Fivetran vs Upsolver comparison

Fivetran and Upsolver are both solutions in the Data Integration category. Fivetran is ranked #13 with an average rating of 8.3, while Upsolver is ranked #37 with an average rating of 8.5. Fivetran holds a 1.7% mindshare in DI, compared to Upsolver’s 0.6% mindshare. Additionally, 90% of Fivetran users are willing to recommend the solution, compared to 100% of Upsolver users who would recommend it.

Fivetran

Read 29 Fivetran reviews

4,172 Views
2,587 Comparison Views

90% willing to recommend

Upsolver

Read 3 Upsolver reviews

612 Views
490 Comparison Views

100% willing to recommend

Fivetran

Upsolver

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Fivetran 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 Fivetran vs. Upsolver Report (Updated: December 2025).

Buyer's Guide

Fivetran vs. Upsolver

December 2025

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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

Fivetran

Ranking in Data Integration

13th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Replication (3rd), Cloud Data Integration (9th)

Upsolver

Ranking in Data Integration

37th

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Streaming Analytics (20th)

Mindshare comparison

As of January 2026, in the Data Integration category, the mindshare of Fivetran is 1.7%, down from 2.2% compared to the previous year. The mindshare of Upsolver is 0.6%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Market Share Distribution
Product	Market Share (%)
Fivetran	1.7%
Upsolver	0.6%
Other	97.7%

Data Integration

Featured Reviews

Hafiz Usman

Team Lead Data Engineer at Data Pilot

Has accelerated data integration workflows and supports seamless development of custom connectors

I've worked extensively with Fivetran, mainly used for extraction purposes, and I've worked with the transformation element in it as well. Fivetran not only has built-in connectors but also provides SDK connectors, allowing us to develop our own connectors in an easy manner. I don't have to write raw Python scripts or dumping scripts; it offers straightforward examples and guidelines, making it much simpler to develop custom connectors inside Fivetran. We've been able to develop many custom connectors as well, which is unique and beneficial for having everything centralized instead of having those connectors located elsewhere. One of the best features by Fivetran is its clean, simple, and intuitive UI. It includes a transformation section where I can deploy my DBT queries and scripts. It also supplies good tracking capabilities for billing estimates and user permissions, allowing for customization to the desired level. The number of connectors it has remains a standout feature, and within connectors, the options available are very helpful. Although it sometimes appears static due to its built-in nature, it offers good flexibility for data transformation and caching, which I appreciate because it saves us extensive script-writing time.

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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

"There's the general feature of the platform where it just makes it very easy to integrate different things, but I would say a specific difference is their integration of DBT,."

"The solution is stable. We've never faced any stability issues."

"You can manage all of your connectors individually, which gives you a very good ability to trace which one of your ETL processes is running and when."

"The product has some seamless connectors, which are readily available."

"The compare feature is the most valuable piece of it."

"The ease of setting up the connectors and transformations is highly valuable."

"It is easy for users to get accustomed to the tool due to its gentle learning curve and clear error transparency."

"The most important feature of the solution is its ability to build data pipelines in less time."

More Fivetran 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

"I would like Fivetran to implement additional resource monitoring and restriction policies."

"There was a random change to our contract in a unilateral manner after the first year. The overall cost of using Fivetran was then unclear and this is the reason I would not recommend this solution."

"Some of the pain points we're looking at are trying to integrate some of the items in the Microsoft stack, so SharePoint and Excel, and then some of the newer Azure services."

"It should have a few more monitoring functionalities."

"The solution is very expensive. I would like to have a better integration of the solution with Azure."

"The biggest area for improvement is in customization, particularly in how Fivetran socializes its tools."

"The interface needs to be more user-friendly."

"The documentation can be laid out better to make it easier to find things, and I really wish there was built-in support for changing passwords. Some features don't work as advertised for the platform/repository database, and HVR is not always the fastest at getting results."

More Fivetran cons

"There is room for improvement in query tuning."

"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."

Pricing and Cost Advice

"Fivetran is very expensive, and its database-driven pricing model is outdated."

"I can't give exact amounts because that's based on usage, but it's more expensive than some of its competitors."

"In the first year, we were given a very good discount. It was approximately 20,000 Euros per year. In the third year, we purchased credit for two years and the price was 33,000 Euros per year."

"I would say they're a little bit on the expensive side, and their contract process is not particularly good, but there is a lot of potential flexibility."

"When you have a lot of workflows and complex use cases, pricing goes down as you use it more."

"I've heard that the license for HVR is a bit costly compared to its competitors, but since it's reliable and efficient, I think the customer shouldn't be bothered about the cost."

"The pricing model is okay and mid to large companies will not have an issue with it."

"I rate the pricing a six out of ten."

More Fivetran pricing and cost advice

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

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Top Industries

By visitors reading reviews

Computer Software Company

12%

Manufacturing Company

10%

Financial Services Firm

10%

Retailer

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	7
Large Enterprise	16

No data available

Questions from the Community

What's the deal with the HVR software acquisition?

As a user of HVR Software I followed this deal closely. Fivetran is apparently trying to establish more in its sector and by buying an already established data replication software, they become som...

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Does HVR Software provide reliable insights?

I honestly can't think of another data replication software that can give you better statistics and insight than HVR Software. There's the feature for topology and statistics and both of them can ...

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How much traffic can HVR Software handle?

As someone who works at a company where a high volume of information is replicated and has tried several data replication softwares, I can tell you that you're looking at the right one. HVR Softwar...

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What is your experience regarding pricing and costs for Upsolver?

Upsolver is affordable at approximately $225 per terabyte per year. Compared to what I know from others, it's cheaper than many other products.

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What needs improvement with Upsolver?

There is room for improvement in query tuning. Upsolver could do a more in-depth analysis in employing machine power, such as CPU and memory, to enhance query performance. Furthermore, allocating C...

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What is your primary use case for Upsolver?

I am working as a consultant and currently have my own consultancy services. I provide services to companies that are data-heavy and looking for data engineering solutions for their business needs....

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Overview

Fivetran, the global leader in data movement, is trusted by companies like OpenAI, LVMH, Pfizer, Verizon and Spotify to centralize data from SaaS applications, databases, files, and other sources into cloud destinations, including data lakes. With high-performance pipelines, seamless interoperability, and enterprise-grade security, Fivetran empowers organizations to modernize their data infrastructure, power analytics and AI, ensure compliance, and achieve transformative business outcomes. Learn more at Fivetran.com

Fivetran

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

Autodesk, Condé Nast, JetBlue, Morgan Stanley, OpenAI, LVMH, Pfizer, Verizon, SpotifyNational Australia Bank, Saks, Cemex, Okta, Dropbox, Pitney Bowes, World Fuel Services,Lufthansa, AutoZone, ASICS, ASOS, Coupa, Databricks, Hermes, New Relic, Intercom,Canva, Honeywell, Square, DocuSign, Nandos, Oldcastle Infrastructure

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Buyer's Guide

Fivetran vs. Upsolver

December 2025

Free Report: Fivetran vs. Upsolver

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