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What is Grakn?

The cornerstone of developing intelligent systems is the database, with Grakn exemplifying a highly advanced knowledge graph database. It boasts a remarkably intuitive and expressive data schema, enabling the creation of hierarchies, hyper-entities, hyper-relations, and rules for constructing comprehensive knowledge models. Grakn employs an intelligent language that performs logical inferences on various data types, relationships, attributes, and complex patterns in real-time across both distributed and stored data. Additionally, it includes integrated distributed analytics algorithms, such as Pregel and MapReduce, which users can easily access through simple queries within the language. The system abstracts low-level patterns effectively, making it easier to articulate intricate constructs while ensuring that query execution is optimized automatically. By utilizing Grakn KGMS and Workbase, businesses can efficiently expand their knowledge graphs. Moreover, this distributed database is designed to operate optimally across a network of computers by employing strategies like partitioning and replication, which guarantees consistent scalability and performance. Ultimately, Grakn not only streamlines the management of complex data but also enhances the overall capability of intelligent systems.

What is Blazegraph?

Blazegraphâ„¢ DB is a remarkably efficient graph database that supports both Blueprints and RDF/SPARQL APIs, capable of managing as many as 50 billion edges within a single system. This advanced database is currently employed by numerous Fortune 500 companies, including prominent names like EMC and Autodesk. Its significance extends to critical applications in Precision Medicine and it is widely used in the life sciences sector. Moreover, Blazegraph plays a vital role in cyber analytics across various commercial and governmental organizations. The database also underpins the Wikidata Query Service of the Wikimedia Foundation, showcasing its adaptability and dependability. Users have the flexibility to choose from different distribution formats, such as an executable jar, war file, or tar.gz, making it suitable for a range of deployment options. Designed with an emphasis on user convenience, Blazegraph is easy to install; however, it lacks SSL and authentication by default, which is an important factor for new users to consider. For production deployments, it is highly recommended to enable SSL, implement user authentication, and correctly configure the network to enhance security. Additionally, a wealth of resources and links are provided below to guide you through these necessary configurations and ensure optimal performance. This commitment to security and usability makes Blazegraph a compelling choice for organizations seeking robust graph database solutions.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform

Integrations Supported

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Grakn Labs

Date Founded

2016

Company Website

grakn.ai/

Company Facts

Organization Name

Blazegraph

Date Founded

2006

Company Location

United States

Company Website

blazegraph.com

Categories and Features

Distributed Databases

Not specified

Graph Databases

Not specified

Categories and Features

Distributed Databases

Not specified

Graph Databases

Not specified

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