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What is RediSearch?

Redis Enterprise provides a powerful engine for real-time indexing, querying, and full-text search that can be deployed on-premises or utilized as a cloud-managed service. This advanced search functionality is engineered for quick indexing and data ingestion, harnessing high-performance in-memory data structures designed in C. Users can extend and partition indexes across various shards and nodes, which boosts both processing speed and memory efficiency. Boasting an exceptional five-nines availability along with Active-Active failover, it guarantees continuous operations regardless of external factors. The real-time search features in Redis Enterprise allow users to rapidly create primary and secondary indexes on Hash and JSON datasets through a methodical incremental indexing approach, promoting swift index creation and deletion. These indexes enable users to conduct queries at extraordinary speeds, perform intricate aggregations, and filter information based on various criteria, including properties, numeric ranges, and geographic distances, thereby greatly enhancing data accessibility. By utilizing these advanced features, businesses can profoundly transform their data management and retrieval strategies, leading to more effective decision-making processes. Ultimately, Redis Enterprise stands out as a comprehensive solution for organizations looking to optimize their data handling capabilities.

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

Acontext
Archon Data Store
Camunda
Lygos
Redis

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
Windows
Mac
Linux

Supported Platforms

SaaS
On-Prem
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub

Company Facts

Organization Name

Redis

Company Location

United States

Company Website

redis.com/modules/redis-search/

Company Facts

Organization Name

HotKV Ltd

Date Founded

2026

Company Location

United Kingdom

Company Website

hotkv.com

Categories and Features

Enterprise Search

Not specified

Categories and Features

In-Memory Databases

Not specified

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