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Unifi vs Upsolver comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Unifi
Ranking in Data Integration
57th
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
2
Ranking in other categories
Data Governance (40th), Data Preparation Tools (7th)
Upsolver
Ranking in Data Integration
37th
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
3
Ranking in other categories
Streaming Analytics (20th)
 

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of Unifi is 0.7%, up from 0.2% compared to the previous year. The mindshare of Upsolver is 0.6%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Upsolver0.6%
Unifi0.7%
Other98.7%
Data Integration
 

Featured Reviews

Doug Isabelle - PeerSpot reviewer
Owner at Doc-IT
Good management and pricing but not great for enterprise environments
In a high-density location, we're running into connectivity drops. There may be too many rouge devices broadcasting, and the devices is getting interference from another channel. The only to fix this is to reboot and we need something that reboots on the fly. We also need better security for VLANs and VPNs. There are issues with certain Apple devices. Technical support is not very helpful. The initial setup, which seemed straightforward at first, had to be redone. This may not have been the fault of the product. We're not sure what went wrong.
reviewer2784462 - PeerSpot reviewer
Software Engineer at a tech vendor with 10,001+ employees
Streaming pipelines have become simpler and onboarding new data sources is now much faster
One of the best features Upsolver offers is the automatic schema evolution. Another good feature is SQL-based streaming transformations. Complex streaming transformations such as cleansing, deduplication, and enrichment were implemented using SQL and drastically reduced the need for custom Spark code. My experience with the SQL-based streaming transformations in Upsolver is that it had a significant positive impact on the overall data engineering workflow. By replacing custom Spark streaming jobs with declarative SQL logic, I simplified development, review, and deployment processes. Data transformations such as parsing, filtering, enrichment, and deduplication could be implemented and modified quickly without rebuilding or redeploying complex code-based pipelines. Upsolver has impacted my organization positively because it brings many benefits. The first one is faster onboarding of new data sources. Another one is more reliable streaming pipelines. Another one is near-real-time data availability, which is very important for us. It also reduced operational effort for data engineering teams. A specific outcome that highlights these benefits is that the time to onboard new sources is reduced from weeks to days. Custom Spark code reduction reached 50 to 40 percent. Pipeline failures are reduced by 70 to 80 percent. Data latency is improved from hours to minutes.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The controller makes it easy to control everything from one platform. The management is easy."
"It's easy to manage and support the user, our guests, and our customers if they have a problem."
"It was easy to use and set up, with a nearly no-code interface that relied mostly on drag-and-drop functionality."
"The most prominent feature of Upsolver is its function as an ETL tool, allowing data to be moved across platforms and different data technologies."
"Customer service is excellent, and I would rate it between eight point five to nine out of ten."
"A specific outcome that highlights these benefits is that the time to onboard new sources is reduced from weeks to days, custom Spark code reduction reached 50 to 40 percent, pipeline failures are reduced by 70 to 80 percent, and data latency is improved from hours to minutes."
 

Cons

"There are issues with certain Apple devices."
"It's stable, but it depends on the office and location."
"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."
"I think that Upsolver can be improved in orchestration because it is not a full orchestration tool."
 

Pricing and Cost Advice

"There is no license. The solution is free."
"Upsolver is affordable at approximately $225 per terabyte per year."
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Top Industries

By visitors reading reviews
Retailer
12%
Comms Service Provider
10%
Financial Services Firm
10%
Manufacturing Company
10%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

Ask a question
Earn 20 points
What is your experience regarding pricing and costs for Upsolver?
Upsolver is affordable at approximately $225 per terabyte per year. Compared to what I know from others, it's cheaper than many other products.
What needs improvement with Upsolver?
There is room for improvement in query tuning. Upsolver could do a more in-depth analysis in employing machine power, such as CPU and memory, to enhance query performance. Furthermore, allocating C...
What is your primary use case for Upsolver?
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....
 

Comparisons

 

Overview

 

Sample Customers

Big Incites, Cloudera, Flywheel Data, Hortonworks, MapR, Platfora, Qlik, Tableau Software, zData Inc.
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Find out what your peers are saying about Unifi vs. Upsolver and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.