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SnapLogic vs Upsolver comparison

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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

SnapLogic
Ranking in Data Integration
5th
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
62
Ranking in other categories
Process Automation (4th), API Management (4th), Cloud Data Integration (5th), Integration Platform as a Service (iPaaS) (3rd)
Upsolver
Ranking in Data Integration
39th
Average Rating
8.6
Reviews Sentiment
7.6
Number of Reviews
4
Ranking in other categories
Streaming Analytics (22nd)
 

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of SnapLogic is 1.5%, up from 1.2% compared to the previous year. The mindshare of Upsolver is 0.7%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
SnapLogic1.5%
Upsolver0.7%
Other97.8%
Data Integration
 

Featured Reviews

AR
Integration Consultant at a consultancy with 1,001-5,000 employees
Low-code integrations have automated workflows and save time across enterprise applications
They can enhance the error handling and debugging part. Troubleshooting complex pipeline failures can be time-consuming. We are spending a lot of time on error handling. More detailed error messages and root cause analysis tools can be added, which will definitely improve the developer experience. In the Ultra real-time integrations, we can monitor the last execution history of only 100 runs. That can be increased, which would be one of the platform improvements that can really be taken. However, they are doing very well because lots of ChatGPTs and AI assistants have been added in the last two years, which makes a very good effect. SnapLogic is the only platform that provides this kind of visibility to the developers. Anyone, even if they have low experience and are starting their IT careers, can directly jump in and learn SnapLogic. The documentation is very easy to learn. Anyone, even a layman, can refer to that documentation and go through its Snap-pack to understand what configuration has to be done to use this Snap-pack. This makes SnapLogic definitely exceptional in the market. You won't find such comprehensive documentation in other iPaaS tools. The draggable packs truly demonstrate its power in usability. Governance and security are also well in place in SnapLogic, but there are areas for improvement. They can add more granular role and permission controls that provide greater flexibility for large enterprises. For example, if you have to provide access to 70 users in one shot, that can be improved. More improvements in policy enforcement capabilities are possible as well. SnapLogic can improve the data lineage part to achieve better end-to-end visibility into data movement. Also, during validation, we can only see up to 2,000 records currently. They can increase that from 2,000 to 20,000. They can put more visibility on costs and resource visibility, with better reporting on platform usage, processing consumption, and cost optimization opportunities.
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

"If we develop the same integration using any of the latest technology, it would take a minimum of one or two months, but using SnapLogic, we can develop the same logic via Snaps within two or three weeks, which provides tremendous time saving as well as cost reduction."
"The solution has solved many problems for our customers and has improved their operations."
"Despite having no prior experience in SnapLogic, we managed to build, test, and prepare it for release in just three hours, handling heavy data efficiently."
"SnapLogic is a very good tool, and from a usability perspective, it is excellent."
"I found SnapLogic valuable and what I found most valuable about it was its ETL feature."
"SnapLogic has positively impacted my organization because the professional services team has been running the pipelines and migrations very easily without any technical knowledge or dependency on technicalities."
"The best features SnapLogic offers include a fantastic interface, and being able to drag and drop and connect core components with minimal configuration and coding is really helpful and streamlines the deployment process."
"My teams can connect to new partners and data sources in hours, not days."
"It was easy to use and set up, with a nearly no-code interface that relied mostly on drag-and-drop functionality."
"I have saved 50 to 60% on maintaining pipelines since using Upsolver."
"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."
"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

"The dashboards regarding scheduled tasks need further improvement."
"For SnapLogic's AI capabilities, I would say its accuracy is around 85 to 90 percent, and reliability is also around the same, meaning I cannot blindly trust the output and should always review and improve it if required."
"Areas for improvement for SnapLogic include enhancing the documentation, especially by providing more complex examples in each Snappack, to cover various use cases that different team members may encounter."
"I think SnapLogic could be improved if the Snaplex has a way to change for people that want to write code, or to convert code to the Snaplex."
"SnapLogic can be improved by not keeping some of the connectors that would be very useful as a premium connector."
"On a scale of 1 to 10, I would rate SnapLogic a seven."
"As for improvements, the monitor that I currently use sometimes gets stuck and I am not able to expand and view the child pipelines in a much easier way."
"While it performs well, there is some room for improvement in this area."
"I think that Upsolver can be improved in orchestration because it is not a full orchestration tool."
"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."
"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."
"I would say Upsolver's scalability is eight out of 10 because of pricing."
 

Pricing and Cost Advice

"The license model is based on consumption."
"When comparing it with solutions like Apigee or MuleSoft, it still offers better value."
"By scaling the solution incrementally the cost is controlled and more beneficial to the client."
"It is a higher initial cost than other easy-to-use integration apps."
"They have pricing/usage tiers that are easy to move up or down."
"The cost with SnapLogic is an annual license and better than Informatica."
"From the ROI perspective, the price is extremely high"
"The pricing is okay."
"Upsolver is affordable at approximately $225 per terabyte per year."
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Top Industries

By visitors reading reviews
Manufacturing Company
12%
Outsourcing Company
10%
Comms Service Provider
9%
Financial Services Firm
9%
Real Estate/Law Firm
14%
Manufacturing Company
14%
Retailer
13%
Construction Company
11%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise17
Large Enterprise32
No data available
 

Questions from the Community

What needs improvement with SnapLogic?
I think SnapLogic can be improved by implementing more seamless logging of information. Currently, this is done through an error, but it would be best to have logging available on each snap that yo...
What is your primary use case for SnapLogic?
My main use case for SnapLogic is integration with other systems, and I also use SnapLogic to replace a lot of our older systems that require integration. A specific integration I set up with SnapL...
What advice do you have for others considering SnapLogic?
My advice for others looking into using SnapLogic is to anticipate a learning curve regarding the features currently available, as there are many ways to accomplish various tasks. It is best to tak...
What is your experience regarding pricing and costs for Upsolver?
My experience with pricing, setup cost, and licensing is that the pricing is nine out of 10.
What needs improvement with Upsolver?
I think Upsolver can be improved with deeper integration with external orchestration out of the box. I would appreciate more clear dashboards with billing in real time as a needed improvement.
What is your primary use case for Upsolver?
My main use case for Upsolver is to operate with changes in the structure of new data without a pipeline disrupting. I write SQL queries in Upsolver, and the platform takes care of the data itself,...
 

Comparisons

 

Also Known As

DataFlow
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Overview

 

Sample Customers

Adobe, ADP, BlackBerry, Bonobos, Box, Capital One, Dannon, Eero, Endo, Gensler, HCL, HP, Grovo, HIS, iRobot, Leica, Merck, Sans, Target, Verizon, Vodafone, Yelp, Yahoo!
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Find out what your peers are saying about SnapLogic vs. Upsolver and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.