In adtech you have to run fast to win.
With Upsolver you can build streaming analytics in days.
The low cost of a data lake makes it attractive for all sorts of analytics workloads. This is especially true for adtech use cases, where the speed and scale drives significant cost. But data lakes have been notoriously difficult to engineer, requiring hand-coding and complex configuration.
Upsolver’s no code data lake engineering platform shields you from the complexity of the data lake. Anyone with some SQL knowledge can build, test and deploy an analytics pipeline in days. Compare this to the months required to hand code, debug and deploy data lake jobs using Spark, Scala and Airflow.
Adtech may be the most data intensive industry out there and we were built to address those requirements such as trillions of rows, millions of events per session, and high cardinality data sets.
Upsolver lets you build analytics in days, with no complex coding or configuration. We’ve automated the things that make data lake engineering hard so that you can use native connectors, drag-drop operations and SQL to build your analytics pipelines.
Your cloud data lake holds the promise of affordable analytics. Upsolver unlocks that value by making your data lake perform like your data warehouse at a fraction of the cost.