How does Kvrocks performance compare to Redis?

Kvrocks offers higher storage capacity and lower memory costs but has higher latency due to disk-based storage. It's optimized for large-scale data where cost matters more than sub-millisecond speed.

Is Kvrocks fully compatible with all Redis commands?

No, while it supports most common commands, some advanced or newer Redis features might be missing or limited. Always check the 'Supported Commands' page before migration to avoid surprises.

How to migrate data from Redis to Kvrocks?

Use RedisShake, a tool mentioned in the README, to transfer data seamlessly. It handles replication while maintaining protocol compatibility, ensuring a smooth transition.

What are the main trade-offs between Kvrocks and Redis?

Kvrocks trades lower latency for cost efficiency and larger storage. Choose Redis for speed-critical apps, but Kvrocks for budget-conscious, high-capacity needs with acceptable latency.

How to set up high availability with Kvrocks?

Implement Redis Sentinel as supported by Kvrocks for automatic failover. Configure master-slave replication and Sentinel nodes to monitor health and handle failures automatically.

Can Kvrocks handle high write throughput?

Yes, but performance depends on RocksDB tuning and disk speed. It's designed for large-scale workloads, but you may need to optimize configurations for peak write scenarios.

Kvrocks

Apache-2.0C++v2.15.0

A distributed key-value NoSQL database compatible with Redis protocol, using RocksDB for storage to reduce memory costs and increase capacity.

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What is Kvrocks?

Apache Kvrocks is a distributed key-value NoSQL database that uses RocksDB as its storage engine and is fully compatible with the Redis protocol. It is designed to reduce memory costs and increase storage capacity compared to Redis, making it ideal for large-scale data storage where memory efficiency is critical. The database supports features like namespaces, asynchronous replication, high availability via Sentinel, and centralized cluster management.

Target Audience

Developers and organizations needing a Redis-compatible database with larger storage capacity and lower memory costs, particularly those managing big data workloads or seeking cost-effective alternatives to in-memory databases.

Value Proposition

Kvrocks offers full Redis protocol compatibility while leveraging RocksDB for disk-based storage, dramatically reducing memory costs and increasing capacity. Its built-in high availability, clustering, and namespace features provide enterprise-grade reliability and isolation without sacrificing developer familiarity.

Overview

Apache Kvrocks is a distributed key value NoSQL database that uses RocksDB as storage engine and is compatible with Redis protocol.

Use Cases

Best For

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Large-scale caching layers requiring Redis compatibility with reduced memory footprint

High-capacity key-value storage where Redis memory costs are prohibitive

Migrating Redis workloads to a more cost-effective disk-based solution

Implementing data isolation across multiple tenants using namespaces

Building distributed systems with built-in high availability and failover

Deploying Redis-like clusters with centralized management and proxyless access

Not Ideal For

Real-time applications demanding sub-millisecond latency
Small datasets that fit entirely in memory and benefit from Redis' speed
Workloads requiring synchronous replication for immediate consistency
Projects reliant on niche or recently added Redis commands not yet fully supported

Pros & Cons

Pros

Full Redis Protocol Compatibility

Users can access Kvrocks via any standard Redis client without code changes, making migration from Redis straightforward and reducing adoption barriers.

Cost-Effective Large-Scale Storage

Leverages RocksDB for disk-based storage, dramatically reducing memory costs and enabling petabyte-scale capacity compared to in-memory Redis, ideal for big data workloads.

Built-in Namespace Isolation

Provides token-based namespaces for secure data isolation, offering finer-grained multi-tenancy than Redis SELECT and enhancing security in shared environments.

High Availability with Sentinel

Supports Redis Sentinel for automatic failover, ensuring reliability in distributed deployments without requiring custom failover logic.

Cons

Higher Latency from Disk I/O

Operations are slower than in-memory Redis due to RocksDB storage, making it unsuitable for latency-sensitive applications like real-time gaming or financial trading.

Partial Command Support

Not all Redis commands are fully implemented or optimized, as noted in the separate 'Supported Commands' documentation, which can break compatibility for advanced features.

Async Replication Lag

Uses asynchronous replication inspired by MySQL binlog, introducing potential data inconsistency during failovers and limiting use in strong-consistency scenarios.

Complex Cluster Management

While proxyless, cluster setup requires additional tools like kvrocks-controller for operations like scaling, adding operational overhead compared to simpler solutions.

Open Source Alternative To

Kvrocks is an open-source alternative to the following products:

Redis

An open-source, in-memory data structure store used as a database, cache, and message broker. It supports various data structures such as strings, hashes, lists, sets, and more.

Frequently Asked Questions

Home

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LevelDB

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

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A library that provides an embeddable, persistent key-value store for fast storage.

Minimalistic C client for Redis >= 1.2

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Infinity

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

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