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What is HugeGraph?

HugeGraph is a highly efficient and scalable graph database designed to handle billions of vertices and edges with impressive performance, thanks to its strong OLTP functionality. This database facilitates effortless storage and querying, making it ideal for managing intricate data relationships. Built on the Apache TinkerPop 3 framework, it enables users to perform advanced graph queries using Gremlin, a powerful graph traversal language. A standout feature is its Schema Metadata Management, which includes VertexLabel, EdgeLabel, PropertyKey, and IndexLabel, granting users extensive control over graph configurations. Additionally, it offers Multi-type Indexes that support precise queries, range queries, and complex conditional queries, further enhancing its querying capabilities. The platform is equipped with a Plug-in Backend Store Driver Framework, currently compatible with various databases such as RocksDB, Cassandra, ScyllaDB, HBase, and MySQL, while also providing the flexibility to integrate further backend drivers as needed. Furthermore, HugeGraph seamlessly connects with Hadoop and Spark, augmenting its data processing prowess. By leveraging Titan's storage architecture and DataStax's schema definitions, HugeGraph establishes a robust framework for effective graph database management. This rich array of features solidifies HugeGraph’s position as a dynamic and effective solution for tackling complex graph data challenges, making it a go-to choice for developers and data architects alike.

What is Apache Bigtop?

Bigtop is an initiative spearheaded by the Apache Foundation that caters to Infrastructure Engineers and Data Scientists in search of a comprehensive solution for packaging, testing, and configuring leading open-source big data technologies. It integrates numerous components and projects, including well-known technologies such as Hadoop, HBase, and Spark. By utilizing Bigtop, users can conveniently obtain Hadoop RPMs and DEBs, which simplifies the management and upkeep of their Hadoop clusters. Furthermore, the project incorporates a thorough integrated smoke testing framework, comprising over 50 test files designed to guarantee system reliability. In addition, Bigtop provides Vagrant recipes, raw images, and is in the process of developing Docker recipes to facilitate the hassle-free deployment of Hadoop from the ground up. This project supports various operating systems, including Debian, Ubuntu, CentOS, Fedora, openSUSE, among others. Moreover, Bigtop delivers a robust array of tools and frameworks for testing at multiple levels—including packaging, platform, and runtime—making it suitable for both initial installations and upgrade processes. This ensures a seamless experience not just for individual components but for the entire data platform, highlighting Bigtop's significance as an indispensable resource for professionals engaged in big data initiatives. Ultimately, its versatility and comprehensive capabilities establish Bigtop as a cornerstone for success in the ever-evolving landscape of big data technology.

Media

Media

Integrations Supported

Hadoop
Spark

Integrations Supported

Hadoop
Apache HBase
Apache Spark
Beats
Jenkins
Jira

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

HugeGraph

Date Founded

2018

Company Website

github.com/hugegraph/hugegraph

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

bigtop.apache.org

Categories and Features

Graph Databases

Not specified

Categories and Features

Software Testing

Not specified

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