Best Graph Database Software 2025

What is Graph Database Software?

Graph database software is used to illustrate relationships between data points. It stores, queries, and visualizes data points, connections, and properties. The graphs can be viewed and manipulated through the software’s UI.

The relationships are referred to as edges, and the data points are referred to as nodes or vertices. Each node represents an entity and contains properties that identify and describe the node. It can be a person, place, thing, or category. An edge represents how nodes are associated and has a start node, end node, type, and usually a direction. Edges describe relationships, actions, and ownership. There is no limit to the number of edges (relationships) that can be attributed to a node (data point).

The software supports three types of graph databases:

• Undirected – edges connect nodes without having a direction
• Directed – edges have a direction associated with them
• Directed Acyclic Graph (DAG) – edges have a direction without looping

Graph database software is used by developers, architects, and data scientists. These graphing capabilities have a wide range of applications including:

• Customer Intelligence and Sales
• Recommendation Engines
• Social Network Data Mining
• Risk Management
• Fraud Detection
• Identity and Access Management
• Supply Chain Management
• Machine Learning and AI
• Network Infrastructure Mapping

Graph Database Software Features

Graph database software generally have the following capabilities:

• Build and maintain databases
• Store node and edge data
• Create, view, and manipulate graphs
• Query language
• Pattern matching
• Scalability
• Indexing, archiving, and backup of queries and graphs
• Cloud-based or on-premises installations

Graph Database Software Comparison

Consider the following when purchasing graph database software.

Database Type: Would a graph database or relational database best serve your needs? Graph databases are more flexible and provide faster access when depicting relationships between data points. Relational databases with their more rigid schemas and data normalization contribute to better security, privacy, and data integrity.

Transaction Volumes and Analytics Constraints: Graph databases are not efficient for processing large transaction volumes or in-depth analytical queries that scan the entire database.

Query Capabilities: Some graph database products are just data stores and do not provide business-friendly user interfaces for queries.

Pricing Information

Most vendors offer custom quotes based on your specific needs. Basic product offerings range from $39 to $199 a month per backend. More robust products offer greater scalability and more user-friendly query capabilities. Full-featured products can be purchased for an all-inclusive one-time only fee that can range up to $10,000 or more. Free open-source products and free trials are available.