Enabling application developers, data scientists, and data engineers
to power the real-time intelligent enterprise.
kdb+ provides data scientists and application developers with a centralized high-performance time series analytics solution for real-time and multi-petabyte historical datasets. Built on top of the powerful q language, it is proven by independent benchmarks to significantly reduce hardware and maintenance costs, delivering ultra-high performance and scalability.
By managing all aspects of the data management process, from ingestion, storage, and logging to event processing and real-time analytics, kdb+ reduces
the number of separate steps required to move and process data. Consequently, it minimizes latency and TCO in developing solutions across multiple industries.
In financial services, for example, “tick data” can be captured directly from exchange feeds such as NYSE and NASDAQ and aggregators such as Bloomberg and LSEG Refinitiv.
Under this architecture, the most recent data lives in memory and older data lives on persistent disk. This hybrid solution allows users to query on-disk tables as if they were in memory and vice versa, with no difference to query syntax, greatly reducing developer overhead and maintenance costs.