Google Cloud has recently announced the launch of Datashare, a new analytics solution for financial services designed to empower the entire capital markets ecosystem; allowing for market data to be shared more securely and seamlessly. Datashare is built on Google Cloud analytics services like BigQuery and was introduced at the Google Cloud Financial Services Summit.
The proliferation of traditional and alternative data sources in financial services has created a need for a more streamlined solution for sharing information quickly and securely. Investment banks, asset managers, and other data consumers are demanding more choice in how they receive their licensed data, and they also need tools that allow them to be nimble with that data – without having to invest in costly, on-premises computing infrastructure. At the same time, data publishers, like exchanges and aggregators, are struggling to meet growing customer demand, and need to deliver their data with more ease and flexibility.
“Data publishers and data consumers are in need of processing large volumes of data from disparate sources quickly, and need access to it all in one place at the touch of their fingertips,” said David Easthope, Senior Analyst at Coalition Greenwich. “According to our research, over two-thirds of end-users of market data across the globe believe it is critical for market data providers to have improved accessibility via the cloud.”
Datashare for financial services – built on Google Cloud – addresses both market data publisher and data consumer needs by organising third-party data and making it more accessible and useful. With Datashare, data publishers can onboard their licensed datasets to Google Cloud securely, quickly, and easily, while data consumers can access that data in tools like BigQuery.
Features of Datashare include:
- Batch data delivery: This mechanism helps publishers deliver their reference data, historical tick data, alternative market data sources, and more through the use of BigQuery, ultimately reducing the administrative burden on data consumers to extract insights.
- Real-time data streaming: By using this event-based data delivery channel for rapidly changing instrument prices, tick data, orders, news, and others via Pub/Sub, data consumers can reliably process individual messages or rewind to a point in time to replay a prior market scenario and test model changes.
- Data monetisation: Market data publishers can onboard their licensed datasets to Google Cloud, and make them available via the Google Cloud Marketplace, providing new sales channels and expanding their customer reach.
Datashare Publisher Partners
To bring Datashare to life for the industry and connect more sources to potential customers, Google Cloud is working with multiple data publishers. Datashare publishers currently signed onto the solution include OneTick and Accern.
“By making our data available via Datashare, we can empower firms to easily access, share and distribute the critical time series market data needed to drive trading operations, run sophisticated analytics and meet demanding compliance requirements,” said Ross Dubin, Senior Vice President and Global Head of Sales at OneTick.
“Delivering data in a way that is clean, seamless, and inexpensive has become a challenge, as data complexity and volume increases,” added Riyaz Nakhooda, Vice President of Strategic Partnerships at Accern. “With Datashare, Accern is able to supply our clients with quality AI-generated insights on ESG, news, credit, and more at a fraction of the cost of legacy data centers.”
This launch also builds on Google Cloud’s recent momentum in working with exchanges and market data aggregators to make it easier to access and share their data with investment banks, asset managers, hedge funds, and other data consumers. These recent partnerships include CME Group, which offers its real-time market data via Google Cloud, and Refinitiv, a London Stock Exchange Group (LSEG) business that offers its tick history data on Google Cloud.
“Over the last year, market participants have realised the power of having reliable market data instantly available at their fingertips,” said Trey Berre, Global Head of Data Services at CME Group. “We are excited to see this development from Google Cloud, which will provide our customers with new capabilities to analyse and engage with our industry-leading data.”
“Our partnership with Google Cloud helps financial institutions get to the answers they need faster and more efficiently by combining Google Cloud’s machine learning tools with Refinitiv’s Tick History data in BigQuery,” said Catalina Vazquez, Proposition Director at Tick History and Refinitiv. “This model changes the paradigm for the financial community, helping them spend less time and money managing data and more time innovating and driving business performance with a competitive edge.”
“As the global data landscape continues to evolve, market data publishers need to consider cloud-based models to keep up with the demands of their customers who expect easy, flexible and cost-efficient ways to consume market data,” added Christin Brown, Global Financial Services Industry Technical Solutions Leader at Google Cloud. “Stakeholders in the ecosystem, including consumers, corporate and investment banks, asset managers, and hedge funds, are increasingly asking data publishers for data delivery via the cloud. Datashare solves this problem by making market data accessible and beneficial to both publishers and consumers.”