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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.

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Current Scenario

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Migrating Jobs to Apache Spark & Snowflake is a Cumberstone
  • Migrating jobs from Datastage, Teradata, Informatica, and similar platforms to Apache Spark and Snowflake is performed manually, one at a time.

  • Finding skilled PySpark developers who also have a strong understanding of the source system is quite challenging.

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Transferring data to the cloud can be complicated
  • 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.

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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.

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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.

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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

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Make ETL developers Productive 

Any ETL Developer can build the business logic in Spark

Sparkflows Differentiators

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Watch Video

Learn more about Sparkflows integration with various cloud providers

Learn More

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