Unlock the fastest time-series vector database, kdb Insights, a high-performance database and streaming analytics engine to build and deploy high-performance, data-intensive applications. Core features include:

• High-precision nanosecond timestamps
• Time-ordered querying
• Exceptionally efficient aggregation across flexible time buckets
• Lightning-fast time-based table joins
  
  

kdb Insights optimizes streaming, vector, and matrix data analytic workflows into a unified, low-latency and low-complexity stack to support modern business cloud requirements.

kdb Insights provides native time-series analytics, Python integration and SQL support to enable organizations to derive insights, detect anomalies, and automate responses – all in real-time and at scale. kdb Insights offers two options: an out of the box Enterprise edition or an SDK edition for teams needing to build from the ground up. Each comes with support and pricing that is subject to usage policies.

Insights Enterprise

• kdb Insights Enterprise is a fully integrated, extensible platform that data teams can use right away for the fastest, most efficient, scalable time-series analytics engine in the cloud.
• No delays, no data duplication — just the most productive, collaborative, and easiest-to-use time-series analytics, with the agility and scalability of the cloud.
• Deploy rapid real-time data pipelines and MLOps development for all types of users — developers, researchers, executives — across the Azure Cloud data ecosystem.
• With support for cloud storage, analytics, and visualization, alongside Python, SQL and REST APIs, kdb Insights Enterprise allows data scientists, analysts, and engineers to make informed, data-driven business solutions quickly and easily.
  
  

Insights SDK

• Insights SDK provides application development teams with the tools necessary to create custom time series analytics applications that fit business needs.
• Build real-time analytics applications with ease. Interfaces for object storage, Kubernetes, Docker, and Helm are provided, along with native support for Python, SQL and REST APIs.
• Utilize PyKX (Python language with a KX wrapper) or use q to directly access underlying data types, allowing analytics to be applied to in-memory or on-disk data.
• Insights SDK provides customers with the highest level of flexibility and control to easily integrate and extend powerful data management capabilities into their existing data and analytics processes.
  
  

Learn More