Case studies

44 customers solving real data integration problems.

Healthcare, manufacturing, government, retail, telematics — every industry has its own version of the same hard problem. Pick a slice that matches yours.

Large-scale deployments

Customers running Etlworks at meaningful volume — billions of records, thousands of databases, hundreds of customer environments under one tenant.

By source / destination

Where the data comes from and where it lands. Picked one or both endpoints? Start here.

By data integration technique

Sorted by the integration pattern in play — ETL, EDI, CDC, API integration, complex workflows.

ETL, ELT, reverse ETL

Rhenus AutomotiveIntegration with Zoho Creator and internal systems. OpenGovCSV, SQL Server, and APIs into a centralized cloud system. OnPoint WarrantyS3, SFTP, APIs, and cloud storage into MySQL. QuickFeeReal-time payment processing and transactional reporting via integration agents. Community Health Plan of WashingtonETL and CDC from SQL Server and Oracle to Azure Synapse. Capital RxCloud storage, APIs, Salesforce, SharePoint, BigQuery into Snowflake. SermoHalf a billion records daily from SQL Server, Marketo, Salesforce, and Smartsheet to Redshift. U.S. SilicaOracle, SQL Server, Quickbase, and APIs into an Azure data warehouse. KyeroPostgreSQL, HubSpot, Snowflake, Google Sheets, SFTP, S3. TallinkReal-time CDC and batch ETL from MySQL, Postgres, Oracle, APIs, and files. Dayton FreightCDC streaming from AS400 and Apache Kafka into Greenplum and Postgres. Staples CanadaSQL Server and file-based sources to Google BigQuery. InflowOn-premise and cloud systems including PostgreSQL, MariaDB, ClickHouse, SQL Server. AiwynHundreds of sources, thousands of flows in real-time. VulkanFormsRemote locations into a centralized SQL database via integration agents. RecBiMultistep workflows for APIs, Salesforce, MySQL, email systems, Google Cloud. BioUrja GroupCloud migrations from databases and file-based sources to Azure. AMK CambodiaETL and CDC from Oracle and Postgres into an Oracle data warehouse. LeadingREXML and JSON to MySQL, image copying from XML to S3, OData. GEN-IMultiple SQL Server tables into Snowflake with parallel partitioning. CerebellyFlat files with orders and invoices in Sharepoint to PostgreSQL. PrymatLarge-scale SQL Server to Google BigQuery with automatic partitioning. JollyesFiles, APIs, and relational databases into Snowflake. AvenueOneReal estate APIs, SaaS apps, SQL Server, Snowflake. TradeDoublerHigh-volume XML and flat files into Amazon Redshift for analytics. PCCAOn-premise ETL with files, relational databases, and Redshift.

By industry

Customers grouped by vertical — pick the closest match to your business and see how that industry is using the platform.

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