Amazon Athena is the go-to for querying Kinesis data stored on S3, but querying high volumes of raw event data can be complex and expensive.
Upsolver lets you instantly launch a continuous data pipeline that transforms data from Kinesis and writes it to analytics-ready Athena tables, while storing your data as optimized Parquet on Amazon S3 and automating all data lake best practices.
Forget complex Scala coding and stop struggling with Airflow workflows. With Upsolver, building high-performance data infrastructure is as simple as SQL.
Upsolver makes all your biggest data engineering pains disappear: from exactly-once processing to dealing with small files to joining two streams in-flight.
“We want to minimize the time our engineering teams, including DevOps, spend on infrastructure and maximize the time spent developing features. Upsolver has saved thousands of engineering hours and significantly reduced total cost of ownership, which enables us to invest these resources in continuing our hypergrowth rather than data pipelines.”
Seva Feldman, VP of R&D