Azure Data Factory vs Sprinkle Pipelines

Azure Data Factory Alternative:
Sprinkle Pipeline, a No-Code ETL tool

Sprinkle Pipeline is a good alternative to Azure Data Factory due to ease of use and support for large number of integrations

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If you are currently using Azure Data Factory, you might face following problems

Complex to setup

Azure Data Factory(ADF) is quite complex and require technical expertise to setup data pipeline.

Limited integrations

ADF supports very limited integrations primarily to only Azure ecosystem. Requires coding to integrate any non-supported data sources.

No Realtime support

Setting up realtime is not possible. No support for managing incremental transformations and partitions.

Difficult to debug data discrepancy issues

Debugging and finding reasons for data discrepancy related issues is quite cumbersome, and requires lot of developer's bandwidth.

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

The core technology of Sprinkle is a semantic layer that includes Ingestion, transformation, exploration and cataloging, 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.
Sprinkle Pipelines
Azure Data Factory
Full Table Replication using SELECT
Incremental Replication using Change Data Capture
Only SQL Server
Incremental Replication using SELECT and replication keys
Database Connectors
SaaS Connectors
No-Code Pipeline Setup
Incremental Transforms with Partition management
Automatic Dependency management
SQL Data Exploration
Data Lineage
Deployment : SaaS
Deployment : Self-Hosted
Out of the box Integration with GitHub for version control
Starts at $100/month for 5 million rows
$0.27/Hour/vCore + Data Operations charges

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
Swiggy logo

Sprinkle helped us reduce the data dependency on engineering team

"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."

Jaideep Dhok
Head Data Engineering, Yulu

Building of data pipeline can be done in no time with Sprinkle

"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."

Sneha Saha
Lead Data Engineer, Byju's

Really flexible,supportive in their client support

"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."

Ambalika Smiti
Manager Analytics, Swiggy

Sprinkle made easy to implement projects faster in our org

"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."

Avinash Kumar
CTO, Aavas Financiers