Make AWS Athena Faster, Easier and Better with Upsolver Data Lake ETL.
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Amazon Athena is powerful alone; with Upsolver, it’s a beast. Use a visual and SQL-based interface to easily create tables, and watch your queries run faster than you ever thought possible thanks to Upsolver’s groundbreaking ETL technology and deep integration with Amazon S3, Athena and Glue.
Performance improvements: Upsolver ingests data directly from Kafka/Kinesis and stores it on S3 in an optimized file system based on Apache Parquet. Small files are compacted under the hood with zero coding required.
Using nothing but Upsolver’s visual UI, you can choose to partition data by actual event time as well a custom field within an event stream.
Upsolver circumvents Amazon Athena’s reliance on batch processing, and enables you to query streams directly in Athena in real-time.
Add or remove columns from any Athena tables and apply these changes retroactively without missing a beat.
Create tables using raw historical data stored on S3 in one click for instant historical replay.
Familiar SQL editor allows you to create custom tables on the fly, from two or more disparate event streams.
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Enforce GDPR and other regulatory compliance by keeping track of all user records in your lake
