Upsolver Reviews

Name: Upsolver
Brand: Upsolver
Rating: 4.3 (2 reviews)

4.3 out of 5

2 reviews
100% willing to recommend

What is Upsolver?

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.

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Upsolver is the #18 ranked solution in Streaming Analytics tools and #38 ranked solution in top Data Integration Tools. PeerSpot users give Upsolver an average rating of 8.6 out of 10. Upsolver is most commonly compared to Databricks: Upsolver vs Databricks.

Buyer's Guide

Data Integration

June 2025

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Helped 860,711 peers since 2012

Upsolver mindshare

Product category:

As of July 2025, the mindshare of Upsolver in the Data Integration category stands at 0.2%, up from 0.0% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Data Integration

Key learnings from peers

Valuable Features

"Customer service is excellent, and I would rate it between eight point five to nine out of ten."
"The most prominent feature of Upsolver is its function as an ETL tool, allowing data to be moved across platforms and different data technologies."
"It was easy to use and set up, with a nearly no-code interface that relied mostly on drag-and-drop functionality."

Room for Improvement

"On the stability side, I would rate it seven out of ten. Using multiple cloud providers and data engineering technologies creates complexity, and managing different plugins is not always easy, but they are working on it."
"There is room for improvement in query tuning."
"Upsolver excels in ETL and data aggregation, while ThoughtSpot is strong in natural language processing for querying datasets. Combining these tools can be very effective: Upsolver handles aggregation and ETL, and ThoughtSpot allows for natural language queries. There’s potential for highlighting these integrations in the future."