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Qlik Replicate 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

Qlik Replicate
Ranking in Data Integration
24th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
18
Ranking in other categories
No ranking in other categories
Upsolver
Ranking in Data Integration
39th
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
3
Ranking in other categories
Streaming Analytics (21st)
 

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of Qlik Replicate is 1.6%, down from 3.0% 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
ProductMindshare (%)
Qlik Replicate1.6%
Upsolver0.7%
Other97.7%
Data Integration
 

Featured Reviews

SW
Solution Architect at Predoole Analytics
Real-time data synchronization faces challenges with monitoring and affordability
The user-friendly interface in Qlik Replicate simplifies configuration and management of replication tasks because it is based on GUI, and users don't have to write any scripts. It is entirely drag and drop functionality. Even with zero knowledge of scripting, users can effectively use Qlik Replicate. The most valuable feature of Qlik Replicate is their change data capture feature. As soon as data is entered into the source, it gets captured at target locations. This occurs in near real-time, with replication happening within seconds at the target location. Additionally, whatever operations are performed at the source, whether adding data, deleting data, or updating anything, it gets replicated at target locations. It functions as data injection from source to target, ensuring all operations performed on the source system are replicated on target systems.
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 system is basically user-driven, mostly operating as a local platform."
"Its capability to replicate the data without impacting the source databases performance-wise is the most useful aspect."
"Great with replicating and updating records."
"A valuable feature of Qlik Replicate is that you do not need ETL; it's easy to use—you choose two systems and it automatically replicates them."
"It is only meant to capture data from the log files, get the data, and transfer it, read that table structure, create the table structure, and transfer the data whenever there is a change."
"The most valuable features of Qlik Replicate are its CDC performance and trigger functions. CDC feature is important to the financial industry."
"Qlik Replicate stands out with its cutting-edge technology and its ability to handle diverse data management tasks. This powerful tool allows us to efficiently and swiftly load data into various data stores or destinations, while also enabling easy distribution across different endpoints. A notable feature is its capability to reload data from multiple sources by creating multiple tasks within a brief timeframe of fifteen to twenty minutes. This eliminates the need for manual intervention and ensures quick data loading from different tables."
"A pretty good series of connectors is one of the best features of Qlik Replicate."
"The most prominent feature of Upsolver is its function as an ETL tool, allowing data to be moved across platforms and different data technologies."
"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."
"Customer service is excellent, and I would rate it between eight point five to nine out of ten."
 

Cons

"In the next release, I would like to see closer integration with data catalyst."
"Some features can also be overly dependent on each other. So, there is room for improvement."
"When you remote into it the Qlik Replicate UI a lot of times it just freezes."
"I am not very comfortable with Qlik support as it often goes in loops. Even priority tickets, which should be resolved in minutes, can take days."
"We'd like better connectivity."
"This product could be improved by providing more insight regarding errors. We tried to debug it, but we could not trace the error message."
"It's not possible to replicate the QVC files in data analytics."
"Some features on the graphical user interface are clunky."
"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."
"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."
 

Pricing and Cost Advice

"Pricing for this solution is very reasonable."
"Unlike Azure, where you pay based on consumption, Qlik Replicate seems to charge per endpoint."
"Qlik Replicate is not expensive, compared to GoldenGate."
"Overall, Qlik is an expensive solution. You need to pay for all additional features that you would like to use."
"On a scale from one to ten, where one is cheap, and ten is expensive, I rate Qlik Replicate's pricing a nine out of ten."
"Qlik Replicate is mainly suited for large companies. However, it is too costly for small businesses. Its pricing is high."
"Upsolver is affordable at approximately $225 per terabyte per year."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Insurance Company
10%
Manufacturing Company
10%
Computer Software Company
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Large Enterprise11
No data available
 

Questions from the Community

What do you like most about Qlik Replicate?
The main valuable feature is its real-time change data capture (CDC) capabilities, which process data with minimal latency. There is not much delay. It also performs well with batch-wise data appli...
What needs improvement with Qlik Replicate?
In terms of handling diverse data sources, Qlik Replicate does exhibit certain shortcomings.Other areas of Qlik Replicate that could be improved include its ability to serve as a single point tool,...
What is your primary use case for Qlik Replicate?
My usual use cases for Qlik Replicate involve my previous organization and my current organization. I can provide my current experience. As an Australian energy provider, we have a lot of operation...
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, ...
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...
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...
 

Comparisons

 

Also Known As

Replicate, Qlik Replicate
No data available
 

Overview

 

Sample Customers

American Cancer Society, Fanzz, SM Retail, Smart Modular, Tangerine Bank, Wellcare
Information Not Available
Find out what your peers are saying about Qlik Replicate vs. Upsolver and other solutions. Updated: March 2026.
885,311 professionals have used our research since 2012.