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Description

Apache Giraph is a scalable iterative graph processing framework designed to handle large datasets efficiently. It has gained prominence at Facebook, where it is employed to analyze the intricate social graph created by user interactions and relationships. Developed as an open-source alternative to Google's Pregel, which was introduced in a seminal 2010 paper, Giraph draws inspiration from the Bulk Synchronous Parallel model of distributed computing proposed by Leslie Valiant. Beyond the foundational Pregel model, Giraph incorporates numerous enhancements such as master computation, sharded aggregators, edge-focused input methods, and capabilities for out-of-core processing. The ongoing enhancements and active support from a growing global community make Giraph an ideal solution for maximizing the analytical potential of structured datasets on a grand scale. Additionally, built upon the robust infrastructure of Apache Hadoop, Giraph is well-equipped to tackle complex graph processing challenges efficiently.

Description

The foundation of creating intelligent systems lies in the database, and Grakn serves as a sophisticated knowledge graph database. It features an incredibly user-friendly and expressive data schema that allows for the definition of hierarchies, hyper-entities, hyper-relations, and rules to establish detailed knowledge models. With its intelligent language, Grakn executes logical inferences on data types, relationships, attributes, and intricate patterns in real-time across distributed and stored data. It also offers built-in distributed analytics algorithms, such as Pregel and MapReduce, which can be accessed using straightforward queries within the language. The system provides a high level of abstraction over low-level patterns, simplifying the expression of complex constructs while optimizing query execution automatically. By utilizing Grakn KGMS and Workbase, enterprises can effectively scale their knowledge graphs. Furthermore, this distributed database is engineered to function efficiently across a network of computers through techniques like partitioning and replication, ensuring seamless scalability and performance.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
Google Cloud Platform No 

Integrations

Amazon Web Services (AWS) Yes 
Google Cloud Platform Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

giraph.apache.org

Vendor Details

Company Name

Grakn Labs

Founded

2016

Website

grakn.ai/

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