See how easy it is to connect your data using Panoply. In just a few minutes, you can set up a data warehouse and start syncing your SnapLogic data.Try Panoply for Free
Panoply automatically organizes data from SnapLogic and 30+ native data sources into query-ready tables and connects to popular BI tools like Databricks as well as analytical notebooks. From executives to analysts, your entire team will have access to the most up-to-date data and insights they need to drive your business forward.See All BI Tool Integrations
Eliminate bottlenecks caused by querying production or operational data and retain valuable historical data. Store all your data in a secure warehouse that automatically scales to meet your needs.See All Integrations
Store data from SnapLogic and 30+ native data integrations. Break down the silos separating your data to create a single source of truth your entire company can rely on.Get a Demo
SnapLogic’s ETL solution allows you to easily integrate and transform endless data sources to Panoply’s smart data warehouse with just a few clicks. Easily connect data from SnapLogic’s cloud ETL tool to leverage Panoply’s data management platform for lightning fast analytics and actionable data insights. Choose how often to pull data from your source into Panoply so you’re always up to date and in control.
Databricks Unified Analytics was designed by the original creators of Apache Spark. This paid BI tool combines data science and engineering to perform massive-scale ML data operations. It’s an integrated platform that prepares data, runs experiments, and continuously trains and builds ML models. Then Databricks deploys the AI apps you create across multiple platforms.
Expand Databricks capabilities by integrating it with Panoply with one click. Panoply is the only cloud service that combines an automated ETL with a data warehouse. With Panoply’s seamless Databricks integration, all types of source data are uploaded, sorted, simplified and managed in one place. The Panoply pipeline continuously streams the data to your Databricks output. So your models and apps are always delivering real-time analytics.