Sprinkle Pipeline is a good alternative to Stitch due to its no-code data engineering capabilities and ability to host on your own servers.
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Your pipeline is scattered across multiple tools, stitch doing the ingestion, transformations are executed via Airflow, data is stored in data lake and warehouse. It becomes very difficult to do impact analysis going thru logs of so many systems.
For data replication, there is a round-trip from your datasource servers to your data warehouse via the Stitch servers. This leads to data egress cost charged by cloud providers.
If you want to have full control for reasons like compliance, you cannot host Stitch on your own servers. Stitch offers only SaaS deployment model.
Stitch provides only data ingestion with very basic transformation capabilities. For any production grade transformation pipelines, you have to integrate and manage different tools like Airflow, and have to optimise transformations using custom coding in python or pyspark.
For debugging and also for building quick reports, you have to rely on different tools.
"Swiggy’s hyperlocal time-critical business model requires quick and accurate insights.Therefore, most business and product teams need to do analyses by themselves. To make this happen, we needed a no-code analysis platform that was feature-rich and easy to use at the same time. Sprinkle has served that purpose very well for us. Today, we have hundreds of business and product users running thousands of analyses every month without the need for any analysts."
