Highly scalable data integration platform to make your analytics lifecycle faster and more productive.
Everyone wants a data-driven business; there seems to be more data every second. With so many ways to manipulate and store it, the path from data sources to useful business insight is getting slower, more fragmented and more siloed.
Designed to meet the dynamic demands of the modern data-driven business, the DataFlow Integration Platform by CloudGeometry provides a complete solution to data ingestion and delivery. Unlike conventional 20th century ETL tools, it’s designed from the bottom up to meet the dynamic needs of demanding analytics and data science workloads.
Built atop the StreamSets open source project (we are active contributors to the StreamSets upstream code) CloudGeometry closes the gap: flexible data intake, full lifecycle management, many-to-many data topologies, and production-grade data quality monitoring.
Our DataFlow Integration Platform has been battle-tested by clients whose business relies on continuous ingest of 3rd party data. The reality is that these data inputs — feeds, APIs, 3d-party services — frequently change without notice, choking downstream dependencies.
We integrate production-grade monitoring with tight operational discipline to post fixes without delay. We’ve seen first-hand how quickly we can solve problems with own advanced connectors and management tools, so our clients always data keep flowing.