Getting your data from BigQuery to Redash can be a pain. Managing pipelines for all your data sources just isn’t sustainable, but your reporting can’t be put on hold while you wait for IT or Engineering to get to your ticket.
With Panoply, you can eliminate that hassle—and all that wasted time. Set up code-free connections to both BigQuery and Redash with just a few clicks. Then Panoply will automatically sync your data so it’s ready to analyze when you are.
It’s that simple: Unblock your data with Panoply.
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.
Learn more:
Documentation
BigQuery Data Warehousing
BigQuery Business Intelligence
With Redash, you can write queries and display the results on sharable dashboards and visualizations. In its built-in SQL editor, you can create reusable code snippets and schedule alerts and data refreshes. This BI tool designed for developers has an easy clickable or drop-and-drag user interface. Redash was created by the open source community and now has both paid and open source options. It currently connects to 8 integrations and over 50 databases. Support your Redash data work with the power of an enterprise-level ETL by adding the Panoply integration. The Panoply AI-driven pipeline is the only fully integrated cloud service that combines an automated ETL with a data warehouse. It securely and quickly processes data from any source. And Panoply refreshes your output with the latest cleaned data continuously, not just at scheduled times.
Start syncing your data to now. Free 21-Day Proof of Value.