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Amazon FinSpace

Amazon FinSpace with Managed kdb Insights

Easy to manage high-performance time-series database and analytics for Capital Markets

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Why FinSpace?

Amazon FinSpace simplifies running kdb Insights applications on AWS. Amazon FinSpace automates the undifferentiated tasks required to provision, integrate, and secure infrastructure for kdb Insights. In addition, Amazon FinSpace provides easy to use APIs so customers can configure and run new kdb Insights applications in just a few minutes. Amazon FinSpace gives customers the flexibility required to move existing kdb Insights applications to AWS and get the benefits of cloud, while eliminating the complex and costly work of self-managing the infrastructure.

KX's kdb Insights is a high-performance analytics engine that is optimized for analysis of real-time and multi-petabyte historical time-series data. Kdb Insights is commonly used by Capital Markets customers to power business-critical workloads, such as options pricing, transaction cost analysis, and backtesting.

Features

Easily store kdb database files, encrypted with a KMS key you provide. Use of cloud object store technology seamlessly scales the kdb database as data volumes grow. Integrated, and configurable, high performance caching accelerates important queries, while managing the cost of what data is cached. Built-in database versioning allows you to travel back in time to query your data as it existed at a previous point in time.

Using simple APIs, customers can launch and configure kdb clusters. Managed kdb Insights eliminates much of the operational overhead and provides pay as you go compute for kdb Insights applications. Managed kdb Insights is integrated with Terraform, to enable integration with CI/CD workflows, and AWS services, such as CloudWatch, CloudTrail, and IAM Permissions.

Managed kdb Insights includes configurable autoscaling to ensure that kdb applications can keep up with the most volatile market conditions. You can also configure Multi-AZ to ensure kdb applications are highly available during the more important business hours.

Configure kdb ticker plants, real time clusters, historical clusters, and gateways to match existing environments to easily migrate existing kdb workloads and Q code. In addition to configuration as code through programmatic AWS APIs, customers can set up, access and manage the kdb environment (database and clusters) via the familiar interface of the FinSpace console.

Use cases

Setup centralized tick database

Provide access across your organization to a centralized database with years of historical market data. Eliminate data copies, ensure high quality data, and provide high-performance analytics across billions of rows of data.

Burst kdb applications to AWS for elasticity and agility

Gain benefits of cloud scale to address on-premises infrastructure constraints and keep up with fluctuating market conditions.

Ad hoc high-perf analytics environments for market data

Reduce time to backtest trading algorithms and support quant research. Leverage on-demand compute to validate trading strategies against petabytes of historical market data (i.e. backtesting).

Perform pre/post trade analytics on real-time and historical data

Easily setup secure and scalable environments to perform critical trading analytics for capital markets. Ingest and process large sets of market and transactional data through a high-performance time-series database, and auto-scale compute to keep up with demand.