Try our new research platform with insights from 80,000+ expert users
Upsolver Logo

Upsolver Reviews

Vendor: Upsolver
4.3 out of 5
Start review

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.

Get the Data Integration Buyer's Guide and find out what your peers are saying about Upsolver, Rivery, Striim and more!
Upsolver is the #17 ranked solution in Streaming Analytics tools and #37 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 Rivery: Upsolver vs Rivery.
Buyer's Guide
Data Integration
February 2025
Get the category report
Helped 842,651 peers since 2012

Upsolver mindshare

Product category:
Data Integration
As of March 2025, the mindshare of Upsolver in the Data Integration category stands at 0.1%, down from 0.1% 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."

Pricing

  • "Upsolver is affordable at approximately $225 per terabyte per year."
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Data Integration Buyer's Guide for additional reliable information.

Compare Upsolver with alternative products

Go!

Learn more about Upsolver

Related questions

  • 33
When evaluating Data Integration, what aspect do you think is the most important to look for?
  • 59
Microsoft SSIS vs. Informatica PowerCenter - which solution has better features?
  • 267
What are the best on-prem ETL tools?
  • 215
Which integration solution is best for a company that wants to integrate systems between sales, marketing, and project development operations systems?
  • 483
Experiences with Oracle GoldenGate vs. Oracle Data Integrator?
  • 20
Should we choose Data Hub or GoldenGate?
  • 8
What are the must-have features for a Data integration system?
  • 71
Is there a bulletproof KPI Data Manager for SME?
  • 5
A recent review wrote that PowerCenter has room for improvement. Agree or Disagree?
  • 337
Python with Numpy/Scipy vs. Pure C++ for Big Data Analysis

Product Categories

Product Categories
Data Integration
Streaming Analytics

Popular Comparisons

Popular Comparisons
Rivery vs Upsolver Logo
Rivery vs Upsolver
Striim vs Upsolver Logo
Striim vs Upsolver
See all alternatives
 

Upsolver reviews

Sort by:
Snehasish Das - PeerSpot user
Technology Leader at eTCaaS
Verified user of Upsolver
Dec 30, 2024
Allows for data to be moved across platforms and different data technologies

Pros

"The most prominent feature of Upsolver is its function as an ETL tool, allowing data to be moved across platforms and different data technologies."

Cons

"There is room for improvement in query tuning."

What is our primary use case?

I am working as a consultant and currently have my own consultancy services. I provide services to companies that are data-heavy and looking for data engineering solutions for their business needs. 

We primarily serve financial service customers in India and around the globe. We use Upsolver as an ETL tool to move data from different sources into one destination quickly and at scale.

What is most valuable?

The most prominent feature of Upsolver is its function as an ETL tool, allowing data to be moved across platforms and different data technologies. Upsolver does this in a quick time, unlike traditional processes which are time-consuming. 

Additionally, it offers scalability for large volumes of data, with performance and ease of cloud-native integration.

*Disclosure: My company has a business relationship with this vendor other than being a customer: consultant
Read full review (526 words)
Kireet Kokala - PeerSpot user
Technical VP Consultant at Paradigm / nClouds
Verified user of Upsolver
Aug 27, 2024
Provides ETL tools with stability at a competitive price

Pros

"It was easy to use and set up, with a nearly no-code interface that relied mostly on drag-and-drop functionality."

Cons

"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."

What is our primary use case?

When I test-drove Upsolver for a consulting company, I used it in POC to stream and ingest data. The goal was to move data from a source, possibly SQL Server, into a destination like Snowflake or Redshift. The POC aimed to evaluate Upsolver against StreamSets, the competition for ETL tasks. The use case involved data aggregation, ingestion rules, landing data into a data lake, and handling ETL processes for a data warehouse.

How has it helped my organization?

It has simplified prices, time to set up, and ease of use.

*Disclosure: I am a real user, and this review is based on my own experience and opinions.
Read full review (403 words)