Connect: ETL from Cluster to Cloud

High performance and scalable data integration for all enterprise platforms.

Modernize ETL, integrate ALL data across the organization

Connect integrates all data across an organization 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, Db2, Teradata, Netezza – to cloud platforms such as Cloudera, Snowflake, Databricks, Microsoft Synapse, and more in minutes
• Visually design workflows for both batch and streaming data in once 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 process to handle terabytes to petabyte-scale datasets

A faster, simpler way to modernize data pipelines

ETL processes are an integral part of any business’s data pipeline. However, traditional ETL tools cannot keep up with the growing volume and variety of data that is the norm in today’s enterprise. As a result, organizations are wasting valuable resources on manual tuning or pushing transformations down to the database.

Read the full solution sheet to learn more.