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.
API documentation
If you want to integrate with kdb Insights Enterprise APIs, take a look at our API documentation.
kdb Insights Microservices
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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