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kdb Insights Enterprise
kdb+ Time Series Database
PyKX Python Interoperability
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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.
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.
A PGwire interface enables the reuse of existing PostgreSQL queries and simplifies migration to third-party visualisation tools including PowerBI, Grafana, Tableau, and HeidiSQL.
Support for ANSI SQL means data engineers can reuse familiar tools and databases for business intelligence, data integration, and data science, accelerating app customization.
Delivers a cloud-native, scalable registry that stores, manages, and distributes running services and their metadata for all other services within the microservices-driven environment.
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.
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.
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.
Controls the capture, persistence, and migration of data across storage tiers appropriate to performance needs, fault tolerance requirements, and aging criteria.
Offering an interactive data visualization service that enables both nontechnical and power users to query, transform, share and present live data insights.
OpenAPI integration, providing standardized REST APIs for versatile interoperability with programming languages and data sources.