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Description
HyperGraphDB serves as a versatile, open-source data storage solution founded on the sophisticated knowledge management framework of directed hypergraphs. Primarily created for persistent memory applications in knowledge management, artificial intelligence, and semantic web initiatives, it can also function as an embedded object-oriented database suitable for Java applications of varying scales, in addition to serving as a graph database or a non-SQL relational database. Built upon a foundation of generalized hypergraphs, HyperGraphDB utilizes tuples as its fundamental storage units, which can consist of zero or more other tuples; these individual tuples are referred to as atoms. The data model can be perceived as relational, permitting higher-order, n-ary relationships, or as graph-based, where edges can connect to an arbitrary assortment of nodes and other edges. Each atom is associated with a strongly-typed value that can be customized extensively, as the type system that governs these values is inherently embedded within the hypergraph structure. This flexibility allows developers to tailor the database according to specific project requirements, making it a robust choice for a wide range of applications.
Description
Create high-quality, essential applications that deliver real-time performance while significantly reducing both time and costs. Memstate is a groundbreaking solution that streamlines data management. The traditional process of transferring data between disk and RAM is not only highly inefficient, but it also necessitates numerous layers of complex software that can be entirely removed. With Memstate, you can organize and handle your data in memory, achieving seamless persistence, concurrency control, and transactions that meet rigorous ACID standards. This approach can enhance your application’s speed by 100 times and boost developer productivity by tenfold. Although Memstate can be applied in various scenarios, it is primarily tailored to manage complex Online Transaction Processing (OLTP) workloads commonly found in enterprise applications. In-memory operations provide a performance advantage that is exponentially greater than that of disk-based operations. A single Memstate engine is capable of processing millions of read transactions and tens of thousands of write transactions each second, all while maintaining submillisecond latency, making it an exceptional choice for high-demand environments. Embrace this innovative technology to elevate your applications and maximize efficiency across the board.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
€200 per GB RAM per server
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
Kobrix Software
Founded
2015
Country
United States
Website
hypergraphdb.org
Vendor Details
Company Name
Memstate
Founded
2014
Country
Sweden
Website
memstate.io
