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Description
HugeGraph is a high-performance and scalable graph database capable of managing billions of vertices and edges efficiently due to its robust OLTP capabilities. This database allows for seamless storage and querying, making it an excellent choice for complex data relationships. It adheres to the Apache TinkerPop 3 framework, enabling users to execute sophisticated graph queries using Gremlin, a versatile graph traversal language. Key features include Schema Metadata Management, which encompasses VertexLabel, EdgeLabel, PropertyKey, and IndexLabel, providing comprehensive control over graph structures. Additionally, it supports Multi-type Indexes that facilitate exact queries, range queries, and complex conditional queries. The platform also boasts a Plug-in Backend Store Driver Framework that currently supports various databases like RocksDB, Cassandra, ScyllaDB, HBase, and MySQL, while also allowing for easy integration of additional backend drivers as necessary. Moreover, HugeGraph integrates smoothly with Hadoop and Spark, enhancing its data processing capabilities. By drawing on the storage structure of Titan and the schema definitions from DataStax, HugeGraph offers a solid foundation for effective graph database management. This combination of features positions HugeGraph as a versatile and powerful solution for handling complex graph data scenarios.
Description
Develop your Knowledge Layer through a user-friendly visual interface that facilitates interaction with the knowledge graph. You can create and query this graph while enriching domain concepts with relevant data. By activating bots, you can enhance the knowledge graph with dynamic connections, allowing for a more interconnected experience. The platform also supports the creation and composition of services using functional composition features, enabling users to add and manage services seamlessly within the knowledge graph. It offers both interactive and scripted access to essential system actions, making operations more efficient. Additionally, the system incorporates schema management, data loading, querying, and administrative capabilities. The command line interface can be easily expanded with custom plug-ins, providing developers with the flexibility to introduce new functionalities. Knowledge applications, which are specific use cases developed by clients on the Maana platform, provide AI-driven insights that aid in operational decision-making. Each knowledge application consists of decision models designed to execute real-time calculations tailored to user needs. Importantly, customers are restricted from accessing knowledge applications created by other users, ensuring privacy and uniqueness in their implementations. This approach fosters a dedicated environment where clients can innovate and customize their knowledge solutions.
API Access
Has API
API Access
Has API
Integrations
Hadoop
Spark
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
HugeGraph
Founded
2018
Website
github.com/hugegraph/hugegraph
Vendor Details
Company Name
Maana
Founded
2012
Country
United States
Website
www.maana.io/knowledge-platform/
Product Features
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
