Datashare provides three ways to distribute and consume your data
Batch data delivery
Datashare provides a batch data delivery mechanism for reference, historical tick, and alternative market data sources via BigQuery cloud-based delivery.
Real-time data streaming
Real-time streaming data delivery for rapidly changing instrument prices, quotes, orders, news, and others via Pub/Sub.
Monetize your data
Data publishers can onboard their licensed datasets to Google Cloud by making them available on Google Cloud Marketplace.
Exchange and monetize historical and real-time market data securely and easily
Dataflow supports reliable, expressive, exactly-once processing of Pub/Sub streams.
Instant data lake
Ingest and transform input files with simple JSON configurations and SQL, all accessed through BigQuery.
You don’t need to be a data engineer to manage a pipeline.
Granular runtime access control
Datashare helps data publishers create BigQuery-authorized views for their datasets and apply access control for their customers.
Please see the diagram below that outlines how you can share your batch and real-time data directly to your Google Cloud customers with BigQuery and Pub/Sub.
Explore our resources for Datashare
Get started with deploying Datashare
Deploy Datashare to your Google Cloud project today (account needed).
Follow this tutorial to learn how Datashare can help publishers share their datasets with their customers and partners.
Access the Datashare Toolkit source code on GitHub.
Solution value sheet
See how Datashare can help you exchange and monetize historical and real-time market datasets, securely, easily, and at scale.