Upsolver's mission is to turn engineering-intensive data lakes into easy-to-use repositories that serve 50X more data professionals compared to the status-quo today. Upsolver cuts 95% from the tedious process of preparing event data for analytics and machine learning, using a visual SQL-based interface, a cloud-native data platform and deep technology for stream-processing, indexing and eventually-consistent file systems.
| Product | Market Share (%) |
|---|---|
| Upsolver | 0.3% |
| Informatica PowerCenter | 6.3% |
| SSIS | 5.9% |
| Other | 87.5% |
| Author info | Rating | Review Summary |
|---|---|---|
| Technology Leader at eTCaaS | 4.5 | As a consultant, I use Upsolver to efficiently handle data engineering for financial service clients worldwide. Its strengths lie in rapid data movement and scalability, although query tuning could improve. Previously, I used Snowflake and other ETL tools. |
| Technical VP Consultant at Paradigm / nClouds | 4.0 | I tested Upsolver for data streaming and ingestion, finding it user-friendly with a drag-and-drop interface and effective in ETL and data aggregation. While it lacked some features initially, it surpassed competitors with real-time ingestion capabilities. |
