No-Code Data
Analytics

Say Goodbye to writing queries and adhoc scripts.
Sprinkle lets you Integrate, Model and Analyse data without writing any code

Request demo

Trusted By

Use Cases

* Build powerful dashboards without ETL directly on data warehouse
* Drag and drop interface to build interactive Dashboards without any coding
* Instant business metrics without building the OLAP cube manually
* Embed rich and interactive dashboards in your application
* Build custom dashboards for different customers with ease
* Role based access controls
* Sync data from 100+ datasources into your cloud warehouse in few clicks
* Automatic Schema discovery, Change Data Capture, incremental and snapshot ingestion
* Integrated environment to do EDA and production-ize ML pipeline from the Jupyter notebooks in single-click
* Sharing and Collaboration, Auto-scaling on Kubernetes cluster, Automatic Code and version management
* Define, test and deploy data pipelines in minutes from web console
* No need to define the data dependency rules or data partitions manually
* Bring your own code: Use your existing SQL, python, pySpark code

Use Cases

Integrate and analyze data on Athena, Redshift or Snowflake in just few clicks
Integrate and analyze data on Athena, Redshift or Snowflake in just few clicks
Integrate and analyze data on Athena, Redshift or Snowflake in just few clicks

Sprinkle at a Glance

100 billion +
Rows Ingested/Day
20 k +
Analysis/Day
5000 +
Real time Pipelines

How it works ?

1. Connect Warehouse
Configure connection to your own warehouse/data
Read more
2. Ingest
Connect to wide varietyof datasources available in few clicks.Run and schedule the ingestion job fir automatic syncing of data into the warehouse
Read more
3. Transform
Transform data directly on top of your data warehhouse using SQL,python or pySpark.
Read more
4. Reports
Define business metrics directly on tables in warehouse using Model builder UI.Use point and click interface to build report and visualizations.
Read more

Why do data teams love Sprinkle ?

Why do data teams love Sprinkle ?

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.

Rajat Jain
Analyst, Udaan

One stop solution for whole data warehousing process.

Sprinkle as a data platform stands strong.It integrates very wellwith warehouses and has ability to build data pipelines from multiple data sources.The datasource connectivity of kafka,kinesis gives ability to do realtime amalytics over sprinkle and helps end users to take data drive decisions in realtime.

Piyush Sinha
Lead Data Engineer, Yulu

Sprinkle team knows big data domain very well

We are building heterogenous compute clusters for variety of use cases:i. cloud,ii.on prem,iii. storage on cloud and compute on-prem.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

Abhishek Ranjan
Co Founder, Bigzetta systems

Really flexible,supportive in their client support

A great data integration toolwhich helped our company bring together diffrent data sources like MySQL,Mongodb,Segment and S3. It hadall we wanted from a data integration and management platform at one place.Moreover,the Sprinkle team is really supportive,flexible in their client support and always available eve for smaller questions,

Ambalika Smiti
Manager Analytics, Swiggy

Sprinkle made easy to implement projects faster in our org

With Sprinkle,we are able to sync data seamlessly from diffrent sources,build data pipelines and models on Hive Warehouse.It is a good help to our analytics team who now focus on building models instead of worrying about data.Proactive support from sprinkle makes it easy to implement projects faster in our organisation

Avinash Kumar
CTO, Aavas Financiers
and many more
Request Demo