kdb+

Additional features

World's Fastest Time Series Database

Independently benchmarked to offer unparalleled speed for real-time and historical data analysis, particularly beneficial for high-frequency trading and other time-sensitive applications.

Unified Real-Time Data Platform (KDB-X)

The next generation of kdb+, providing a single platform to seamlessly combine time-series and AI workflows without relying on fragmented tools.

Low-Millisecond Data Storage & Processing

Utilizes a high-performance, memory-first architecture that minimizes disk I/O, leading to ultra-low read/write latencies.

Unlimited Horizontal Scalability

Designed to handle massive datasets and high-volume events by distributing workloads across a horizontally scalable cluster.

High Availability

Ensures continuous access to data and operations, even in demanding environments.

Time-Series Optimized

Features built-in functions and native temporal datatypes, including nanosecond precision timestamps, making it highly efficient for time-stamped data.

AI Acceleration (KDB.AI & KDB-X)

Includes KDB.AI, a powerful vector database for building scalable, reliable AI applications, including Generative AI with advanced search, recommendation, and personalization capabilities. It can unify feature stores, prediction caches, model repositories, and vector search.

Cost-Effective

Achieves a lower Total Cost of Ownership (TCO) by optimizing data storage and performance for time-series workloads, potentially reducing hardware needs.

Multi-language Support

Supports its native array language q, as well as Python (via PyKX), Java, C#, C++, Rust, R, and various open-source libraries for broad developer appeal.

In-Memory Compute Engine

Leverages the power of in-memory computing for swift data processing by keeping frequently accessed data in RAM, reducing latency.

Columnar Storage Design

Stores data in columns rather than rows, allowing for more efficient access and analysis of specific fields, especially for analytical queries.

Computationally Efficient

Features a small memory footprint and efficiently exploits L1/L2 CPU caches, leading to significantly faster processing than relying solely on RAM.

Parallel Processing

Automatically distributes database operations across multiple CPU cores, maximizing computational throughput.

Data and Transaction Integrity (ACID Compliance)

Supports distributed ACID transactions for reliable Online Transaction Processing (OLTP) applications, ensuring strict serializability and strong data consistency with disk-based durability.

Non-Intrusive Integration

Easily connects to existing applications and data stores without requiring a complete "rip-and-replace" of current infrastructure.

q Language

The built-in, expressive, interpreted vector-based programming language, optimized for speed and concise data manipulation, often used interchangeably with kdb+.

Developer Ecosystem

Provides a comprehensive suite of tools for developers, including a VS Code plugin, KX Developer IDE, and comprehensive documentation.

Dashboards (KX Dashboards)

An interactive data visualization tool for both technical and non-technical users to query, transform, share, and present live data insights with customizable widgets and templates.

SQL & PGWire Support

Indicates compatibility with standard SQL queries and the PostgreSQL wire protocol for broader integration.

Real-time Risk Management

Enables the execution of advanced mathematical models against streaming data from multiple sources.

Smart Decisioning

Processes streaming data and executes business rules, AI/ML models, or optimizations to facilitate real-time decision-making.

Low-Latency Data Hub

Consolidates data from various systems of record into a hub capable of manipulating and curating data for target applications or audiences with minimal delay.

High-Volume Event Processing

Delivers highly scalable, durable, and reliable transactional and stream processing for low-latency, high-throughput applications.

Legacy System Modernization

Helps integrate traditional databases and mainframes into modern data ecosystems, enabling horizontal scaling on-premise and in the cloud.

Enterprise-Grade Support

Provides robust support from leading KX and Apache Ignite engineers throughout development and production.

Consulting Services

Offers expert partnership to help transform, scale, and accelerate businesses with proven solutions.

Training (KX Academy)

Provides free, interactive, on-demand courses aimed at beginners and experienced developers to become proficient in kdb+.

Expert-On-Call

Allows users to get questions answered by leading engineers within hours.

Developer Hub

A centralized resource for guides, tutorials, and code samples.

Community Forums

Connects users with experts for brainstorming solutions, tips, news, and code samples.

Free Trial & Demo

Options to experience the platform firsthand.

Certifications

Available for kdb+ proficiency.

Open-Source Benchmark Tool (KX Nano)

Supports hardware evaluation.

Multithreaded Data Loading

Enhances performance and efficiency when ingesting large datasets, significantly reducing ingestion times (e.g., 50% reduction in kdb+ 4.1).

Unlimited Network Connections & Enhanced TLS

Improves reliability and robust performance for large enterprise deployments and cloud-enabled workloads, ensuring secure data transmissions.

Advanced Compression Algorithms

Maximizes storage efficiency without compromising data access speed.

New q Language Features

Includes enhancements like pattern matching, type checking, and filter functions for more streamlined and robust coding.