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SnapLogic 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

SnapLogic
Ranking in Data Integration
10th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
34
Ranking in other categories
Process Automation (7th), API Management (10th), Cloud Data Integration (7th), Integration Platform as a Service (iPaaS) (7th)
Upsolver
Ranking in Data Integration
39th
Average Rating
8.6
Reviews Sentiment
7.6
Number of Reviews
4
Ranking in other categories
Streaming Analytics (21st)
 

Mindshare comparison

As of August 2026, in the Data Integration category, the mindshare of SnapLogic is 1.3%, down from 1.4% compared to the previous year. The mindshare of Upsolver is 0.7%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
SnapLogic1.3%
Upsolver0.7%
Other98.0%
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

"I found SnapLogic valuable and what I found most valuable about it was its ETL feature."
"The solution is great due to the fact that it is really flexible."
"The solution has solved many problems for our customers and has improved their operations."
"Almost all of our data transformation process and file extract process goes through SnapLogic, and we have a ton of our infrastructure set up in there and I would say it is extremely important for our processes."
"The solution is easy to implement and easy to use. It's basically just drag and drop."
"It is a stable solution."
"The feature I found most valuable in SnapLogic is low-code development. Low-code development has been very useful for simple processes, which is required for business users such as extracting details from a file or getting things reported by calling your web service. Calling your web service also becomes easier with SnapLogic because of the snaps available, so if you have the documentation, you can call an API. You don't have to write all those clients to call an API, so that is another feature I found very easy in SnapLogic. Configuring and managing all the file systems also become very handy with the solution."
"SnapLogic is an IPA tool that leverages a low code environment to connect to multiple sources, extract data, and store it in Azure data lake."
"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."
"It was easy to use and set up, with a nearly no-code interface that relied mostly on drag-and-drop functionality."
"Customer service is excellent, and I would rate it between eight point five to nine out of ten."
"I have saved 50 to 60% on maintaining pipelines since using Upsolver."
"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

"SnapLogic should have some inbuilt protocol mechanism in order to speed up."
"The biggest issue we have faced in our company with SnapLogic is regarding the EDI format"
"We'd like zero downtime in the future."
"I would like to see more performance-related dashboards, ones that display the cost of a pipeline, for instance. Also, it would be helpful to have management dashboards for overseeing pipelines and connections."
"While new features are always welcome, I do not have anything else at the top of my mind currently."
"It needs some more snaps. I would like to see some of the features be changed in some of the snaps."
"If it is a huge volume of data, other traditional ETL tools such as Informatica and Talend can process millions and billions of records, while in SnapLogic, the Snaplex fails or it returns an error in terms of processing that huge volume of data."
"The support is the most important improvement they could make."
"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."
"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."
"I would say Upsolver's scalability is eight out of 10 because of pricing."
"There is room for improvement in query tuning."
 

Pricing and Cost Advice

"From the ROI perspective, the price is extremely high"
"SnapLogic is not expensive. It's reasonably priced."
"They have pricing/usage tiers that are easy to move up or down."
"It is a higher initial cost than other easy-to-use integration apps."
"SnapLogic's price is high compared to the other tools available in the market."
"By scaling the solution incrementally the cost is controlled and more beneficial to the client."
"I used the free trial."
"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
13%
Financial Services Firm
11%
Construction Company
9%
Outsourcing Company
9%
Real Estate/Law Firm
14%
Manufacturing Company
14%
Retailer
12%
Construction Company
11%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise7
Large Enterprise18
No data available
 

Questions from the Community

What needs improvement with SnapLogic?
One thing I do not like about SnapLogic is some of the pre-built snap packs. If I want to integrate with a new system, I have to pay to get access to those. There have been a couple of instances of...
What is your primary use case for SnapLogic?
SnapLogic is my primary automation and integration platform that I use daily. A specific example of how I use SnapLogic day-to-day involves a number of different syncs, such as having CRM data from...
What advice do you have for others considering SnapLogic?
My advice to others looking into using SnapLogic is to consider the positive features I have mentioned before, as well as being aware of the downside of having to pay more to unlock more features. ...
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: August 2026.
909,948 professionals have used our research since 2012.