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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
Introducing Speedb, the cutting-edge key-value storage engine that is fully compatible with RocksDB, offering enhanced stability, efficiency, and performance improvements. By becoming a part of the Hive, Speedb’s open-source community, you can engage with others to refine and exchange insights and best practices regarding RocksDB. Speedb stands as a viable alternative for users of LevelDB and RocksDB who are looking to elevate their applications. If you are utilizing event streaming platforms such as Kafka, Flink, Spark, Splunk, or Elastic, incorporating Speedb can significantly boost their performance. The growing volume of metadata in contemporary data sets is leading to notable performance challenges for various applications, but with Speedb, you can maintain affordable costs while ensuring your applications run seamlessly, even during peak demand. When considering whether to upgrade or implement a new key-value store within your infrastructure, Speedb is well-equipped to meet the demands. By integrating Speedb's sophisticated key-value storage engine into your projects, you will swiftly notice enhancements in performance and efficiency, allowing you to focus on innovation rather than troubleshooting.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Apache Kafka
No
Apache Spark
No
Elastic Cloud
No
Flink
No
Hadoop
Yes
RocksDB
No
Spark
Yes
Splunk Cloud Platform
No
Integrations
Apache Kafka
Yes
Apache Spark
Yes
Elastic Cloud
Yes
Flink
Yes
Hadoop
No
RocksDB
Yes
Spark
No
Splunk Cloud Platform
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
Free
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
No
Live Rep (24/7)
No
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
No
Vendor Details
Company Name
HugeGraph
Founded
2018
Website
github.com/hugegraph/hugegraph
Vendor Details
Company Name
Speedb
Country
Israel
Website
www.speedb.io
