Fast, efficient time-series analytics in the cloud
Maintain your competitive edge with our highly available, scalable, time-series analytics on AWS. Build a performant data analytics solution for today’s cloud and hybrid ecosystems, while making the most of the agility, security, and scalable storage provided by AWS.
Speed to market
Connect to existing on-premise data feeds and migrate existing KX datasets, with just a few clicks.
Improve efficiency
Significantly reduces the operational costs of running kdb Insights Portfolio by eliminating manual configuration, operations, and maintenance.
Rapid deployment
Deploy new kdb applications in hours instead of months to meet business needs and accelerate migration of resource constrained on-premise systems.
Scale and resilience
AWS’s scalable cloud infrastructure and elastic compute resources help you to efficiently expand and dynamically scale data analytics, optimizing cost and performance.
Why kdb Insights Portfolio on AWS?
Accelerate analytics
High-performance time-series data processing, allowing you to handle large volumes of data quickly and efficiently, accelerating time-to-insight.
Leverage the power of the cloud
Build a powerful and performant data analytics solution, seamlessly integrating with other AWS services, such as Lambda, S3, and Redshift.
Customize analytics applications
Use a range of APIs and tools that make it easy for you to build and deploy custom data analytics applications.
Deploy reliable GenAI applications
KDB.AI can be deployed on AWS Bedrock to bring temporal and semantic context and relevancy to your AI-powered applications.
Managed services for FSI customers
Financial institutions can support their most advanced kdb applications and significantly reduce operational costs with Amazon FinSpace.
