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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.

What is Apache Geode?

Develop applications that function with remarkable speed and accommodate substantial data volumes while seamlessly adapting to varying performance requirements, irrespective of scale. Utilize the unique features of Apache Geode, which integrates advanced techniques for data replication, partitioning, and distributed computing. This platform provides a consistency model similar to that of traditional databases, guarantees dependable transaction management, and boasts a shared-nothing architecture that maintains low latency even under high concurrency conditions. Efficient data partitioning or duplication across nodes enables performance to scale as demand rises. To guarantee durability, the system keeps redundant in-memory copies alongside persistent storage solutions on disk. Additionally, it facilitates swift write-ahead logging (WAL) persistence, and its design promotes quick parallel recovery for individual nodes or entire clusters, significantly boosting overall system reliability. This comprehensive framework empowers developers to create resilient applications that can adeptly handle varying workloads, providing a robust solution to meet the challenges of modern data demands. Ultimately, this capability ensures that applications remain responsive and effective, even as user requirements evolve.

Media

No images available

Media

Integrations Supported

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

Integrations Supported

Apache Zeppelin
VMware Tanzu GemFire

API Availability

Has API

API Availability

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.

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

HotKV Ltd

Date Founded

2026

Company Location

United Kingdom

Company Website

hotkv.com

Company Facts

Organization Name

Apache

Date Founded

1999

Company Location

United States

Company Website

geode.apache.org

Categories and Features

In-Memory Databases

Not specified

Categories and Features

Caching

Not specified

Database

Not specified

Distributed Databases

Not specified

In-Memory Databases

Not specified

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