Upsolver SQLake is a cloud-native platform for continuous ingestion, transformation and optimization of streaming and batch data delivered to your Iceberg lakehouse, data warehouse and other popular analytics systems.

With only SQL, users develop, test and deploy pipelines in minutes instead of weeks. SQLake automates time-consuming tasks such as job orchestration and scheduling, file system optimization, data retention and the scaling of compute infrastructure.

Key capabilities:

CONNECT: With only a few clicks or lines of SQL, connect and replicate data from popular streaming, file and database sources like PostgreSQL, SQLServer and Kinesis to Iceberg or warehouse tables.

ICEBERG LIVE TABLES: Simply define the transformations to perform on the data and Iceberg Live Tables manages task orchestration, scaling, data quality validation, schema evolution and file system optimization.

ADAPTIVE ICEBERG OPTIMIZER: Connect Upsolver to your existing Iceberg lakehouse and see query performance increase while storage costs decrease, without lifting a finger. Adaptive Optimizer profiles data files and write patterns to determine which files, how frequently and what technique to use to optimize for best possible results.

DATA OBSERVABILITY: Automation often creates a blind spot, but not with Upsolver. Built-in task monitoring and data observability allows engineers to alert on and pinpoint operational and data related issues like volume changes, data value drift and schema evolution.