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What is VMware Tanzu GemFire?

VMware Tanzu GemFire stands out as a rapid, distributed in-memory key-value store designed for efficient read and write functionalities. It features strong parallel message queuing, guaranteeing uninterrupted availability and an event-driven framework that can be scaled dynamically without incurring downtime. As the need for data storage escalates to support high-performance, real-time applications, Tanzu GemFire provides effortless linear scalability to meet these demands. In contrast to conventional databases, which often fall short in reliability for microservices, Tanzu GemFire proves to be a vital caching resource in contemporary distributed systems. This platform allows applications to achieve quick responses for data retrieval while consistently providing the latest information. Moreover, it enables application subscriptions to real-time events, facilitating swift reactions to changes as they arise. Continuous queries in Tanzu GemFire notify your application of new data availability, which significantly alleviates the workload on your SQL database and boosts overall efficiency. By incorporating Tanzu GemFire, organizations unlock a streamlined data management process that adapts to their expanding requirements, ensuring they remain competitive in the evolving landscape of technology. This adaptability not only enhances performance but also empowers developers to focus on innovation rather than infrastructure challenges.

What is HotKV?

HotKV is a commercial, Redis-compatible in-memory data storage solution designed specifically for application developers and infrastructure teams. It utilizes a C++20 server that effectively processes commands across multiple CPU cores and supports both RESP2 and RESP3 clients, while also providing features like persistence, Lua scripting, clustering, key-value operations, and vector similarity searching. Furthermore, it offers additional modules for prompt and semantic caching, retrieval-augmented generation (RAG), as well as monitoring the usage and budgets associated with large language models (LLMs) and memory for AI agents; these AI functionalities are available through HotKV Cloud's Performance and Scale plans or via a licensing option for on-premises deployments. HotKV Cloud functions as a managed service with dedicated instances, while the On-Premise option is compatible with x86_64 or ARM64 Linux systems, which allows it to integrate seamlessly into a customer's existing infrastructure. Since the compatibility of Redis commands and behaviors can vary, it is essential for teams to verify that all required commands and features are supported prior to migration, ensuring a seamless transition that maximizes application performance. Moreover, the comprehensive features offered by HotKV empower teams to effectively handle workloads and significantly improve their applications' overall capabilities, facilitating enhanced productivity and innovation.

Media

Media

No images available

Integrations Supported

Apache Geode

Integrations Supported

Claude
Cursor
LangChain
LangGraph
LiteLLM
LlamaIndex
Model Context Protocol (MCP)
OpenAI
Vercel AI SDK

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0.03/hour
HotKV Cloud Starter starts at $0.03/hour and is billed monthly or yearly in advance. Starter instances have 2 vCores, 2–8 GB RAM, and 10–40 GB disk; prices vary by region and instance size. On-premise licensing is separate.

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem
Linux

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Broadcom

Date Founded

1991

Company Location

United States

Company Website

www.vmware.com/products/app-platform/tanzu-gemfire

Company Facts

Organization Name

HotKV Ltd

Date Founded

2026

Company Location

United Kingdom

Company Website

hotkv.com

Categories and Features

Caching

Not specified

In-Memory Databases

Not specified

Key-Value Databases

Not specified

Categories and Features

In-Memory Databases

Not specified

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