Panoply integrates both SQL and NoSQL data from any existing DBMS. Those capabilities would not be complete without MongoDB, the most widely used NoSQL DBMS. MongoDB is known for its automatic, easily scaled data clusters. With Panoply, importing MongoDB data is as simple as a few clicks, and once there it is easily accessible from within the cloud database. It can be combined with other SQL and NoSQL data sources, and your data scientists and analysts can immediately query the data and drive actionable conclusions. The Panoply platform makes it easy to consolidate all of your data, including MongoDB, and begin drawing conclusions in minutes without any custom scripts or programming. Secure, scalable, and powerful, Panoply is an invaluable tool for making use of your stored MongoDB data and replaces the need for a large data infrastructure. Create your own MongoDB data warehouse with Panoply.
Mode Analytics makes it easy for analysts collaborate and to analyze data in SQL, R, and Python. Mode’s analyst-friendly workflow allows you to query Panoply in SQL then perform complex analytics in R and Python without changing tools. Mode also outputs to Slack for sharing and team collaboration. You can do more faster in Mode with the Panoply one-click integration. The Panoply all-in-one ETL tool expands Mode’s data processing capabilities by uploading data from any source. Panoply saves prep work time because it automatically sorts, processes, and stores all data types in one place. This fully cloud-integrated ETL pipeline continuously streams your latest cleaned data from source to output. So your charts, dashboards, and reports always display the most relevant analytics.