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PRODUCT | kdb Insights

 

Python-first and cloud enabled kdb.

Deliver 100x more performance on a small cloud footprint.

kdb Insights brings the small but mighty kdb engine to data scientists and engineers with full support for Docker and Kubernetes and native integration with industry-standard programming languages. It’s the fastest time series analytics engine!

Fully cloud-enabled to operate on AWS, Azure, and GCP as well as on-prem private-cloud environments, kdb Insights allows you to harness the technology that powers Wall Street directly within your cloud services. It lets you modernize your cloud-native analytics stacks and develop transformative machine learning operations (MLOps) pipelines.

BENEFITS OF KDB INSIGHTS

A CLOUD-READY TIME SERIES DATABASE AND ANALYTICS ENGINE SUPPORTING MULTIPLE PROGRAMMING LANGUAGES

Combine kdb+ acceleration with the flexibility of microservices and cloud resources for modern time series.

Empower developers to quickly access and process large data volumes using familiar tools and technologies.

Connect natively to cloud protocols, storage, and services for cost-efficient and high-performance cloud data pipelines.

TIME SERIES

Discover why you need a purpose-built time series platform to handle your data streams – particularly if you’re deploying on the cloud.

KEY FEATURES

ENABLING DEVELOPERS, DATA SCIENTISTS, AND CLOUD ARCHITECTS TO POWER THE REAL-TIME INTELLIGENT ENTERPRISE. 

 

kdb Insights, equipped optimally for cloud data science workflows, enables the delivery of new applications and microservices to power on- and off-cloud analytics.  For existing on-premises kdb+ systems, users can easily upgrade, modernize and add cloud-native functionality.

PGwire & SQL Interoperability

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A PGwire interface enables the reuse of existing PostgreSQL queries and simplifies migration to third-party visualisation tools including PowerBI, Grafana, Tableau, and HeidiSQL.

SQL Logo - KX

Support for ANSI SQL means data engineers can reuse familiar tools and databases for business intelligence, data integration, and data science, accelerating app customization.

Cloud Microservices and Cloud First Features

Stream Processor

Gives access to native complex analytics like joins, aggregations, and windowing functionality for processing and enriching data for further customization and machine learning as required.

Data Access

Provides read-only access to data regardless of where it currently resides across its storage lifecycle (in-memory, on-disk, object storage), removing the need for the user to know its specific location.

Service Gateway

Presents a consistent interface for coordinating requests and routing them to supporting services that may change over time, thereby eliminating the need for consumers to track changes in implementation.

Storage Manager

Controls the capture, persistence, and migration of data across storage tiers appropriate to performance needs, fault tolerance requirements, and aging criteria.

Dashboards

Offering an interactive data visualization service that enables both nontechnical and power users to query, transform, share and present live data insights.

Rest Services & OpenAPI

OpenAPI integration, providing standardized REST APIs for versatile interoperability with programming languages and data sources.

KDB INSIGHTS DEMO

See how to configure kdb Insights microservices and query results.

RELATED RESOURCES

 

KDB INSIGHTS ENTERPRISE

100x more performant data and MLOps pipelines across your enterprise, with scale, resilience, and ease of use.