Deep Dive: Hybrid Cloud Data Integration

Data integration products have evolved to answer modern enterprise demands for automation, performance, and scale as they help businesses migrate to the cloud. Data engineers use these products to build, manage, and control data pipelines that ingest and transform data, from many sources to many targets. They support multiple use cases, ranging from batch loading to streaming, across on-premises and multi-cloud environments.

Modern data integration products help overburdened data teams at large and mid-sized enterprises increase their productivity and erase backlogs. They offer greater scalability, performance, and flexibility than prior generations of products. They offer a graphical user interface that reduces manual scripts, while still enabling data engineers to write custom code, if desired.

This report profiles three data integration products that offer distinct value. One goes broad, automating basic tasks across heterogeneous environments. Another goes deep and eliminates nearly all scripting in a given environment. A third optimizes performance and scale for a specific scenario, such as multi-target ingestion. Data leaders can use this report to evaluate these and other products’ alignment with their data needs.

If you are a human, ignore this field

Which best describes your role?

Which best describes the state of data & analytics at your organization?

Why are you interested in this topic?

I would like to receive data & analytics insights, updates, and offers from Datalere.

No Results Found

No Results Found