Offerings
Sparkflows offers diverse solutions for AI, Generative AI, and data engineering.
With ready-to-use vertical use cases, businesses can implement these technologies quickly and effectively.
Cloud Migration Offering
Migrating to the Cloud encompasses multiple steps. A primary step involves transferring data from on-premises systems to the Cloud. Additionally, it is essential to adapt existing business logic and transformations to modern technologies, including Apache Spark, Snowflake, Databricks, AWS Data Lake, Azure Data Lake, GCP Lakehouse, and HPE Data Lake.










Current Scenario



Migrating Jobs to Apache Spark & Snowflake is a Cumberstone
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Migrating jobs from Datastage, Teradata, Informatica, and similar platforms to Apache Spark and Snowflake is performed manually, one at a time.
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Finding skilled PySpark developers who also have a strong understanding of the source system is quite challenging.

Transferring data to the cloud can be complicated
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Migrating data to the cloud is messy, migration involves large datasets, schema changes, Data cleanup and transforms, and finally written to the target system.
Sparkflows offers a solution for migrating data to platforms like Databricks, Snowflake, and more

Build Workflows with Sparkflows
Developers effortlessly create workflows using Sparkflows' drag-and-drop feature.

Convert to PySpark / Snowpark code with one click
Workflows can be transformed into open-source Spark code or Snowpark code with just one click using Sparkflows.

Directly use the PySpark / Snowpark code in Databricks
You can now utilize the PySpark/Snowpark code directly within Databricks, Snowflake, and other platforms.

Build Connections to Source and target Systems
Build Connections to Source and target Systems in Sparkflows.

Build Workflows to move the Data
Develop workflows to transfer the data, modify it, cleanse it, and finally input it into the target system.

Schedule / Execute the Workflows
Develop or execute the processes to migrate data from the source systems to the target systems in the cloud.

Sparkflows supports CDC
Sparkflows enables Change Data Capture (CDC) for the incremental transfer of data
from source to target systems.
Sparkflows Benefits

Migrate Petabytes of Data
Easily migrates petabytes of data to Cloud

Validate Data Migration
Easily validates the migrated data with Jobs and Dashboard
15X
15X faster Spark Code
With workflows code the Sparkflows code 15X faster

Make ETL developers Productive
Any ETL Developer can build the business logic in Spark
Sparkflows Differentiators

Watch Video
Learn more about Sparkflows integration with various cloud providers