What is kdb Insights?
kdb Insights is composed of:
|kdb Insights Core||kdb Insights Core allows you to create high-performance time-series analytics in the cloud. You can migrate to the cloud and develop new kdb+ applications on public and private clouds.|
|Stream Processor||A high-performance, scalable event-stream processing system implemented in q.|
|Database||Provides a high-performance, fault tolerant database, with data tiers for performance based data aging.|
|Reliable Transport||A microarchitecture for ensuring the reliable streaming of messages.|
|PyKX||An interface between q, kdb+, underlying data types, and Python. Use PyKX to interact with kdb+ and apply analytics against vast amounts of data in-memory or on-disk.|
|Service Discovery||A cloud-native, scalable registry which stores, manages and distributes running services and their metadata for all other services within the Microservice driven application.|
kdb Insights Enterprise
kdb Insights also comes with an enterprise offering. Take a look at kdb Insights Enterprise for more details.
If you want to integrate with kdb Insights Enterprise APIs, take a look at our API documentation.
kdb Insights Microservices
An ecosystem of cloud-native microservices, built on kdb+
The microservices help developers to:
- Add new function to existing kdb+ systems
- Migrate legacy kdb+ components to the cloud
- Develop new applications or microservices with composition and integration