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What is Valkey?

Valkey is an open-source, high-performance key/value datastore tailored to accommodate a variety of workloads such as caching, message queuing, and serving as a primary database. Supported by the Linux Foundation, its open-source nature is assured for the long term. Valkey can operate as an independent service or be configured within a clustered setup, offering features like replication to maintain high availability. It supports an extensive range of data types, which include strings, numbers, hashes, lists, sets, sorted sets, bitmaps, and hyperloglogs. Users are empowered to directly manipulate these data structures using a diverse set of commands. Furthermore, Valkey enhances its capabilities through native extensibility, which includes integrated Lua scripting and the ability to add new commands and data types via module plugins. The recent release of Valkey 8.1 introduces a variety of upgrades that significantly enhance performance by minimizing latency, increasing throughput, and optimizing memory usage. As a result, Valkey stands out as an increasingly efficient option for developers in search of a robust and adaptable data management solution, ensuring that it meets the evolving needs of modern applications.

What is Terracotta?

Terracotta Server Platform is a distributed in-memory data management solution that serves as the foundation for Terracotta clusters and products such as Ehcache and TCStore. It gives development and infrastructure teams a way to add clustered caching and shared server-side storage to Ehcache deployments. A Terracotta Server Array can be configured as a basic two-node system or expanded into a larger multi-node setup to support higher capacity, stronger performance, and deeper failover coverage. The platform is built to manage large amounts of in-memory data and can handle far more memory than many traditional data grid approaches. Terracotta Server supports scalability without complex configuration by allowing teams to add server instances as demand increases. Its high availability capabilities help maintain uptime through instant failover, while Terracotta HealthChecker provides configurable inter-node monitoring. Automatic node reconnection allows temporarily disconnected server instances and clients to rejoin the cluster without manual intervention. Getting started involves downloading the Terracotta Server through the clustered Ehcache kit or Docker image, starting the server, and connecting an Ehcache client through Java or XML configuration. Developers can define clustered dedicated resources, use off-heap memory, and test cache operations by putting and retrieving key-value data through a clustered cache manager. The platform requires JDK 17 or higher and is freely available under the Apache Public License 2.0. Terracotta Server Platform is built for teams that need scalable, reliable, and high-performance distributed caching across clustered Java application environments.

Media

Media

Integrations Supported

DanubeData
Dragonfly
Elestio
FF4J
Go
Java
Lua
Node.js
PHP
Python

Integrations Supported

DanubeData
Dragonfly
Elestio
FF4J
Go
Java
Lua
Node.js
PHP
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Free
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

Valkey

Company Location

United States

Company Website

valkey.io

Company Facts

Organization Name

Terracotta

Company Website

www.terracotta.org

Categories and Features

Categories and 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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