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What is Memstate?

Develop essential applications that provide real-time performance while drastically lowering both time and expenses. Memstate emerges as a revolutionary solution that optimizes data management. The conventional method of moving data between disk and RAM is not only inefficient, but it also involves multiple layers of complicated software that can be eliminated entirely. With Memstate, you can effectively organize and manage your data in memory, achieving seamless persistence, concurrency control, and transactions that adhere to strict ACID standards. This innovative approach has the potential to increase your application’s speed by up to 100 times while enhancing developer productivity by a factor of ten. While Memstate can be utilized across various applications, it is specifically designed to handle intricate Online Transaction Processing (OLTP) workloads that are prevalent in enterprise environments. In-memory operations deliver a performance advantage that significantly surpasses that of disk-based systems. A single Memstate engine can manage millions of read transactions and tens of thousands of write transactions per second, all while ensuring submillisecond latency, positioning it as a superior option for high-demand scenarios. By adopting this cutting-edge technology, you can transform your applications and optimize efficiency throughout your operational processes. Additionally, Memstate's capabilities ensure that you remain competitive in an ever-evolving technological landscape.

What is Graph Engine?

Graph Engine (GE) is an advanced distributed in-memory data processing platform that utilizes a strongly-typed RAM storage system combined with a flexible distributed computation engine. This RAM storage operates as a high-performance key-value store, which can be accessed throughout a cluster of machines, enabling efficient data retrieval. By harnessing the power of this RAM store, GE allows for quick random data access across vast distributed datasets, making it particularly effective for handling large graphs. Its capacity to conduct fast data exploration and perform distributed parallel computations makes GE a prime choice for processing extensive datasets, specifically those with billions of nodes. The engine adeptly supports both low-latency online query processing and high-throughput offline analytics, showcasing its versatility in dealing with massive graph structures. The significance of schema in efficient data processing is highlighted by the necessity of strongly-typed data models, which are crucial for optimizing storage and accelerating data retrieval while maintaining clear data semantics. GE stands out in managing billions of runtime objects, irrespective of their sizes, and it operates with exceptional efficiency. Even slight fluctuations in the number of objects can greatly affect performance, emphasizing that every byte matters. Furthermore, GE excels in rapid memory allocation and reallocation, leading to impressive memory utilization ratios that significantly bolster its performance. This combination of capabilities positions GE as an essential asset for developers and data scientists who are navigating the complexities of large-scale data environments, enabling them to derive valuable insights from their data with ease.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

€200 per GB RAM per server
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Memstate

Date Founded

2014

Company Location

Sweden

Company Website

memstate.io

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

www.graphengine.io

Categories and Features

Categories and Features

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