What is KeyDB?
KeyDB is a fully open source database that aims to make use of all hardware resources. KeyDB makes it possible to breach boundaries often dictated by price and complexity.
KeyDB is a tool in the In-Memory Databases category of a tech stack.
KeyDB is an open source tool with GitHub stars and GitHub forks. Here’s a link to KeyDB's open source repository on GitHub
Who uses KeyDB?
4 companies reportedly use KeyDB in their tech stacks, including KokiApp, ScaleChamp Tech Stack, and AISITS.
18 developers on StackShare have stated that they use KeyDB.
Pros of KeyDB
- Active Replication
- FLASH storage support
- direct backup to AWS S3
KeyDB Alternatives & Comparisons
What are some alternatives to KeyDB?
See all alternatives
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.
Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.
It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.
MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.