Definitive Guide on "How to Select the Right Data Warehouse?" Click here ->
Creators have the ability to create, manage and analyze datasets. There are multiple kind of Creator roles with varying permissions - Admin, Data Engineer, Analyst, Business User
Viewers have the ability to to only view dashboards, apply pre-configured filters in the dashboards.
Model is a multi-dimensional view of the table. Model aids in drag and drop analysis without writing any SQL query. It can be configured with a simple point and clicks user interface. Read more
Yes. You can ingest data from multiple sources into a single database using Sprinkle Pipelines. Then, you can join data from using SQL or Model Builder UI. You can create derived tables from multiple sources using Sprinkle transformations.
Your data is stored in your own Data Warehouse. You can connect your own Data warehouse like MySQL, Postgres, Redshift, BigQuery, Azure etc. Incase you don't have a Database, you can choose Sprinkle managed Data Warehouse (built on Google Big Query).
Yes, on-premise deployment is available in Enterprise Plan. You can deploy Sprinkle on your own servers, including AWS, Azure, or GCP.
You can integrate data from 100+ supported integrations using Sprinkle Pipelines. 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.
"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."
