Kdb+ logo


Fast, powerful, massively scalable time-series database
+ 1

What is Kdb+?

It is a column-based relational time-series database with in-memory abilities. The database is commonly used in high-frequency trading to store, analyze, process, and retrieve large data sets at high speed. kdb+ has the ability to handle billions of records and analyzes data within a database.
Kdb+ is a tool in the In-Memory Databases category of a tech stack.

Who uses Kdb+?


11 developers on StackShare have stated that they use Kdb+.

Kdb+'s Features

  • In-memory compute engine
  • Real-time streaming processor

Kdb+ Alternatives & Comparisons

What are some alternatives to Kdb+?
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.
Apache Ignite
It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale
See all alternatives

Kdb+'s Followers
14 developers follow Kdb+ to keep up with related blogs and decisions.