Goldman Sachs Launches its Financial Cloud for Data in Partnership with Amazon Web Services

Goldman Sachs in collaboration with Amazon Web Services has launched its Financial Cloud for Data, a new suite of cloud-based data and analytics solutions for financial institutions.

Called the Goldman Sachs Financial Cloud for Data, the new solution will help financial institutions to discover, organize, and analyze data in the cloud, thereby gaining rapid insights and driving informed investment decisions. Institutional clients will benefit from decades of Goldman Sachs experience to address data management and analytics challenges.

The collaboration between Goldman Sachs and AWS will vastly reduce the need for investment firms to develop and maintain foundational data-integration technology, and lower the barriers to entry for accessing advanced quantitative analytics across global markets. Goldman Sachs institutional clients will be able to accelerate time to market for financial applications, optimize their resources to focus on portfolio returns, and innovate faster. Users of the Goldman Sachs Financial Cloud for Data will also benefit from more streamlined and secure access to best-in-class financial data from Goldman Sachs.

“Goldman Sachs has always led by building technology to serve the most sophisticated financial institutions,” said David Solomon, Chairman and Chief Executive Officer of Goldman Sachs. “Today, we are redefining the future of cloud for financial services as we enable developers to focus on building financial solutions for their customers. We are excited to bring together the two leading firms in financial services and cloud computing to deliver an unparalleled solution for financial data management and analytics on the cloud, revolutionizing how our clients extract value from the increasing wealth of information in our industry.”

Goldman Sachs Financial Cloud for Data is a cloud-native financial data management and analytics solution for hedge funds, asset managers and other institutional clients. It significantly increases the power of Goldman Sachs front-office analytics tools, such as PlotTool Pro, a leading time series analytics tool from Goldman Sachs, and GS Quant, the firm’s Python toolkit. Clients can seamlessly and securely integrate their proprietary data alongside Goldman Sachs curated financial markets data, including select third-party data products through Goldman Sachs Financial Cloud for Data’s integration with AWS Data Exchange, a service that makes it easy to find, subscribe to, and use third-party data in the cloud.

The data is then available in Goldman Sachs’ securely managed time-series database and analytics engine, which is capable of storing and integrating tick-level financial data across hundreds of different assets in real-time. As a result, it is now easier for developers to analyze a diverse range of financial datasets consistently and at scale using the latest quantitative techniques, accelerating the time to get value to market. Components of Goldman Sachs Financial Cloud for Data are also compatible with Amazon FinSpace, an AWS service that makes it easy to combine and analyze data from multiple sources, such as position data from data warehouses or lakes.

“With Goldman Sachs Financial Cloud for Data, we are lowering the barrier to entry so more financial services institutions can leverage advanced, near-real time analytics in the cloud,” said Adam Selipsky, CEO of Amazon Web Services, Inc. “Combining Goldman Sachs’ data and over a century of financial services knowledge with the reliability, security, and industry expertise of AWS will reimagine financial services technology and put developer-focused, cost-efficient technologies in the hands of all organizations.”