Upsolver

Upsolver unlocks the value of business data by streamlining ETL operations and automating labor-intensive data engineering work. Analysts and developers can manage complex data structures such as IoT, app activity and server logs through a visual interface and SQL. Upsolver supports data lake ingestion from streaming sources (Kafka, AWS Kinesis), databases and object storage (AWS S3, Google Cloud Storage). A variety of data lake storage best practices are applied automatically including conversion to Parquet, partitioning on S3, and merging of small files. Businesses can transform and aggregate streaming data, including nested JSON, using a simple SQL statement or visual interface. Engineers can join multiple streaming sources and historical big data for analytics ...