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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Hazelcast Jet offers enhanced application performance at scale, making it easier than ever to develop lightning-fast applications. Our platform provides access to a scalable, shared RAM pool across multiple computers in a cluster. As the industry's most thorough in-memory computing solution, it combines the fastest in-memory data grid with cutting-edge high-speed event processing, all accessible through the cloud. Hazelcast empowers you to create new data-enabled applications that can drive significant business impact, provided they meet the urgent demands of modern enterprises. With Hazelcast, you can utilize the shared RAM pool across a cluster to ensure your applications run at peak speed. The distributed architecture of Hazelcast guarantees redundancy, ensuring continuous cluster uptime and the availability of data for even the most resource-intensive applications. As capacity scales smoothly in response to demand, performance and availability remain uncompromised. Additionally, Hazelcast's in-memory solutions work alongside traditional databases, offering speeds that are exponentially greater. Ultimately, Hazelcast enables organizations to harness the full potential of real-time data processing, positioning them for success in a competitive landscape.

Description

Terracotta Server Platform is an open source server platform that provides distributed in-memory data management for applications using Terracotta technologies such as Ehcache and TCStore. It enables clustered caching by allowing applications to connect to a Terracotta Server and store cache data across server-side resources. The platform can be deployed as a simple two-node tandem or expanded into a larger Terracotta Server Array for added scalability, performance, and failover protection. Terracotta Server helps teams manage large volumes of data in memory, making it useful for workloads that need fast access to shared cached data. Its key capabilities include high availability, configurable health monitoring, automatic node reconnection, and simplified capacity planning. The platform supports JDK 17 or higher and can be started from a local kit or Docker image. Developers can connect clustered Ehcache clients using Java or XML configuration and define server-side off-heap resources for cache storage. Commercially supported versions from IBM offer additional capabilities such as fast-restart persistence, advanced management, and security features. Terracotta Server Platform is a practical option for teams that want to extend Ehcache with distributed caching and improve application performance across clustered environments.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

FF4J

Integrations

FF4J

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

Hazelcast

Founded

2012

Country

United States

Website

hazelcast.com

Vendor Details

Company Name

Terracotta

Website

www.terracotta.org

Product Features

Business Performance Management

Ad Hoc Reports
Ad hoc Analysis
Budgeting & Forecasting
Consolidation / Roll-Up
Dashboard
Key Performance Indicators
Predictive Analytics
Qualitative Analysis
Quantitative Analysis
Scorecarding
Strategic Planning

Product Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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