BigQuery allows companies to perform analytics on very large read-only data sets stored within the Google Cloud. Being able to seamlessly access BigQuery data will empower Panoply customers to take this data, combine it with other data sources, and be able to query all the data in one place, which is crucial for data mining. BigQuery’s integration with Panoply lets you not only ingest any data source into one automated cloud data warehouse, but you can also analyze it with any visualization tool you need to get lightning fast insights.
The QuickSight pay-per-use BI tool makes data analytics accessible to enterprises of all sizes. By using QuickSight’s built-in machine learning, you can create interactive dashboards to share with your teams. It delivers business insights to your apps on any device. This user-friendly analytic platform scales automatically from 10 to 10,000 users. With QuickSight’s APIs, you can embed self-service analytics in your apps and seamlessly authenticate the users who need access. Its SPICE in-memory calculation engine lets thousands of users do complex analytics at the same time, while it protects your source data. QuickSight uploads data from the cloud and on-premises from many third-party data sources, databases, and AWS services. But you can connect QuickSight to any data source with the Panoply integration. The all-in-one Panoply ETL continuously uploads, processes, and streams all your data types. This powerful automated ETL pipeline is fully integrated with a cloud data warehouse.