Infoworks

There are many visual coding tools that can help you on your big data and cloud journey. The problem? Point tools don’t automate the entire data engineering process…

The Infoworks difference?

End-to-end automation is the key to our agile data engineering platform

The Infoworks Autonomous Data Engine automates data engineering and dataops for end-to-end big data workflow processes from ingestion all the way to consumption. Our customers implement to production in days using 5x fewer engineering hours.

Data ingestion automation Infoworks provides a no-code environment for configuring the ingestion of data (batch, streaming, change data capture) from a wide variety of data sources. We use native connectors when possible to provide the highest speed of data ingestion feasible and ingest source data in a high-performance, parallel process, while automatically preserving data precision.

Automated metadata synchronization Our agile data engineering platform automatically crawls data sources, including flat files, XML, JSON and relational databases. The solution learns the metadata and infers data relationships for the ingested data from external data sources as well as for data sets created using Infoworks, making metadata searchable via a metadata repository.

Automated data synchronization Source data is continuously synchronized with data in your data lake using log and query-based methods for change data capture. Infoworks automatically handles slow changing data and schema changes and supports streaming, batch and incremental mode of data synchronization and export.

Learn more about our capabilities by visiting our website or scheduling a demo.