Best Graph Database Solutions - Page 3
Graph databases use topographical data models to store data. These databases connect specific data points (nodes) and create relationships (edges) in the form of graphs that can then be pulled by the user with queries. Nodes can represent customers, companies, or any data a company chooses to record. Edges are formed by the database so that relationships between nodes are easily understood by the user. Businesses can utilize graph databases when they are pulling data and do not want to spend time organizing it into distinct relationships. Large enterprises may use complex queries to pull precise and in-depth information regarding their customer and user information or product tracking data, among other uses. Database administrators can scale high data values and still create usable models. Some businesses may choose to run an RDF database, a type of graph database that focuses on retrieving triples, or information organized in a subject-predicate-object relationship. Similar types of databases include document database tools, key-value store tools, object-orientated database tools and more. Developers who are looking for an affordable solution can look to free database software.
To qualify for inclusion in the Graph Database category, a product must:
Best Graph Databases At A Glance
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ArchiGraph is an ontology-based data management and data virtualization platform. It includes a collaborative ontology editor, a SHACL constraints and rules construction tool, and a middleware layer p
BaseQL provides a dynamic GraphQL API for Airtable bases and Google Sheets. BaseQL is built for speed of development without the hassle of a managed database or complicated REST endpoints. It enable
GraphDB is an enterprise-ready Semantic Graph database (also known as an RDF triplestore) designed to power knowledge graphs, complex data integrations, semantic search, and AI applications. Built on
GUN is a realtime, distributed, offline-first, graph database engine. Lightweight and powerful, at just ~9KB gzipped.
8,878 Twitter followers
HyperGraphDB is a general purpose, open-source data storage mechanism based on a powerful knowledge management formalism known as directed hypergraphs. While a persistent memory model designed mostly
21 Twitter followers
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 im
1,551 Twitter followers
A truly distributed, linear scalable, lightning-fast graph database.
RecallGraph is a versioned-graph data store - it retains all changes that its data (vertices and edges) have gone through to reach their current state. It supports point-in-time graph traversals, lett
Relay is a JavaScript framework designed for building data-driven React applications using GraphQL. It enables developers to declaratively specify data requirements for each component, allowing Relay
Rocketgraph xGT uncovers hard-to-find patterns faster and performs analyses that used to take days to run or would stop before producing results. With Rocketgraph and its AI-powered Mission Control us
483 Twitter followers
Discover one of the fastest, most scalable, distributed graph databases purpose-built for high-performance analytical insights across the enterprise. Solving your complex connected data problems at re
Apache AGE® is a PostgreSQL extension that provides graph database functionality. The goal of Apache AGE® is to provide graph data processing and analytics capability to all relational databases. Th
754 Twitter followers
ApertureDB is a vector + graph database purpose-built to streamline the development and scaling of multimodal AI and analytics applications. Designed for modern AI and analytics workflows, it combines
Blazegraph is a scalable, high-performance graph database with support for the Blueprints and RDF/SPARQL APIs. Blazegraph is available in a range of versions that provide solutions to the challenge of
700 Twitter followers
Graph Engine (GE) is a distributed, in-memory, large graph processing engine, underpinned by a strongly-typed RAM store and a general computation engine. The distributed RAM store provides a globally
13,090,136 Twitter followers
