DataMorph does the Extraction, Loading, Transformation (ELT) and orchestration in a single platform, greatly simplifying your data product creation process. DataMorph provides you a visual canvas of operators and SQL snippets to create complex data pipelines and workflows. DataMorph translates these pipelines to run in Spark, the most efficient transformation engine, to get the most out of your cloud data platform and without the data team needing to learn advanced dependencies and scaling techniques.

Extract and Load data from hundreds of sources and sinks with out-of-the-box integrations.

Pre-built transformation processors accelerate deployment of complex use cases such as slowly changing dimensions, schema evolution, and real-time analytics.

Seamless integration to all Spark and orchestration runtimes including Databricks, AWS EMR, Kubernetes, Airflow, Prefect and Dagster for deployment and execution of data workflows.

DataMorph.ai

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