Unlock the fastest time-series vector database, kdb Insights, a high-performance database and streaming analytics engine to build and deploy high-performance, data-intensive applications. Core features include:

• High-precision nanosecond timestamps

• Time-ordered querying

• Exceptionally efficient aggregation across flexible time buckets

• Lightning-fast time-based table joins

kdb Insights optimizes streaming, vector, and matrix data analytic workflows into a unified, low-latency and low-complexity stack to support modern business cloud requirements.

kdb Insights provides native time-series analytics, Python integration and SQL support to enable organizations to derive insights, detect anomalies, and automate responses - all in real-time and at scale. kdb Insights offers two options: an out of the box Enterprise edition or an SDK edition for teams needing to build from the ground up.

Offers come with Enterprise Support. Pricing is subject to usage policies below. Customers can deploy kdb insights seamlessly on Amazon FinSpace, EKS or Docker on EC2 using the Terraform/Helm charts provided.

Insights Enterprise

kdb Insights Enterprise is a fully integrated, extensible platform that data teams can use right away for the fastest, most efficient, scalable time-series analytics engine in the cloud.

• No delays, no data duplication - just the most productive, collaborative, and easiest-to-use time-series analytics, with the agility and scalability of the cloud.

• Deploy rapid real-time data pipelines and MLOps development for all types of users - developers, researchers, executives - across the Azure Cloud data ecosystem.

• With support for cloud storage, analytics, and visualization, alongside Python, SQL and REST APIs, kdb Insights Enterprise allows data scientists, analysts, and engineers to make informed, data-driven business solutions quickly and easily.

Insights SDK

• Insights SDK provides application development teams with the tools necessary to create custom time series analytics applications that fit business needs.

• Build real-time analytics applications with ease. Interfaces for object storage, Kubernetes, Docker, and Helm are provided, along with native support for Python, SQL and REST APIs.

• Utilize PyKX (Python language with a KX wrapper) or use q to directly access underlying data types, allowing analytics to be applied to in-memory or on-disk data.

• Insights SDK provides customers with the highest level of flexibility and control to easily integrate and extend powerful data management capabilities into their existing data and analytics processes.

Kdb Insights on Amazon FinSpace Amazon FinSpace provides AWS Capital Markets customers with a native, time-series, managed service powered by the industry-recognized kdb Insights, removing the heavy lifting of building and maintaing a data management system for financial analytics.

• Scalability: Combine KX's advanced insights with AWS scalable data management platform

• Efficiency: Reduce the operational costs of running kdb Insights by eliminating manual configuration, operations, and maintenance.

• Rapid deployment: deploy new kdb applications in hours to meet business needs, and accelerate migration of resource constrained on-prem systems

• Speed to market: connect FinSpace to existing on-prem data feeds and migrate existing KX datasets with just a few clicks.

About Managed Services

Managed Services are fully hosted, managed, and supported by the service providers. Although you register with the service provider to use the service, Amazon handles all billing.