Welcome to kdb Insights Enterprise Documentation

About

Insights Enterprise is a turnkey solution that allows you to capture and analyze your high-volume, high-velocity, machine-generated, time-series data.

Key features

• Data discovery and exploration

• Scalability

• Security and access

• Available and fault tolerant data

• Diagnostics

Useful resources

• Review details about features

• Review all the interfaces for Insights Enterprise

• Review the architecture and familiarize yourself with the underlying components and workflows

Start Here

Use the quick links below to orient yourself to the concepts of Insights Enterprise, install and set up the product based on your preference, and learn how to perform common tasks within the system.

Get Started

• Sign up for free trial
• Deploy on Azure Marketplace
• Deploy to a Kubernetes cluster
• Install KXI CLI Interface

Reference

• Rest API
• Package Object Reference
• Packaging API
• Stream Processor API
• Machine Learning API
• Language Interfaces

How Tos

• Manage Packages
• Configure Database
• Storing Data
• Ingest & Transform Data
• Query Data
• Analyze Data
• Visualize Data
• Diagnose Deployments

Explore Deployment Options

Key Features in the 1.12 Release

Check out some of the key features from our recent release, review the latest release page or refer to previous releases page to learn about other enhancements.

• Batch Ingest Features & Enhancements - The new database writer enhances batch ingest when using direct write by supporting partitioned pipelines, unbounded readers, full Insights SDK deployment support, and improved monitoring using a new API.
• Initial Database Import Enhancements - Import your existing kdb+ database into kdb Insights Enterprise to seed your database with data, featuring enhanced schema validation and improved failure handling.
• Row Level Entitlements – Manage user access to data at row level by applying policies to manage the group’s entitlements to rows of data in each table in your database.
• Performance Tuning for Schemas - Define appropriate table definitions and attributes with in-app guidance in kdb Insights Enterprise, helping you achieve optimal schema and performance.
• User-Defined Analytics (UDAs) Enhancements - Enhancements to UDAs now allow for native Python development, enabling you to create, maintain, and deploy UDAs as part of a package. Additionally, you can query using these UDA directly from the SP Pipeline and the Query Tab, providing greater flexibility and integration within your workflows.
• Improved Views - New filtering options for streaming subscribers in Views now support various data types and multiple columns. Also, you can now add a second y-axis on the visualization tab within a scratchpad, for better dataset display.

Get Involved

KX Academy & Courses KX Slack Community Submit a Feature Request Provide Product Feedback