KX is the creator of kdb+, independently benchmarked as the world’s fastest vector database and time series analytics engine. Built for the most demanding data environments, KX technology is trusted by the world’s leading companies for their mission-critical data applications. Our industry-leading software processes and analyzes time series and relational data at unmatched speed and scale, enabling richer actionable insights to drive decisions. With it, developers and data engineers build high-performance data-driven applications, and turbo-charge their favorite analytics tools in the cloud, on-premises, and at the edge. Learn more about our products below.
Deployed as a single, low-footprint executable, kdb is highly performant – independently benchmarked as 100 times faster than other solutions, scalable, and can reduce hardware and maintenance costs by 90%. KX data analytics solutions make it easy for data application builders to add real-time capabilities to Python workloads, SQL queries, AI, and ML tools.
Accelerate your transformation to a real-time intelligent enterprise.
The kdb time series database and analytics engine delivers endless possibilities on-prem, at the edge, or in the cloud.
|Features||kdb+||kdb Insights||kdb Insights Enterprise|
|Fastest Query Speed|
|Real-time Data Capture and In-memory Analytics|
|Extreme Scalability (multi-petabyte)|
|Multi-cloud, Hybrid & On-prem|
|Machine Learning Toolkit|
|Program in q|
|Program in Python|
|Program in SQL|
|Pluggable Containerized Microservices|
|Native Cloud Service Integrations|
|Embedded Machine Learning & MLOps|
|Multi-node Data Replication & Recovery|
|Kubernetes Deployment & Operator|
|Authentication & IAM|
|Multi AZ (Availability Zone)|
|Available for hyperscale clouds||Microsoft Azure
|Available on Cloud Marketplaces||Microsoft Azure
|Available as a managed service||Amazon FinSpace||Microsoft Azure Marketplace|
|Download Now||Download Now||Download Now|
Check out the industry leading benchmarks from STAC, Imperial College London and others to see how kdb performs.