Ontotext Graph DB Alternatives & Competitors

Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

Key neo4j features:

Graph DB

Open Source

Graph databases as-a-service.

Key GrapheneDB features:

Scalability Graph Database Expertise Managed Hosting Ease of Use

A simple way to keep all your data under control. Build your own business applications in just 4 minutes.

Key Tabidoo features:

User-Friendly Interface Customizable Data Management Collaboration

Try for free freemium €60.0 / Monthly (Small 10 apps, 25 tables, 25 000 records)

OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.

Key OrientDB features:

Graph DB

Open Source

AllegroGraph is a high-performance, persistent graph database.

Key AllegroGraph features:

Scalability Standards Compliance Performance Geospatial and Temporal Reasoning

JanusGraph is a scalable graph database optimized for storing and querying graphs.

Key JanusGraph features:

Scalability Compatibility APIs and Queries Open Source

Open Source

Blazegraph is a scalable, high-performance graph database with support for the Blueprints and RDF/SPARQL APIs.

Key Blazegraph features:

Scalability SPARQL Support Performance Embedded and Standalone Modes

Graph Engine (GE) is a distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed com.

Key Graph Engine features:

High Performance Scalability Flexible Data Model Integration Capabilities

Open Source

Self-hosted Firebase.

Key GUN features:

Decentralized Real-time synchronization Offline-first Scalability

Open Source

grapholytic by MIOsoft produces results from the combination of a Graph DB and a scalable object database architecture.

Key Grapholytic features:

Comprehensive Graph Analytics User-Friendly Interface Scalability Integration Capabilities

Apache TinkerPop is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP).

Key Apache TinkerPop features:

Graph Abstraction Gremlin Query Language Vendor Neutrality Rich Ecosystem

HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs.

Key HyperGraphDB features:

Flexible Data Model Open-Source Embeddable Inference Support

Open-source graph database.

Key Cayley features:

Open Source Graph Database Supports Multiple Storage Backends Rich Query Language

Open Source

FlockDB is a distributed graph database for storing adjancency lists, with goals of supporting high rate of add/update/remove operations.

Key Flockdb features:

Scalability Simple Data Model High Performance on Simple Queries Horizontal Partitioning