SnapLogic vs Upsolver comparison

SnapLogic and Upsolver are both solutions in the Data Integration category. SnapLogic is ranked #11 with an average rating of 7.5, while Upsolver is ranked #36 with an average rating of 8.5. SnapLogic holds a 1.3% 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 32 SnapLogic reviews

5,757 Views
2,648 Comparison Views

90% willing to recommend

Upsolver

Read 4 Upsolver reviews

1,396 Views
1,131 Comparison Views

100% willing to recommend

SnapLogic

Upsolver

Comparison Buyer's Guide

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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: April 2026).

Buyer's Guide

SnapLogic vs. Upsolver

April 2026

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Helped 894,738 peers since 2012

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

11th

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Process Automation (10th), API Management (12th), Cloud Data Integration (8th), Integration Platform as a Service (iPaaS) (7th)

Upsolver

Ranking in Data Integration

36th

Average Rating

8.6

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Streaming Analytics (20th)

Mindshare comparison

As of May 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 0.7%, 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	1.3%
Upsolver	0.7%
Other	98.0%

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

"The product is easy to use and has many connectivity options."

"The connection with SOAP is the best feature."

"An important tool for building prototypes and MVPs than can seamlessly turn into production jobs"

"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."

"The solution is great due to the fact that it is really flexible."

"The initial setup is very straightforward."

"Everything is very good; it's good for mapping for the company, we have a lot of use cases that we can apply to this solution, and they are very good at building out new aspects according to customer requirements."

"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."

More SnapLogic pros

"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."

"I have saved 50 to 60% on maintaining pipelines since using Upsolver."

"It was easy to use and set up, with a nearly no-code interface that relied mostly on drag-and-drop functionality."

"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

"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."

"The setup cost would be four or five. There would be only one point of improvement if the price could be lower."

"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. Another area for improvement is that the logging should be standardized, for example, the integration with an ELK stack should be required out-of-the-box, so you can ship the log and have it in the ELK stack. There should be integration with ELK stack for the log shipping."

"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 solution isn't ideal for complex processing or logic. We use another solution for that."

"The learning curve for advanced use cases with SnapLogic could be improved."

"We'd like there to be more ways for users to get more comfortable and have more experience with the solution to make it easier to use."

"That said, while the SnapLogic technical managers are very good, the support model isn't great and should improve."

More SnapLogic cons

"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."

"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."

Pricing and Cost Advice

"By scaling the solution incrementally the cost is controlled and more beneficial to the client."

"SnapLogic is not expensive. It's reasonably priced."

"From the ROI perspective, the price is extremely high"

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

"The pricing is okay."

"It is a higher initial cost than other easy-to-use integration apps."

"The license model is based on consumption."

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

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

Manufacturing Company

11%

Financial Services Firm

11%

Comms Service Provider

University

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	16

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?

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...

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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...

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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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Product Reports

Buyer's Guide

SnapLogic

April 2026

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Buyer's Guide

Data Integration

May 2026

Download Upsolver product report

Also Known As

DataFlow

No data available

Overview

SnapLogic offers a flexible, low-code environment for data integration and automation, utilizing an intuitive drag-and-drop interface with pre-built components to streamline the integration of multiple systems like Salesforce, SAP, and Workday, optimizing workflow automation.

SnapLogic provides robust ETL capabilities and broad connectivity options, enabling custom script implementation. Its visual design supports seamless deployment and efficient error management. Users benefit from automating data flows and enhancing data consistency through API integrations while managing both synchronous and asynchronous processes. However, areas needing improvement include user-friendly integrations, API management, and dashboard functionalities, as well as better transparency and error debugging. There is a call for improved handling of large datasets, enhanced connectivity, and advanced monitoring, DevOps integration, and AI functionalities. Customer support and documentation could be more comprehensive, especially for intricate operations.

What are SnapLogic's key features?

Drag-and-Drop Interface: Simplifies integration with a user-friendly design
Pre-Built Snaps: Offers ready-to-use components for faster setup
Low-Code Environment: Reduces complexity in pipeline creation
Robust ETL Capabilities: Supports efficient data extraction, transformation, and loading
Broad Connectivity: Integrates seamlessly with CRM, ERP, and other platforms

What benefits can users expect?

Increased Efficiency: Streamlines data processes to save time
Enhanced Data Consistency: Automates data flows, boosting accuracy
Workflow Automation: Reduces manual labor and improves process management
Versatile API Handling: Supports diverse API integrations for greater flexibility

In industries like finance, healthcare, and logistics, SnapLogic is extensively implemented for ETL processes, data migration, and automating complex workflows to improve data accuracy and enhance operational efficiency. These capabilities allow organizations to streamline operations and focus on strategic initiatives.

SnapLogic

Upsolver offers a data lakehouse platform that simplifies big data processing and analytics, enabling data teams to efficiently handle large-scale datasets.

Upsolver's platform focuses on simplifying the complexities of data engineering by transforming raw data into queryable formats quickly. It allows seamless integration with cloud storage and various database systems, providing flexibility for data-driven businesses. The platform automates data preparation tasks, reducing manual coding and allowing teams to focus on extracting insights. Its scalable architecture supports real-time analytics and batch processing.

What are the key features of Upsolver?

Data Ingestion: Easily ingest data from multiple sources with minimal configuration.
Schema On-Read: Automatically interpret data schemas, simplifying data management.
Streaming SQL: Transform and analyze streaming data using a familiar SQL syntax.
Data Lake Integration: Seamlessly connect with data lakes for streamlined workflows.

What benefits and ROI should users consider?

Time Savings: Faster data processing reduces time to insights.
Cost Efficiency: Scalable architecture optimizes infrastructure costs.
Scalability: Handle growing data volumes effortlessly.
Flexibility: Supports wide data storage and processing strategies.

In the e-commerce industry, Upsolver helps businesses optimize their data pipelines for better customer segmentation and personalization, while in finance, it enhances fraud detection capabilities through real-time data analytics.

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

April 2026

Free Report: SnapLogic vs. Upsolver

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

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