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With over 80 data source connections, you can gather all your business data in one place in minutes. You’ll never have to worry about silos separating your CRM, database, advertising, analytics, or other business data.Request a Demo
Seamlessly scale from gigabytes to terabytes without worrying about performance or maintenance. Panoply combines a data-warehouse-as-a-service with integrated ETL pipelines in a simple management console that requires no engineering experience.Request a Demo
With Panoply, your data has the power to transform your business. Panoply prepares your data into easy-to-analyze tables and connects to all popular BI tools and analytical notebooks. From the executives to the analysts, everyone will have the most up-to-date data and the insights they need to drive your business forward.Browse BI Tool Integrations
SparkPost is an automated email delivery service that manages, monitors, and collects data for transactional email marketing campaigns. Panoply’s SparkPost integration loads the data directly from SparkPost into your own cloud data warehouse. The process takes only a few minutes, and your data is instantly available to combine and connect with any of your other data sources, all without maintaining an ELT process.
Panoply’s data analysis and reporting tools make it easier for analysts to discover more from your SparkPost data, including email marketing optimization strategies, engagement opportunities, and more. With the ability to query and generate reports from within the platform, Panoply replaces the need for a complicated and costly data infrastructure.
In any data operations, including those that involve JSON files, an ETL method is needed to upload, process, and store JSON and other related data. The Panoply JSON integration makes it easy to extract JSON data, combine it with all your other data sources, and store it in one secure location. Panoply AI-driven data pipeline speeds and manages the entire process on the only enterprise-level cloud service that combines an automated ETL with a data warehouse.