CloverDX is a data management platform best suited for IT professionals who operate in complex scenarios. If you’re dealing with large volumes of data and you need to orchestrate multi-step processes within a mixed technology stack, CloverDX covers design, orchestration and operation of complex data pipelines at enterprise scale.
CloverDX is a great fit for DevOps and agile teams who require performance and flexibility of an enterprise platform with nimble footprint and ease of configuration.
Managing CloverDX runtime infrastructure using Azure DevOps allows you to define ARM templates and then easily spin CloverDX instances up and down with Azure Pipelines. Parameters in the template let you control type, size and use of the instance.
The absolute ease of starting a new, fully configured instances changes how teams think of experiments, how well they test and how seamlessly new features make their way into production.
CloverDX Server component supports a wide range of deployment modes.
Customers run CloverDX in cloud either on reserved VM instances for continuous operation or via Container Services orchestration, or even as micro-services via Container Instances.
CloverDX also presents a great option for connecting on-premise and cloud workloads.
Here’s an example architecture of CloverDX facilitating data loads to a Data Lake and a Data Warehouse. In this case, CloverDX is orchestrating the entire process from moving the source data to the Data Lake, loading it into Staging, then transforming it into the final Data Warehouse structure.
The customer chose CloverDX to address costly and lengthy maintenance, lack of visibility into the processes and unsatisfactory performance of their previous solution built as a combination of Data Factory and stored SQL procedures.
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