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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

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Top Graph Databases Companies

Showing 10 of 0 companies ranked by annual revenue.

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