Panoply.io vs. Stitch vs. Improvado

Improvado automates the annoying parts of data management. With Improvado, marketers are no longer at the mercy of non-scalable manual processes. Costly and valuable developer time is now freed up, no longer from having to create interfaces, host and maintain databases, normalize data, and visualize reports.

Panoply.io is a cloud data platform providing ETL and data warehousing services for individuals and teams.

Its integration functionality is pretty standard, allowing users to connect data from multiple sources and control how it is collected. For instance, you can manage your destinations, primary and incremental keys, schemas, and how the system handles nested data.

The platform also supports User Defined Functions (UDFs), enabling users to perform advanced data manipulations. 

The platform's data warehousing solution makes it a valuable option for users new to data management as they wouldn't need to worry about setting up and connecting to external data warehouses, especially if they're small or medium-sized businesses with minimal data needs. For users who already house their data in external warehouses like RedShift and BigQuery, Panoply.io can connect data sources and deliver them to these destinations. However, this process requires some technical maneuvering.

Panoply.io offers integration with BI and visualization tools so users can generate insights, attribute ROI, and make data-driven decisions faster.

Stitch Data is a cloud-first, open-source ETL platform that enables business teams to rapidly and securely move data from multiple sources to designated data warehouses for fast and efficient analysis.

The platform is an integral part of the Talend Data Fabric, providing prebuilt connectors to over 100 databases and SaaS applications, with support for leading data warehousing platforms like Snowflake, RedShift, BigQuery, and Azure Synapse Analytics.

Stitch Data offers a simple interface with ready-to-query schemas designed to accelerate the process of onboarding and extracting insights from new data sources.

The platform, as stated in one of its documentation pages, does not support user-defined data transformation. This means that you can’t carry out advanced data transformation processes on the platform. It does support and automate a few basic preload transformation processes, like JSON structures, data typing, object names, etc., but these are only sufficient for light- and medium-duty data warehousing needs. Advanced data transformation capabilities can only be accessed by signing up on Talend, Stitch Data’s “parent platform”.

The platform is also compliant with major security protocols, including SOC-2 and HIPAA.