Best Graph Database Solutions - Page 2

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)

IBM Graph

IBM Graph is a fully managed property graph-as-a-service that enables you to store, query and visualize data points, connections and properties. Highly available Provides service that is always up and ensures your data is always accessible, so your web and mobile apps are constantly working for your business. Managed 24/7 Our experts monitor, manage and optimize everything in your stack, every day, all day. Enables your development team to focus on building apps, instead of worrying about the graph. Scales seamlessly Lets you start small and scale on demand as your data size and complexity increases, enabling your application to grow with your business.

Average Rating: 4.3/5.0

Total Reviews: 8

How Do G2 Users Rate IBM Graph?

  • Data Model: 8.3/10 (Category avg: 8.8/10)
  • Data Types: 7.2/10 (Category avg: 8.8/10)
  • Built - In Search: 7.8/10 (Category avg: 8.4/10)

Who Is the Company Behind IBM Graph?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Company Size: 50% Large, 30% Small

What Are Recent G2 Reviews of IBM Graph?

FalkorDB

FalkorDB Database is an ultra-low latency Graph Database that perfects the Knowledge Graph for GraphRAG. Effectively overcoming the existing limitations of RAG for GenAI & Large Language Models (LLM).

Average Rating: 4.5/5.0

Total Reviews: 7

How Do G2 Users Rate FalkorDB?

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

Who Is the Company Behind FalkorDB?

Who Uses This Product?

  • Company Size: 100% Small

What Are Recent G2 Reviews of FalkorDB?

Azure Cosmos DB

Azure Cosmos DB is a fully managed, globally distributed NoSQL and vector database service designed to support mission-critical applications with ultra-low latency and elastic scalability. It enables developers to build AI-powered applications and agents by providing seamless integration with AI services, allowing for efficient storage and querying of both NoSQL data and vectors. With its schema-agnostic JSON document model, Azure Cosmos DB simplifies the development process by automatically indexing all data, eliminating the need for manual schema or index management. The service offers comprehensive Service Level Agreements (SLAs), ensuring less than 10-millisecond read and write latencies and 99.999% availability, making it a reliable choice for applications requiring high performance and global reach. Key Features and Functionality: - Global Distribution: Azure Cosmos DB allows for turnkey global distribution, enabling data to be replicated across multiple regions worldwide, providing high availability and low latency access to data. - Elastic Scalability: The service offers elastic scaling of throughput and storage, allowing developers to scale resources up or down based on demand without downtime. - Multi-Model Support: It natively supports multiple data models, including document, key-value, graph, and column-family, catering to diverse application needs. - AI Integration: Built-in vector search capabilities simplify the development of AI applications by efficiently storing and querying vectors alongside NoSQL data. - Automatic Indexing: All data is automatically indexed, facilitating fast and efficient queries without the need for manual index management. - Comprehensive SLAs: Azure Cosmos DB provides industry-leading SLAs covering throughput, latency, availability, and consistency, ensuring predictable performance. Primary Value and Solutions Provided: Azure Cosmos DB addresses the challenges of building and managing globally distributed applications by offering a fully managed database service that ensures high availability, low latency, and elastic scalability. Its integration with AI services and support for multiple data models empower developers to create intelligent, responsive applications without the complexity of managing infrastructure. By automatically handling data distribution, scaling, and indexing, Azure Cosmos DB allows organizations to focus on innovation and delivering value to their users, making it an ideal solution for applications requiring real-time data access and global reach.

Average Rating: 4.2/5.0

Total Reviews: 59

How Do G2 Users Rate Azure Cosmos DB?

  • 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: 8.3/10 (Category avg: 8.8/10)
  • Built - In Search: 8.3/10 (Category avg: 8.4/10)

Who Is the Company Behind Azure Cosmos DB?

  • 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?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Large, 28% Medium

What Do G2 Reviewers Say About Azure Cosmos DB?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Azure Cosmos DB, finding it simple to configure and effective for teams.
  • Users praise the fast performance and vast features of Azure Cosmos DB, enhancing flexibility and integration options.
  • Users find Azure Cosmos DB offers seamless integrations, making it easy to connect with various Microsoft services and APIs.
  • Users value the seamless scalability of Azure Cosmos DB, allowing instant resource management without hassle.
  • Users appreciate the customization options of Azure Cosmos DB, allowing tailored experiences and integration with various APIs.
Cons
  • Users find Azure Cosmos DB to be expensive, often leading to high costs if not managed properly.
  • Users are concerned about the high costs of Azure Cosmos DB, especially with unoptimized storage and partitioning.
  • Users find the complexity issues of Azure Cosmos DB challenging, especially with confusing cost structures and limitations.
  • Users find the complex usage of Azure Cosmos DB challenging, especially for those without advanced database skills.
  • Users find that Azure Cosmos DB can become expensive if storage is not optimized and partitioned effectively.

What Are Recent G2 Reviews of Azure Cosmos DB?

What Are G2 Users Discussing About Azure Cosmos DB?

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Fauna

Fauna is a truly serverless operational database that empowers teams to ship applications faster. It combines the flexibility of a document model with the strong consistency and rich querying power of relational systems—all built on a serverless, distributed architecture that scales automatically, without the complexity of manual provisioning, sharding, or replication. Over 80,000 development teams choose Fauna to build and scale modern transactional applications including teams from Tyson Foods, Unilever, Lexmark, Intelliculture, Hannon Hill, Cloaked, DTLR, and Insights.gg.

Average Rating: 4.4/5.0

Total Reviews: 25

How Do G2 Users Rate Fauna?

  • Has the product been a good partner in doing business?: 9.0/10 (Category avg: 8.9/10)
  • Data Model: 8.3/10 (Category avg: 8.8/10)
  • Data Types: 9.2/10 (Category avg: 8.8/10)
  • Built - In Search: 9.2/10 (Category avg: 8.4/10)

Who Is the Company Behind Fauna?

  • Seller: Fauna
  • Year Founded: 2015
  • HQ Location: San Francisco, CA
  • Twitter: @fauna
    93,015 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    12 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 64% Small, 24% Medium

What Do G2 Reviewers Say About Fauna?

AI-generated summary from verified user reviews

Pros
  • Users highlight Fauna's high scalability, enabling effortless handling of growing applications in a serverless environment.
  • Users find Fauna's interface to be incredibly easy to use, simplifying database management and accelerating development.
  • Users value the flexibility of Fauna, enabling easy prototyping and efficient handling of diverse data requirements.
  • Users value the high reliability of Fauna, appreciating its scalability and low latency in serverless environments.
  • Users praise the exceptional customer support from Fauna, highlighting their responsiveness and helpfulness during setup and troubleshooting.
Cons
  • Users find the difficult learning curve and debugging challenges of Fauna to be significant obstacles to usability.
  • Users struggle with poor documentation for on-premise setups, making it difficult to find necessary deployment patterns.
  • Users find the type system difficult to debug, and the absence of full text search limits usability.
  • Users find the complex setup of Fauna challenging, especially for on-premise architecture integration.
  • Users are concerned about cost issues with Fauna, as pricing can escalate with usage beyond the free tier.

What Are Recent G2 Reviews of Fauna?

What Are G2 Users Discussing About Fauna?

RDFox

RDFox is a high-performance in-memory knowledge graph and semantic reasoner. Optimised for speed and advanced reasoning, it affords query and loading times that are orders of magnitudes faster than alternative triplestores, while also achieving greater insights into the data. RDFox is developed by Oxford Semantic Technologies—an Oxford University spin-out founded by leading academics backed by decades of cutting-edge research in semantic web technologies.

Average Rating: 4.8/5.0

Total Reviews: 12

How Do G2 Users Rate RDFox?

  • 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: 7.8/10 (Category avg: 8.4/10)

Who Is the Company Behind RDFox?

Who Uses This Product?

  • Company Size: 36% Small, 29% Medium

What Are Recent G2 Reviews of RDFox?

What Are G2 Users Discussing About RDFox?

Redis Software

Redis Software is our advanced solution delivering unmatched speed and reliability for on-prem and private cloud environments. It gives you full control over your deployment, ensuring high performance and scalability to meet your specific needs. Redis Software builds on the speed and reliability of Redis Community Edition with advanced features like active-active geo-distribution, advanced query and search capabilities, automated data synchronization, and superior security features. These enhancements provide enterprise-grade performance, reliability, and security, making Redis Software the ideal choice for production-grade applications.

Average Rating: 4.5/5.0

Total Reviews: 133

How Do G2 Users Rate Redis Software?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 8.9/10)
  • 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 Redis Software?

  • Seller: Redis
  • Year Founded: 2011
  • HQ Location: San Francisco, CA
  • Twitter: @Redisinc
    44,002 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,489 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Senior Software Engineer
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 54% Small, 26% Medium

What Do G2 Reviewers Say About Redis Software?

AI-generated summary from verified user reviews

Pros
  • Users love Redis Software as a main cache provider, highlighting its ease of implementation in various projects.
  • Users appreciate the cost efficiency of Redis Software, benefiting from reduced RAM usage and smooth setup processes.
  • Users appreciate the customizability of Redis Software, allowing seamless integration and efficient management of resources and traffic.
  • Users appreciate the efficient data storage capabilities of Redis Software, enabling seamless handling of high traffic and large datasets.
  • Users find the ease of setup with Redis Software ideal for Python, Data, and Large Language Model projects.
Cons
  • Users express concerns over data size limitations in Redis, affecting backup capabilities and large-scale application performance.
  • Users find the expensive licensing fees of Redis Software challenging for SMBs compared to open-source alternatives.
  • Users find limited chart features hinder effective data visualization and analysis within Redis Software.
  • Users find the poor UI of Redis Software struggles with scalability, impacting deployment efficiency and requiring additional tools.
  • Users report slow performance during embedding with large data sets, impacting the efficiency of semantic search.

What Are Recent G2 Reviews of Redis Software?

What Are G2 Users Discussing About Redis Software?

Ultipa Graph

Ultipa builds category-defining real-time graph XAI & database products, and empowers smart enterprises with graph augmented intelligence. Enterprises around the world are going through a major digital transformation trend, which asks for data intelligence + infrastructure revolution. Traditional SQL/RDMBS and most NoSQLs/ML/AI frameworks are outdated, sluggish, black-box and un-flexible. Ultipa graph database products aim to solve these problems w/ real-time graph computing, flexible data modeling, eXplainable AI (XAI) and graph-augmented intelligence. We started in 2019 and began commercialization in 2021, since then we have been serving some of the world's largest banks, insurance companies, regulators and enterprises, and we have applied Ultipa graph database into vertical industries that no other graph vendors could have imagined, such as liquidity risk management, previously only mega players like Oracle had solution which takes T+1 while Ultipa takes

Average Rating: 4.9/5.0

Total Reviews: 5

How Do G2 Users Rate Ultipa Graph?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 8.9/10)
  • Data Model: 9.6/10 (Category avg: 8.8/10)
  • Data Types: 9.6/10 (Category avg: 8.8/10)
  • Built - In Search: 9.6/10 (Category avg: 8.4/10)

Who Is the Company Behind Ultipa Graph?

  • Seller: Ultipa
  • Year Founded: 2019
  • HQ Location: Pleasanton, US
  • LinkedIn® Page: www.linkedin.com
    59 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 40% Small, 40% Medium

What Are Recent G2 Reviews of Ultipa Graph?

data.world

data.world is the most-adopted data catalog and governance platform on the market. Built on a unique knowledge graph foundation, data.world seamlessly integrates with your existing systems. We set the standard for swift, people-centric governance. We don't just manage data; we unlock its potential, paving the way for responsible AI adoption and data-driven decision-making at scale. data.world is a Certified B Corporation and public benefit corporation and home to the world’s largest collaborative open data community with more than two million members, including ninety percent of the Fortune 500.

Average Rating: 4.2/5.0

Total Reviews: 12

How Do G2 Users Rate data.world?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 8.9/10)
  • Data Model: 8.9/10 (Category avg: 8.8/10)
  • Data Types: 9.4/10 (Category avg: 8.8/10)
  • Built - In Search: 8.9/10 (Category avg: 8.4/10)

Who Is the Company Behind data.world?

  • Seller: data.world
  • Year Founded: 2016
  • HQ Location: Austin, Texas
  • Twitter: @datadotworld
    5,498 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    98 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small, 25% Medium

What Do G2 Reviewers Say About data.world?

AI-generated summary from verified user reviews

Pros
  • Users love the ease of use in data analytics with data.world, making data discovery enjoyable and straightforward.
  • Users value the ease of data discovery and analytics, enhancing their overall experience with data.world.
  • Users value the discoverability and ease of use in data management with data.world, enhancing data analytics efficiency.
  • Users enjoy the easy-to-use data visualization tools, making data discovery and analytics accessible and enjoyable.
  • Users enjoy the ease of use of data.world, making data discovery and analytics accessible and enjoyable.
Cons
  • Users often face poor customer support, leading to frustration when resolving issues or queries with data.world.
  • Users experience poor support services, leading to frustration when troubleshooting their issues on data.world.

What Are Recent G2 Reviews of data.world?

What Are G2 Users Discussing About data.world?

HugeGraph

HugeGraph is a fast-speed and highly-scalable graph database. Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP ability. As compliance to Apache TinkerPop 3 framework, various complicated graph queries can be accomplished through Gremlin(a powerful graph traversal language).

Average Rating: 4.5/5.0

Total Reviews: 4

How Do G2 Users Rate HugeGraph?

  • Data Model: 8.3/10 (Category avg: 8.8/10)
  • Data Types: 10.0/10 (Category avg: 8.8/10)
  • Built - In Search: 9.2/10 (Category avg: 8.4/10)

Who Is the Company Behind HugeGraph?

Who Uses This Product?

  • Company Size: 75% Medium, 50% Small

What Are Recent G2 Reviews of HugeGraph?

TopQuadrant

TopBraid EDG is a comprehensive data governance platform designed to help organizations manage, connect, and make sense of their data assets with unmatched flexibility and transparency. Powered by semantic web standards and knowledge graph technology, TopBraid EDG helps build an AI-ready data foundation for governing your data at scale. By seamlessly integrating taxonomies, ontologies, structured and unstructured data, and policies, TopBraid EDG enables dynamic, enterprise-wide semantic interoperability to connect disparate systems, drive smarter decision-making and compliance that inject policy into the data layer. With its scalable, extensible architecture, TopBraid EDG empowers organizations to unlock the full potential of their data while maintaining trust, accuracy, and agility.

Average Rating: 4.6/5.0

Total Reviews: 6

How Do G2 Users Rate TopQuadrant?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.9/10)

Who Is the Company Behind TopQuadrant?

  • Seller: TopQuadrant
  • Company Website:
  • Year Founded: 2022
  • HQ Location: Raleigh, US
  • LinkedIn® Page: www.linkedin.com
    34 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 43% Medium, 29% Small

What Are Recent G2 Reviews of TopQuadrant?

AllegroGraph

AllegroGraph® is a modern, high-performance, persistent graph database. AllegroGraph uses efficient memory utilization in combination with disk-based storage. AllegroGraph supports SPARQL, RDFS++, and Prolog reasoning from numerous client applications.

Average Rating: 5.0/5.0

Total Reviews: 3

How Do G2 Users Rate AllegroGraph?

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

Who Is the Company Behind AllegroGraph?

  • Seller: Franz
  • Year Founded: 1984
  • HQ Location: Lafayette, US
  • Twitter: @Franzinc
    2,142 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    51 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 75% Small, 25% Medium

What Are Recent G2 Reviews of AllegroGraph?

What Are G2 Users Discussing About AllegroGraph?

Bitsy

Bitsy is a small, fast, embeddable, durable in-memory graph database that implements the Blueprints API.

Average Rating: 4.8/5.0

Total Reviews: 3

How Do G2 Users Rate Bitsy?

  • Data Model: 9.2/10 (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 Bitsy?

  • Seller: Bitsy
  • HQ Location: Cottonwood Heights, UT
  • Twitter: @Bitbucket
    46,582 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 33% Large, 33% Medium

What Are Recent G2 Reviews of Bitsy?

What Are G2 Users Discussing About Bitsy?

Connected Papers

https://www.connectedpapers.com is a unique, visual tool to help researchers and applied scientists find and explore papers relevant to their field of work. It started as a weekend side project between friends. When we saw how much it improved our own research and development workflows - and got more and more requests from friends and colleagues to use it - we committed to release it to the public. You know... for science.

Average Rating: 4.5/5.0

Total Reviews: 3

How Do G2 Users Rate Connected Papers?

  • Data Model: 8.3/10 (Category avg: 8.8/10)
  • Data Types: 8.3/10 (Category avg: 8.8/10)
  • Built - In Search: 9.2/10 (Category avg: 8.4/10)

Who Is the Company Behind Connected Papers?

Who Uses This Product?

  • Company Size: 67% Small, 33% Medium

What Are Recent G2 Reviews of Connected Papers?

HGraphDB

HGraphDB is a client layer for using HBase as a graph database. It is an implementation of the Apache TinkerPop 3 interfaces.

Average Rating: 4.5/5.0

Total Reviews: 3

How Do G2 Users Rate HGraphDB?

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

Who Is the Company Behind HGraphDB?

Who Uses This Product?

  • Company Size: 67% Small, 33% Large

What Are Recent G2 Reviews of HGraphDB?

Timbr

Timbr is the ontology-based semantic layer used by leading enterprises to make faster, better decisions with ontologies that transform structured data into AI-ready knowledge. By unifying enterprise data into a SQL-queryable knowledge graph, Timbr makes relationships, metrics, and context explicit, enabling both humans and AI to reason over data with accuracy and speed. Its open, modular architecture connects directly to existing data sources, virtualizing and governing them without replication. The result is a dynamic, easily accessible model that powers analytics, automation, and LLMs through SQL, APIs, SDKs, and natural language. Timbr lets organizations operationalize AI on their data - securely, transparently, and without dependence on proprietary stacks - maximizing data ROI and enabling teams to focus on solving problems instead of managing complexity.

Average Rating: 4.4/5.0

Total Reviews: 7

How Do G2 Users Rate Timbr?

  • Data Model: 8.3/10 (Category avg: 8.8/10)
  • Data Types: 9.2/10 (Category avg: 8.8/10)
  • Built - In Search: 8.3/10 (Category avg: 8.4/10)

Who Is the Company Behind Timbr?

  • Seller: Timbr.ai
  • Year Founded: 2018
  • HQ Location: Raanana , IL
  • LinkedIn® Page: www.linkedin.com
    11 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 63% Small, 38% Large

What Do G2 Reviewers Say About Timbr?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the powerful features of Timbr for simplifying data analysis and creating meaningful visualizations.
  • Users value the SQL support in Timbr, which simplifies data analysis and enhances understanding of complex datasets.
  • Users love the automation tools of Timbr, simplifying email campaigns, social media posts, and repetitive tasks.
  • Users appreciate the powerful data analysis features of Timbr, enabling clear insights through systematic graphs and SQL.
  • Users appreciate the enhanced data management features of Timbr, simplifying SQL complexities and providing valuable context.
Cons
  • Users find the learning curve steep, especially those from non-technical backgrounds, making it challenging to navigate Timbr.
  • Users from non-technical backgrounds find it challenging to grasp the complex usability of Timbr, requiring more time to understand.
  • Users find Timbr expensive, especially for small enterprises, with limited customization options available.
  • Users feel the limited customization options hinder their experience, especially given the high subscription price for small businesses.

What Are Recent G2 Reviews of Timbr?

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