SnapLogic vs Upsolver comparison

SnapLogic and Upsolver are both solutions in the Data Integration category. SnapLogic is ranked #22 with an average rating of 7.0, while Upsolver is ranked #39 with an average rating of 8.3. SnapLogic holds a 1.1% mindshare in DI, compared to Upsolver’s 0.7% mindshare. Additionally, 90% of SnapLogic users are willing to recommend the solution, compared to 100% of Upsolver users who would recommend it.

SnapLogic

Read 30 SnapLogic reviews

4,123 Views
1,938 Comparison Views

90% willing to recommend

Upsolver

Read 3 Upsolver reviews

869 Views
704 Comparison Views

100% willing to recommend

SnapLogic

Upsolver

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Executive Summary

We performed a comparison between SnapLogic and Upsolver based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed SnapLogic vs. Upsolver Report (Updated: March 2026).

Buyer's Guide

SnapLogic vs. Upsolver

March 2026

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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

22nd

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Process Automation (13th), API Management (17th), Cloud Data Integration (13th), Integration Platform as a Service (iPaaS) (12th)

Upsolver

Ranking in Data Integration

39th

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Streaming Analytics (21st)

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of SnapLogic is 1.1%, down from 1.6% compared to the previous year. The mindshare of Upsolver is 0.7%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
SnapLogic	1.1%
Upsolver	0.7%
Other	98.2%

Data Integration

Featured Reviews

Sella Kumar

Product Manager at a university with 501-1,000 employees

Automation has transformed daily operations and now delivers faster, more accurate data flows

The best features in SnapLogic are the drag-and-drop interface which makes it easy to build data and application flows. No heavy coding is required, making it ideal for both technical and non-technical users. SnapLogic also offers pre-built snaps, real-time and batch processing, API management and integration, cloud and hybrid support, dashboarding and monitoring, error handling and retry mechanisms, scalability, security and governance, and transformation capabilities with built-in functions to clean and transform data, expressions, aggregations, and mappings. SnapLogic offers auto-mapping and smart schema detection as additional features. SnapLogic can detect schemas automatically, which helps when sources evolve or change, and this matters because there is less manual mapping work.

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reviewer2784462

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.

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Quotes from Members

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

Pros

"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."

"The vendor handles the maintenance of the solution"

"If a company needs to use SnapLogic, first they need to consider why they need it, and if you have all your applications moving from on-premise to cloud migration, this is one of the best tools for that."

"They are very good at building out new aspects according to customer requirements."

"The solution has solved many problems for our customers and has improved their operations."

"I found SnapLogic valuable and what I found most valuable about it was its ETL feature. I also found its automation feature valuable. It can be used for automating manual activities. It can be used as a middleware for certain transactional data processing and minimal datasets and ETL activities."

"SnapLogic is a great platform for establishing integrations among various systems or patterns by using any kind of interface. If something is not supported by predefined snaps – snaps are connectors in SnapLogic – you can create them (custom snaps) or write a script."

"SnapLogic is very user-friendly."

More SnapLogic pros

"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."

"Customer service is excellent, and I would rate it between eight point five to nine out of ten."

"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."

Cons

"From the HR point of view, or for HR tech, improvement is required. A couple of connectors are not working with all the relevant APIs, and there is always a restriction in terms of fetching the data."

"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."

"I am looking for more scheduling options. When it comes to scheduling, there are different tools in the market."

"Ultra Pipelines is great in terms of real-time ingestion and real-time jobs but it needs some adjustment."

"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."

"The dashboards regarding scheduled tasks need further improvement."

"SnapLogic sits somewhere in the middle. It doesn’t offer enough easy canned integrations for its users like some of the easier to use integration apps."

"One of the areas for improvement in SnapLogic is that the connectors for some of the applications should be more available in terms of testing in the dev environment."

More SnapLogic 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."

"I think that Upsolver can be improved in orchestration because it is not a full orchestration tool."

"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."

Pricing and Cost Advice

"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."

"They have pricing/usage tiers that are easy to move up or down."

"The license model is based on consumption."

"SnapLogic's price is high compared to the other tools available in the market."

"When comparing it with solutions like Apigee or MuleSoft, it still offers better value."

"The cost with SnapLogic is an annual license and better than Informatica."

More SnapLogic pricing and cost advice

"Upsolver is affordable at approximately $225 per terabyte per year."

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Manufacturing Company

11%

University

Comms Service Provider

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	7
Large Enterprise	14

No data available

Questions from the Community

What do you like most about SnapLogic?

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.

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What needs improvement with SnapLogic?

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 impro...

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What is your primary use case for SnapLogic?

My main use case for SnapLogic is integration and automation, where it connects different systems, applications, databases, and files so data can move automatically between them. A company's sales ...

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What is your experience regarding pricing and costs for Upsolver?

My experience with pricing, setup cost, and licensing was a very good experience, but it is not a direct experience because it was not my responsibility. It was in charge of the customer. However, ...

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What needs improvement with Upsolver?

I think that Upsolver can be improved in orchestration because it is not a full orchestration tool. I believe it could be better in this regard. The cost needs attention at a very large scale. I th...

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What is your primary use case for Upsolver?

My main use case for Upsolver is during an IT consulting project for a large enterprise running a cloud-native data platform on AWS. I used Upsolver to ingest and process high-volume stream data fr...

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Comparisons

Informatica Intelligent Data Management Cloud (IDMC) vs SnapLogic

Compared 5% of the time

AWS Glue vs SnapLogic

Compared 4% of the time

Boomi iPaaS vs SnapLogic

Compared 4% of the time

Pentaho Data Integration and Analytics vs SnapLogic

Compared 4% of the time

MuleSoft Anypoint Platform vs SnapLogic

Compared 4% of the time

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Databricks vs Upsolver

Compared 12% of the time

SAS Access vs Upsolver

Compared 9% of the time

Alteryx Designer vs Upsolver

Compared 9% of the time

IBM Cloud Pak for Data vs Upsolver

Compared 8% of the time

Striim vs Upsolver

Compared 8% of the time

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Product Reports

Buyer's Guide

SnapLogic

March 2026

Download SnapLogic product report

Buyer's Guide

Data Integration

March 2026

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Also Known As

DataFlow

No data available

Overview

The SnapLogic Intelligent Integration Platform uses AI-powered workflows to automate all stages of IT integration projects – design, development, deployment, and maintenance – whether on-premises, in the cloud, or in hybrid environments. The platform’s easy-to-use, self-service interface enables both expert and citizen integrators to manage all application integration, data integration, API management, B2B integration, and data engineering projects on a single, scalable platform. With SnapLogic, organizations can connect all of their enterprise systems quickly and easily to automate business processes, accelerate analytics, and drive transformation.

SnapLogic

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.

Upsolver

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!

Information Not Available

Buyer's Guide

SnapLogic vs. Upsolver

March 2026

Free Report: SnapLogic vs. Upsolver

Find out what your peers are saying about SnapLogic vs. Upsolver and other solutions. Updated: March 2026.

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