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Dev tools · September 19, 2024

ES

EloqKV – Scalable distributed ACID key-value database with Redis API

We're thrilled to unveil EloqKV, a lightning-fast distributed key-value store with a Redis-compatible API. Built on a new database architecture called the Data Substrate, EloqKV brings significant innovations to database design. Here’s the unique features that makes it stand out: - Flexible Deployment: Run it as a single-node in-memory KV cache, a larger-than-memory database or scale to a highly available, distributed transactional database with ease. - High Performance: Achieves performance levels comparable to top in-memory databases like Redis and DragonflyDB, while significantly…

In plain words

EloqKV is a distributed key-value database with a Redis-compatible API that supports ACID transactions. It can run as a single-node in-memory cache or scale to a highly available distributed system. The database achieves performance comparable to Redis and DragonflyDB while supporting data larger than memory. It allows independent scaling of CPU, memory, storage, and logging resources. EloqKV is designed for developers who need transactional guarantees in distributed environments.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

We're thrilled to unveil EloqKV, a lightning-fast distributed key-value store with a Redis-compatible API. Built on a new database architecture called the Data Substrate, EloqKV brings significant innovations to database design. Here’s the unique features that makes it stand out: - Flexible Deployment: Run it as a single-node in-memory KV cache, a larger-than-memory database or scale to a highly available, distributed transactional database with ease. - High Performance: Achieves performance levels comparable to top in-memory databases like Redis and DragonflyDB, while significantly outperforming durable KV stores like KVRocks. - Full ACID Transactions: Ensures complete transactional integrity, even in distributed environments. - Independent Resource Scaling: Scale CPU, memory, storage, and logging resources independently to meet your needs. We’d love to hear your thoughts and feedback!

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