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A Data Factory framework  - built entirely on Data Factory.

Our flagship framework, elemental | ADF has evolved from
our popular "Chill ETL" framework released in 2017.

With elemental | ADF your
data integration solutions will be:

  • secure

  • scalable

  • stable

  • delivered faster



Microsoft Co-selling Approved

Quickly Remove Your ADF Pain-Points

Give engineering and data-wrangling teams an Azure-native path to a more stable, more secure and robust data integration practice, hallmarked by extremely rapid delivery times.

e|ADF features

Instantly Stabilize and Secure Your Data Integrations.

Plug your existing ADF Pipelines directly into our framework using pipeline parameters. 


With no additional modifications your existing solutions are wrapped in our elemental | ADF framework, instantly enabling stabilizing capabilities such as scheduling, pipeline dependency orchestration, real-time execution and status reporting, failure/success alerts and notifications, advanced restarting and increased security and administration of your ADF Resources.

Built on
Azure Data Factory


Instant Enterprise-Grade Data Integration

Parameterized Pipelines + Metadata = Unlimited Reuse & Flexibility

Pipeline parameters and metadata-driven configurations allow teams to rapidly configure and iterate workflow configurations using our Microsoft Excel Add-in.  Repetitive tasks can now be formulaic, rapidly configured and re-configured.

Time-consuming re-configurations happen at the speed of Excel and a push to a SQL Azure metadata repository.


Metadata about to be published to elemental | ADF

Recurring Schedules in Logic Apps and Ad-hoc Executions with Power BI

Leveraging Microsoft's Logic App scheduling best practices, combined with a seamlessly integrated Power BI "Trigger Execution" report the elemental | ADF framework offers two secure mechanisms for running your workloads without requiring Contributor level access to underlying data factories.


Engineering about to trigger an ad-hoc workflow in an INT Environment from Power BI

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