What is 2kdb?

2kdb is a specialized database technology built for handling extremely high-velocity, high-volume time-series data. It's primarily used in the financial industry for applications like algorithmic trading, market data analysis, and risk management. Its core strengths are its speed and efficiency in querying and manipulating time-series data.

Key aspects of 2kdb include:

• Columnar Storage: 2kdb employs a columnar storage format, where data is stored by columns rather than rows. This enables significantly faster retrieval of data for analytical queries, as only the necessary columns are read. See: https://www.wikiwhat.page/kavramlar/Columnar%20Storage

• Time-Series Focus: Designed specifically for handling time-series data, 2kdb provides built-in functions and optimizations for querying and manipulating time-based information efficiently. See: https://www.wikiwhat.page/kavramlar/Time-Series%20Data

• Query Language (q): 2kdb uses a proprietary query language called "q," which is a concise and powerful language specifically designed for manipulating time-series data. The q language is array-based and functional. See: https://www.wikiwhat.page/kavramlar/Q%20Programming%20Language

• In-Memory Processing: While 2kdb can store data on disk, it's often used with in-memory processing to achieve extremely high query speeds, critical for real-time analytics and trading systems. See: https://www.wikiwhat.page/kavramlar/In-Memory%20Processing

• KX Systems: 2kdb is developed and maintained by KX Systems. See: https://www.wikiwhat.page/kavramlar/KX%20Systems

• Scalability: Designed for horizontal scalability, 2kdb can handle massive volumes of data and high query loads by distributing the data across multiple servers. See: https://www.wikiwhat.page/kavramlar/Scalability