Upsolver

Upsolver is a cloud-native data platform designed to empower software engineers and data teams to easily ingest, prepare, and deliver complex application data for analytics and AI in minutes, all while leveraging the scalability and cost-efficiency of an AWS-based Lakehouse architecture. The platform offers warehouse-like capabilities without vendor lock-in or the need for complex engineering workflows, enabling synchronized access to live data across analytics and machine learning targets. Upsolver’s Iceberg Table Optimizer continuously monitors and optimizes Iceberg tables, whether created by Upsolver or other tools, ensuring peak query performance and immediate cost savings. With robust connectors for databases and message queues, Upsolver provides fast, reliable, and cost-effective data replication, automatic schema evolution, large-scale deduplication, and adaptive optimization of change data. Features like real-time event processing, time travel, data replay, and seamless scaling on a decoupled architecture make Upsolver a powerful solution for maintaining high-quality, up-to-the-minute data pipelines, minimizing manual intervention, and supporting both startups and large enterprises in their analytics and AI initiatives.