kdb Insights APIs

We provide a rich set of APIs for different microservices in kdb Insights. This section provides detailed breakdowns of development time and runtime APIs available in the system.

API compatibility

This documentation serves as the API reference for both kdb Insights and kdb Insights Enterprise.

Interfaces

Database

The kdb Insights Database allows you to write custom query functions and interact with the database using REST or qIPC. Several core APIs are included out-of-the-box for issuing queries using these interfaces.

• Database API overview - The common interface database APIs
• Query API overview - Included query APIs to be used over REST or qIPC
• Custom query API overview - Details on writing custom query APIs

Stream Processor

The kdb Insights Stream Processor is a high performance stream processing system with a q and Python programming interface.

• Stream Processor q API - Stream Processor q pipeline APIs
• Stream Processor Python API - Stream Processor Python pipeline APIs

Packaging

Packaging allows you to bundle configuration and code and install it into kdb Insights and kdb Insights Enterprise.

• Packaging q API - Packaging and UDF q APIs
• Packaging Python API - Packaging and UDF Python APIs

Machine Learning

The machine learning APIs allow you to interact with the kdb Insights machine learning tool-set using either a q or Python interface.

• Machine Learning Analytics q API
• Machine Learning Registry q API
• Machine Learning Analytics Python API
• Machine Learning Registry Python API

Streaming

• Refer to web-socket protocol for web-socket streaming details.

Open API

• Refer to Open API Generator for OpenAPI specifications.