About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

AWS Adds Amazon FinSpace Managed Service Offering Data Management and Preparation for Analytics

Subscribe to our newsletter

AWS has released Amazon FinSpace, a data management and analytics managed service designed to store, catalogue and prepare financial industry data at scale, as well as reduce the time it takes to find and access data for analysis from months to minutes.

FinSpace avoids the heavy lifting of building and maintaining a data management system for financial analytics, and instead automates data collection in a secure data management application and catalogues it by relevant business concepts such as asset class, risk classification, or geographic region. An integrated framework manages data access, audits who is accessing what data and when, tracks data usage, and generates compliance and audit reports.

Data is accessed through the FinSpace web interface, which allows users to search for data using familiar business terms such as ‘S&P500’, ‘CAC40’, and ‘private equity funds in euro’, and prepare chosen datasets using a built-in library of more than 100 specialised functions for time series data, such as time bars and Bollinger bands. They can also integrate functions from their own libraries. The service also offers support for historical data.

FinSpace is initially available in the US East (Northern Virginia), US East (Ohio), US West (Oregon), EU (Ireland), and Canada (Central) AWS regions, with availability in additional regions coming soon.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: How to organise, integrate and structure data for successful AI

25 September 2025 10:00am ET | 3:00pm London | 4:00pm CET Duration: 50 Minutes Artificial intelligence (AI) is increasingly being rolled out across financial institutions, being put to work in applications that are transforming everything from back-office data management to front-office trading platforms. The potential for AI to bring further cost-savings and operational gains are...

BLOG

Data Quality Posing Obstacles to AI Adoption and Other Processes, say Reports

The rush to build artificial intelligence applications has hit a wall of poor quality data and data complexity that’s hindering them from taking advantage of the technology. Those barriers are also preventing firms from upgrading other parts of their tech stacks. A slew of surveys and comments by researchers and vendors paint a picture of...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...