ETL | Data Integration | High performance, self-tuning

Modernise ETL, and integrate ALL data across the organisation

Connect integrates all data across an organisation from RDBMS, mainframe, NoSQL, the cloud, and more. Extract, sort, blend, prepare, transform, and load refined datasets to all major enterprise data warehouses and cloud data warehouses for BI and advanced analytics projects.

Perform a variety of ETL tasks with Connect such as:

Connect legacy data – mainframe, IBM i, Teradata, Netezza – to cloud platforms such as Cloudera, Snowflake, Databricks, Microsoft Synapse, and more in minutes, as discussed in Best Practices for Bringing Mainframe Data to Hadoop
Visually design workflows for both batch and streaming data in one interface
Leverage complex COBOL and mainframe copy books for metadata and interpretation
Get full insight into your data lineage for reporting and compliance even as data volumes and your data pipelines grow
Access a wide variety of analytics databases and BI platforms including Snowflake, Teradata, Vertica, Oracle, Tableau, NoSQL
Leverage the horizontal scalability of clustered compute platforms like Cloudera, Databricks, Amazon EMR, and Azure HDInsight to scale out ETL processes to handle terabytes to petabyte-scale datasets.
With high-performance ETL, Connect takes the integration load off the database and puts int back into the data integration layer, giving you better performance in your EDW and datalake.

A faster, simpler way to modernise data pipelines

Users of Connect experience significantly lower costs and complexity for developing and supporting data integration environments. Connect removes the need for costly database staging areas or manual processes. Whether on-premises or in the cloud, on a standalone server or clustered compute environment, Connect processes transformations on the fly and enables you to create data blends for consistent, sustainable performance.