The number of rows replicated from source to destination are counted as ingestion rows. If incremental ingestion is selected, then only changed/new rows are counted as ingestion rows.
A data source is a connection to your data source endpoint. For example if you have 2 MySQL clusters, 1 GA account, 1 FB account; then in this case there are 4 datasources.
Sprinkle supports 100+ datasources and all the popular data warehouses. Check the list of integrations for more information. If you do not find the integration you are looking for, you can write to us, we will make it available.
Yes, on-premise deployment is available in Enterprise Plan. You can deploy Sprinkle on your own servers, including AWS, Azure, or GCP.
"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."
"The data team has been able to reduce the data dependency on them. Through the self-serve analytics on Sprinkle, the business & product users are able to get the required data & visualisations with ease themselves. Once the models are set up, it is very easy for users to build on new dashboards, which is very helpful in catering to ad-hoc requests."
"The tasks like building the data pipeline, which could have easily taken up to 2 weeks, can now be achieved with Sprinkle in a day or so. The reporting tasks that could have easily taken 4 to 8 hours can be done through automation on Sprinkle in half an hour, which is a game-changer for sales."
"A great data integration tool which helped our company bring together different data sources like MySQL, Mongodb, Segment and S3. It had all we wanted from a data integration and management platform at one place. Moreover the Sprinkle team is really supportive and flexible in their client support and always available even for smaller questions."
"Sprinkle helped our analytics team to focus on building models instead of worrying about data. Proactive support from sprinkle makes it easy to implement projects faster in our organisation."