Best Graph Database Solutions - Page 3

How Many Graph Databases Products Does G2 Track?

Total Products under this Category: 71

Category Stats (Oct 2026)

  • Average Rating: 4.49/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Redis Software (+0.07%) - Among all products in this category, Redis Software recorded the largest rating increase compared to last month

Last updated: October 24, 2026

How Does G2 Rank Graph Databases Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 1,000+ Authentic Reviews
  • 71+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Graph Databases

G2 Grid® for Graph Databases plotting products by satisfaction and market presence

Highlighted products: Arango, Amazon Neptune, Elastic Stack, Neo4j Graph Database, GraphJSON, OrientDB, Stardog, and FlockDB.

Underlying data: [Grid® JSON](https://www.g2.com/categories/graph-databases/grids.json?focus%5B%5D=arango&focus%5B%5D=amazon-neptune&focus%5B%5D=elastic-stack&focus%5B%5D=neo4j-graph-database&focus%5B%5D=graphjson&focus%5B%5D=orientdb&focus%5B%5D=stardog&focus%5B%5D=flockdb)

ArchiGraph platform

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 providing API access to the ontology-aligned data from various storages, and a set of supplementary utilities.

Average Rating: 4.5/5.0

Total Reviews: 2

How Do G2 Users Rate ArchiGraph platform?

  • Data Model: 10.0/10 (Category avg: 8.8/10)
  • Data Types: 8.3/10 (Category avg: 8.8/10)
  • Built - In Search: 6.7/10 (Category avg: 8.4/10)

Who Is the Company Behind ArchiGraph platform?

Who Uses This Product?

  • Company Size: 67% Large, 33% Small

What Are Recent G2 Reviews of ArchiGraph platform?

What Are G2 Users Discussing About ArchiGraph platform?

BaseQL

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 enables engineers and low/no coders everywhere to quickly and simply build custom applications using user-friendly data tools.

Average Rating: 4.8/5.0

Total Reviews: 2

How Do G2 Users Rate BaseQL?

  • Data Model: 8.3/10 (Category avg: 8.8/10)
  • Data Types: 8.3/10 (Category avg: 8.8/10)
  • Built - In Search: 6.7/10 (Category avg: 8.4/10)

Who Is the Company Behind BaseQL?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of BaseQL?

Graphwise GraphDB

Graphwise GraphDB is an enterprise-ready Semantic Graph database and a key component of the Graphwise Graph AI suite. Designed for knowledge graphs, complex data integration, and AI applications, it supports W3C standards and provides secure, high-performance querying. It integrates into AI-agentic workflows to improve LLM accuracy, enabling information to be easily identified, disambiguated, and interconnected. Graphwise GraphDB addresses business problems involving highly interconnected data that challenges relational databases. It helps organizations uncover patterns using inference and fast full-text/faceted searches via synchronized services like Elasticsearch and OpenSearch. GraphDB guarantees high availability and no data loss through cluster and multi-cluster deployments. This architecture allows enterprises to move from fragmented data to a unified, AI-ready graph environment.

Average Rating: 4.2/5.0

Total Reviews: 6

How Do G2 Users Rate Graphwise GraphDB?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.9/10)

Who Is the Company Behind Graphwise GraphDB?

  • Seller: Graphwise
  • Year Founded: 2024
  • HQ Location: New York, US
  • LinkedIn® Page: linkedin.com
    220 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Large, 33% Medium

What Are Recent G2 Reviews of Graphwise GraphDB?

AI can help you find the answers. G2 helps you trust them.

Connect G2 to Claude or ChatGPT for answers grounded in G2's trusted reviews, comparisons, and pricing from real user insights.

How it works
Connect G2 to ChatGPTConnect G2 to Claude

Gun

GUN is a realtime, distributed, offline-first, graph database engine. Lightweight and powerful, at just ~9KB gzipped.

Average Rating: 3.8/5.0

Total Reviews: 2

Who Is the Company Behind Gun?

  • Seller: Gun.io
  • Year Founded: 2013
  • HQ Location: Nashville, TN
  • Twitter: @GUNdotIO
    8,853 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    106 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Gun?

What Are G2 Users Discussing About Gun?

HyperGraphDB

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 for knowledge management, AI and semantic web projects, it can also be used as an embedded object-oriented database for Java projects of all sizes. Or a graph database. Or a (non-SQL) relational database.

Average Rating: 4.0/5.0

Total Reviews: 2

Who Is the Company Behind HyperGraphDB?

  • Seller: HyperGraphDB
  • HQ Location: Montreal, Canada
  • Twitter: @hypergraphdb
    21 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Large, 50% Small

What Are Recent G2 Reviews of HyperGraphDB?

What Are G2 Users Discussing About HyperGraphDB?

Memgraph

Memgraph is a high-performance, in-memory graph database that powers real-time AI context and graph analytics at scale. Vector search finds what's similar. Graph reasoning finds what's connected — following relationships, dependencies, and hierarchies that similarity alone can't capture. Modern AI systems need both, and Memgraph is the graph layer - surfacing precise structural context with full audit trails in sub-millisecond time. It serves as the graph engine for GraphRAG pipelines, AI memory systems, and agentic workflows — a single high-performance layer for any system that needs structured, connected context. The same in-memory architecture drives real-time graph analytics for fraud detection, network analysis, infrastructure monitoring, and other operational workloads where milliseconds matter. NASA uses Memgraph to connect people, skills, and projects across the agency into a queryable knowledge graph that powers real-time expert discovery and workforce planning. Cedars-Sinai uses it to link genes, drugs, and clinical pathways in an Alzheimer's knowledge graph spanning over 230,000 entities that drives drug repurposing research and multi-hop biomedical reasoning. Organizations across cybersecurity, finance, retail, and other knowledge-intensive domains rely on Memgraph for the same reason: sub-millisecond graph traversals for the structured context and real-time insight that modern systems demand.

Average Rating: 5.0/5.0

Total Reviews: 2

Who Is the Company Behind Memgraph?

  • Seller: Memgraph Ltd.
  • Year Founded: 2016
  • HQ Location: London, GB
  • Twitter: @memgraphdb
    1,560 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    101 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Memgraph?

NebulaGraph

A truly distributed, linear scalable, lightning-fast graph database.

Average Rating: 5.0/5.0

Total Reviews: 2

How Do G2 Users Rate NebulaGraph?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.9/10)
  • Data Model: 10.0/10 (Category avg: 8.8/10)
  • Data Types: 10.0/10 (Category avg: 8.8/10)
  • Built - In Search: 10.0/10 (Category avg: 8.4/10)

Who Is the Company Behind NebulaGraph?

  • Seller: VeSOFT
  • Year Founded: 2018
  • HQ Location: Cupertino, US
  • LinkedIn® Page: www.linkedin.com
    119 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Large, 50% Medium

What Are Recent G2 Reviews of NebulaGraph?

RecallGraph

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, letting the user query any past state of the graph just as easily as the present. It is a Foxx Microservice for ArangoDB that features VCS-like semantics in many parts of its interface, and is backed by a transactional event tracker. It is currently being developed and tested on ArangoDB v3.5 and v3.6, with support for v3.7 in the pipeline.

Average Rating: 4.5/5.0

Total Reviews: 2

How Do G2 Users Rate RecallGraph?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.9/10)
  • Data Model: 7.5/10 (Category avg: 8.8/10)
  • Data Types: 7.5/10 (Category avg: 8.8/10)
  • Built - In Search: 7.5/10 (Category avg: 8.4/10)

Who Is the Company Behind RecallGraph?

Who Uses This Product?

  • Company Size: 50% Large, 50% Medium

What Are Recent G2 Reviews of RecallGraph?

Relay

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 to efficiently manage data fetching and ensure that components receive the necessary data without manual intervention. This approach promotes modularity, reusability, and scalability in application development. Key Features and Functionality: - Declarative Data Fetching: Components declare their data needs using GraphQL, and Relay handles the fetching process, ensuring that each component receives the required data. - Colocation of Queries and Components: GraphQL queries are defined alongside the components that use them, making the codebase more maintainable and easier to understand. - Efficient Data Management: Relay's compiler optimizes data requirements across the application, aggregating them into efficient network requests and maintaining a normalized data store for consistent state management. - Automatic UI Updates: Relay ensures that components are updated only when necessary, preventing unnecessary re-renders and maintaining UI consistency. - Support for Mutations and Subscriptions: Relay provides mechanisms for executing GraphQL mutations with optimistic updates and handling real-time data through subscriptions, facilitating dynamic and interactive user experiences. Primary Value and Problem Solved: Relay addresses the complexities of managing data in large-scale React applications by providing a structured and efficient approach to data fetching and state management. By declaratively defining data dependencies and leveraging GraphQL, Relay simplifies the process of ensuring that components have access to the data they need, reduces boilerplate code, and enhances application performance. This results in more maintainable codebases and a better developer experience, especially as applications grow in size and complexity.

Average Rating: 4.8/5.0

Total Reviews: 2

How Do G2 Users Rate Relay?

  • Data Model: 7.5/10 (Category avg: 8.8/10)
  • Data Types: 8.3/10 (Category avg: 8.8/10)
  • Built - In Search: 7.5/10 (Category avg: 8.4/10)

Who Is the Company Behind Relay?

Who Uses This Product?

  • Company Size: 50% Medium, 50% Small

What Are Recent G2 Reviews of Relay?

Rocketgraph | Graph Analytics Platform Powered by GenAI

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 user interface, you can do iterative analysis on the biggest, most complicated datasets on the planet and get answers hundreds of times faster than with other graph analytics tools. Rocketgraph can be used on-premise or in the cloud, with Aurora - our fully-managed cloud offering.

Average Rating: 4.8/5.0

Total Reviews: 3

How Do G2 Users Rate Rocketgraph | Graph Analytics Platform Powered by GenAI?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.9/10)
  • Data Model: 10.0/10 (Category avg: 8.8/10)
  • Data Types: 10.0/10 (Category avg: 8.8/10)
  • Built - In Search: 10.0/10 (Category avg: 8.4/10)

Who Is the Company Behind Rocketgraph | Graph Analytics Platform Powered by GenAI?

  • Seller: Rocketgraph
  • Year Founded: 2014
  • HQ Location: Seattle, US
  • Twitter: @Rocketgraph_ai
    480 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    10 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Large, 33% Small

What Are Recent G2 Reviews of Rocketgraph | Graph Analytics Platform Powered by GenAI?

AnzoGraph

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 record speed is our business. Use cases include enabling buyer intent analysis, key opinion leader analysis, recommendation engines, machine learning and AI, and even data integration and creation of knowledge graphs. Gain key insights using native graph algorithms, data warehouse-style analytics, data virtualization across the enterprise, location analytics with geospatial, and many other data science and feature engineering capabilities. At its heart, AnzoGraph DB is an analytical graph database, based on RDF* and SPARQL*, the new upcoming W3C standard that supports both semantic graphs and properties.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate AnzoGraph?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.9/10)

Who Is the Company Behind AnzoGraph?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of AnzoGraph?

What Are G2 Users Discussing About AnzoGraph?

Apache AGE

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. Through Apache AGE, PostgreSQL users will gain access to graph query modeling within the existing relational database. Users can read and write graph data in nodes and edges. They can also use various algorithms such as variable length and edge traversal when analyzing data.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate Apache AGE?

  • Data Model: 8.3/10 (Category avg: 8.8/10)
  • Data Types: 8.3/10 (Category avg: 8.8/10)
  • Built - In Search: 6.7/10 (Category avg: 8.4/10)

Who Is the Company Behind Apache AGE?

Who Uses This Product?

  • Company Size: 100% Medium

What Are Recent G2 Reviews of Apache AGE?

ApertureDB

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 multimodal data management, vector search capabilities and knowledge graph into a single integrated solution. With ApertureDB developers and organizations get 2-10X faster vector search performance than the competition, save 6 to 9 months on average in infrastructure setup time and improve machine learning teams productivity by 10X. It powers use cases like semantic search, RAG chatbots, Generative AI applications and AI-driven agents. ApertureDB seamlessly integrates across your AI stack including popular large scale Language Models (LLMS), AI and machine learning frameworks and workflows. Its robust multi-tenant architecture, designed to handle complex multimodal data text, images, videos, embeddings, metadata and easily scales for large-scale deployments while maintaining enterprise-grade performance and reliability. ApertureDB offers flexible deployment options and optimized pricing performance. Available in the cloud, on-premises or hybrid, ApertureDB meets the needs of diverse organizations, from startups to large enterprises. Our optimized pricing empowers teams to choose a deployment model that aligns with their budget and can scale effortlessly without breaking the bank.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate ApertureDB?

  • Data Model: 10.0/10 (Category avg: 8.8/10)
  • Data Types: 10.0/10 (Category avg: 8.8/10)
  • Built - In Search: 10.0/10 (Category avg: 8.4/10)

Who Is the Company Behind ApertureDB?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of ApertureDB?

Blazegraph

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 scaling graphs. Blazegraph solutions range from millions to trillions of edges in the graph.

Average Rating: 5.0/5.0

Total Reviews: 1

How Do G2 Users Rate Blazegraph?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.9/10)

Who Is the Company Behind Blazegraph?

  • Seller: Blazegraph
  • Year Founded: 2006
  • HQ Location: Greensboro, US
  • Twitter: @BlazeGraph
    695 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of Blazegraph?

What Are G2 Users Discussing About Blazegraph?

Graph Engine

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 addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access power over a large distributed data set.

Average Rating: 4.5/5.0

Total Reviews: 1

How Do G2 Users Rate Graph Engine?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.9/10)
  • Data Model: 8.3/10 (Category avg: 8.8/10)
  • Data Types: 10.0/10 (Category avg: 8.8/10)
  • Built - In Search: 6.7/10 (Category avg: 8.4/10)

Who Is the Company Behind Graph Engine?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • Twitter: @microsoft
    13,091,739 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®
  • Ownership: MSFT

Who Uses This Product?

  • Company Size: 100% Large

What Are Recent G2 Reviews of Graph Engine?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated October 8, 2024