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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
12th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
34
Ranking in other categories
Process Automation (7th), API Management (12th), Cloud Data Integration (8th), Integration Platform as a Service (iPaaS) (7th)
Upsolver
Ranking in Data Integration
38th
Average Rating
8.6
Reviews Sentiment
7.6
Number of Reviews
4
Ranking in other categories
Streaming Analytics (21st)
 

Mindshare comparison

As of July 2026, in the Data Integration category, the mindshare of SnapLogic is 1.3%, down from 1.5% compared to the previous year. The mindshare of Upsolver is 0.8%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
SnapLogic1.3%
Upsolver0.8%
Other97.9%
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

"The technical support from SnapLogic is excellent, and I would give it a complete ten."
"The vendor handles the maintenance of the solution"
"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."
"The solution is easy to implement and easy to use. It's basically just drag and drop."
"The initial setup is very straightforward."
"SnapLogic positively impacts my organization, mainly in three areas: speed, system reliability, and maintainability."
"One of the best features SnapLogic offers is its user-friendly interface."
"It's more developer-friendly, and development can be done at a faster phase."
"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."
"It was easy to use and set up, with a nearly no-code interface that relied mostly on drag-and-drop functionality."
 

Cons

"We'd like zero downtime in the future."
"The biggest issue we have faced in our company with SnapLogic is regarding the EDI format"
"The problem is that SnapLogic doesn't offer a wide variety of connectors. For example, integrating with Salesforce is not that easy."
"I find the learning curve for complex transformations, the debugging experience, performance optimization visibility, cost for small teams, and version control and DevOps integration could be improved in SnapLogic."
"I am looking for more scheduling options. When it comes to scheduling, there are different tools in the market."
"There is room for improvement of API management and the dashboard for task execution."
"One area for improvement in SnapLogic is the transparency in the flow of data. It needs to have more transparency. Right now, users only have a preview option at the end of any job flow, so at the end of any Snap Pack, there is a data preview option that lets you review the data and see how it's moving. What would make the solution better is more debugging and more access to change data from the preview panel or more functionality in terms of the preview option."
"SnapLogic should have some inbuilt protocol mechanism in order to speed up."
"I would say Upsolver's scalability is eight out of 10 because of pricing."
"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 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."
 

Pricing and Cost Advice

"The cost with SnapLogic is an annual license and better than Informatica."
"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."
"From the ROI perspective, the price is extremely high"
"SnapLogic is not expensive. It's reasonably priced."
"When comparing it with solutions like Apigee or MuleSoft, it still offers better value."
"I used the free trial."
"By scaling the solution incrementally the cost is controlled and more beneficial to the client."
"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%
Healthcare Company
8%
Construction Company
8%
Real Estate/Law Firm
15%
Manufacturing Company
15%
Retailer
11%
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?
The learning curve for advanced use cases with SnapLogic could be improved. While basic pipelines are easy, more complex transformations and debugging can still be a bit challenging. Another improv...
What is your primary use case for SnapLogic?
Our main use case for SnapLogic is building and managing data integration pipelines between different systems, especially for automating API-based workflows. It helps streamline data movement, tran...
What advice do you have for others considering SnapLogic?
I recommend that instead of going to the Groundplex node, teams use SnapLogic for SaaS-based solutions because running the Groundplex node creates additional operational overhead for the team. To g...
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: June 2026.
902,988 professionals have used our research since 2012.