Upsolver revolutionizes the way you work with cloud data. By providing a self-service, high-speed compute layer between your data lake and the analytics tools of your choice, Upsolver automates menial data pipeline work, so you can focus on developing analytics and real-time applications.
faster queries against cloud storage (S3)
Improvement in data freshness
reduction in data lake engineering time
Solve your most difficult data processing challenges in just a few clicks: data ingestion, performance optimization, real-time processing and upserts into cloud storage.
e.g., Amazon Kinesis, Apache Kafka, Amazon DMS
e.g., Amazon Athena, Amazon Redshift, Apache Presto
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Browsi replaced Spark, Lambda, and EMR with Upsolver’s self-service data integration.Read case study
ironSource operationalizes petabyte-scale streaming data.Read case study
Peer39 chose Upsolver over Databricks to migrate from Netezza to the Cloud.Read case study
Build working solutions for stream and batch processing on your data lake in minutes.