Tableau is complex to use. Requires Tableau developers to maintain and make any changes. Sprinkle is easy to use. It can be used by non-Technical users for self-serve data analysis. Non-technical users can create their own dashboard and reports.
Work on all the data from summarize views to easily drilling-down to granular data points
Tableau has no or very limited data transformation capabilities. Sprinkle allows users to create transformation pipelines in SQL and python. Sprinkle has inbuilt support for Real time incremental data pipelines.
Easy understanding of product is a top-most requirement and it takes very less amount of time for a user to get familiarized with basics in sprinkle. Product gives multiple option to users to get and analyze the data either using segments or custom queries. Integration with external products and dashboards is super easy.
Sprinkle integrates very well with warehouses and has ability to build data pipelines from multiple data sources. The datasource connectivity of kafka and kinesis gives ability to do realtime analytics over sprinkle and helps end users to take data driven decisions in realtime.
We are building heterogenous compute clusters for variety of use cases for Cloud and on-premise. Sprinkledata is able to handle all these various scenarios with supreme ease. There customer support is phenomenal and helped us debug some of the anomalies we ran into.
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.