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Top 3 Graph Databases SaaS Companies in May 2026

As of May 2026, there are 3 SaaS companies in Graph Databases. They have combined revenues of $1.1M and employ 10 people. They have raised - and serve - customers combined.

Graph databases are specialized database management systems designed to store and manage data structured as graphs. They utilize nodes, edges, and properties to represent and handle complex relationships effectively, making them particularly useful for modeling interconnected data. These databases excel in scenarios where relationships between data points are paramount, such as social networks, recommendation engines, and fraud detection. Typical features of graph databases include the ability to perform complex queries on relationships and traverse data efficiently. Users can execute graph algorithms to derive insights and analyze patterns, making these databases popular among data scientists, software developers, and analysts. The common buyer personas for graph databases include IT and data engineering teams that are focused on handling large volumes of interconnected data and require versatile solutions for data modeling and retrieval.

Companies
3
Revenue
$1.1M
Funding
-
Employees
10

Filters

Sorting: Highest -> Lowest

Filters
Revenue
All<$1M$1M-$5M$5M-$10M$10M-$100M$100M+
Funding (Locked)Growth (Locked)Team-Size (Locked)

Top Graph Databases Companies

Showing 10 of 3 companies ranked by annual revenue.

1
GraphGrid

Wooster, Arizona, United States

Developer of graph database management platform designed to facilitate aggregating, managing, securing and analyzing multi-source data at scale. The company's platform unleashes the power of enterprise Neo4j and Amazon cloud services through embracing data relationships at the core of the architecture and provides 24/7 deployment, management, operation and support for an entire ecosystem of services, enabling users to have rapid connection and analysis of their enterprise's data.

Revenue
$649.5K
Customers
-
Year founded
2018
Funding
-
Team size
5
Growth
57.7%
2
Speedment

Palo Alto, California, United States

Developer of a cloud-based software designed to focus on graph databases and optimization of databases. The company's software helps to improve the performance of data-intensive web application, reduces time to market for Ext JS projects and improves application responsiveness, enabling back end developers to rapidly convert their large relational databases into in-memory Java objects that speed up data access by orders of magnitude.

Revenue
$321.1K
Customers
-
Year founded
2007
Funding
-
Team size
3
Growth
26.5%
3
Dydra

New Orleans, Louisiana, United States

Provider of a cloud-based database-as-a-service designed to help in semantic data management. The company's graph database focuses on data integrity and availability, offering cloud services for remote access and in-house installations, enabling businesses to store, analyze and leverage big data.

Revenue
$97.5K
Customers
-
Year founded
2010
Funding
-
Team size
2
Growth
26.5%

Inclusion Criteria

- Must utilize a graph data model to represent data structures - Should support complex relationships and allow for efficient traversal of these relationships - Must include capabilities for conducting graph algorithms and analytical operations - Should be designed to scale with large datasets and high query volumes - Not just a relational database; must specifically offer graph-based querying features - Should provide robust data integrity and support for transactional operations - Must allow for flexible schema design to accommodate evolving data structures