Superset vs Sprinkle Analytics

Superset Alternative:
Sprinkle Analytics, a no-code data analytics tool

Sprinkle Analytics is a good alternative to Superset due to its ability to join data across multiple sources, data integration and transformation capabilities.

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If you are currently using Superset, you might face following problems

Unable to join data across multiple data sources

Superset builds the report by executing query on a single datasource at a time, so you cannot join data from multiple sources to build a coherent report

Inflexible for business users

Superset interface is simple to use by business users, but very limited in capability. Business users have to work with SQL queries saved by data team. Any different ask leads to dependency on data team to create a different query.

Limited Datasources

Superset provides datasource connectors to primarily SQL databases. If you want to connect and integrate with other kind of datasources, you have to write custom scripts.

Slow reports and difficult to maintain SQL queries

The time taken to manage the SQL queries and tune them keeps increasing.

No data preparation layer in python or SQL

Superset does not have a data preparation and transformation layer. You have to rely and integrate with several other tools.

If you face the problems above, then Sprinkle might be a suitable alternative for your organisation.

Superset provides you only the visual layer. Sprinkle offers additional data preparation and ELT capabilities. The core technology of Sprinkle is a semantic layer that includes Ingestion, transformation, and data modelling, that runs on top of your own infrastructure. This allows data teams to collaborate and work across the entire lifecycle of data, without writing any code. The data modelling layer allows you to create rich OLAP on your data warehouse, enabling non-technical users to do drag-and-drop analysis on their own.
Sprinkle Analytics
Superset
No-code data exploration for non-technical users
Dashboards
SQL Reports
Drag-and-Drop Reports
Dynamic Drill-Downs
Metric Alerts
Embedded Dashboards
Embedded Report Builder
SQL Transforms
Python Transforms
Version Control - GitHub
Join data across multiple sources
Data Ingestion
Datasources
100+
20+
Catalog and Tags
Granular Access Controls
SaaS (Preset)
Self Hosting
Open Source

Why customers love us ?

David Zakkam By Swiggy

Sprinkle help us run thousands of analyses without any analysts

"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."

David Zakkam
VP Analytics, Swiggy
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