Graph Database Software
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Neo4j is an open source embeddable graph database developed by Neo Technologies based in San Mateo, California with an office in Sweden.
MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities. The vendor states it is the most secure multi-model database, and it’s deployable in any environment. They state it is an ideal database to power a data hub.
Stardog is a reusable, scalable knowledge graph platform that enables enterprises to unify all their data, including data sources and databases of every type, to get the answers needed to drive business decisions, from Stardog Union headquartered in Arlington.
Cambridge Semantics in Boston offers AnzoGraph DB, a massively parallel processing (MPP) native graph database built for diverse data harmonization and analytics at scale (trillions of triples & more), speed and deep link insights. It is used for embedded analytics that require graph…
Microsoft Azure Cosmos DB is Microsoft's Big Data analysis platform. It is a NoSQL database service and is a replacement for the earlier DocumentDB NoSQL database.
Amazon Neptune is a fully managed graph database built to support study and storage of relationship rich data (e.g. social network data, fraud detection).
Titan is an open-source distributed graph database developed by Aurelius. Aurelius is now part of Datastax (since February 2015).
DataStax Luna is a subscription to the Apache Cassandra expertise at DataStax. It allows subscribers to enjoy all the benefits of open source software, with the peace of mind from direct access to the team that has authored the majority of the Cassandra code and backed some of the…
DataStax Enterprise (DSE) is the scale-out, cloud-native NoSQL database built on Apache Cassandra. DSE is Developer Ready providing developers the freedom of choice of REST, GraphQL, CQL and JSON/Document APIs.
Virtuoso Universal Server from OpenLink Software headquartered in Massachusetts is a multi-model DBMS and Data Virtualization platform, designed to enable fast and flexible integration of data across APIs, Various Data Formats, and DBMS platforms without compromising security, performance,…
Apache AGE is an extension software to PostgreSQL databases that provides graph database functionality and analytics capability.
Through Apache AGE, PostgreSQL users will gain access to graph query modeling within the existing relational database and users will be able to write and…
TigerGraph is a platform for advanced analytics and machine learning on connected data, from the company of the same name headquartered in Redwood City. Based on a distributed native graph database, TigerGraph’s technology supports advanced analytics and machine learning applications…
Ontotext helps enterprises to identify meaning across diverse datasets and massive amounts of unstructured information since 2000. Ontotext offers technology and services for the development of big knowledge graphs, interlinking multiple structured datasets. Analysis of such graphs…
Cayley is an open-source graph database designed for ease of use and storing complex data. The manual introduces key concepts in Cayley, presents the query languages, and provides operational and administrative considerations and procedures as well as comprehensive reference section.…
GraphQL is a query language for APIs and a runtime for fulfilling those queries with existing data. GraphQL provides an understandable description of the data in an API, to give clients the ability to ask for exactly what they need and nothing more, to make it easier to evolve APIs…
Graph Commons is a self-service collaborative platform for mapping, analyzing, and sharing data-networks. Wit…
Katana Graph's technology is an AI-powered graph intelligence platform that uses a combination of graph algorithms and graph neural network architecture to monitor scale and performance.
ArangoDB is a distributed free and open-source database with a flexible data model for graphs, documents, and key-values. Its supporters state that developers can build high performance applications on top of ArangoDB using a convenient SQL-like query language or JavaScript extensions.…
Learn More About Graph Database Software
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.
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Frequently Asked Questions
What does graph database software do?
What are the benefits of using graph database software?
What are the best graph database software products?
These are some popular graph database software products.