust that enables developers to store, retrieve, and reason over contextual data for AI applications in a single unified system. It combines graph and vector data models with a type-safe query language called HelixQL, providing built-in support for vector search, graph traversals, and MCP-based agent discovery for RAG and AI agent applications.

Gel is the world's first graph-relational database, combining the maintainability of a strict schema with the ability to easily link objects. It uses EdgeQL as its query language, designed for ease of use.

ArangoDB is a multi-model database that unifies graph, document, and full-text search capabilities. It empowers businesses to transform complex data into actionable insights, offering a flexible and scalable solution for modern applications.