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Census vs Qlik Replicate comparison

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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

Census
Ranking in Data Integration
44th
Average Rating
8.6
Reviews Sentiment
5.4
Number of Reviews
3
Ranking in other categories
No ranking in other categories
Qlik Replicate
Ranking in Data Integration
25th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
18
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the Data Integration category, the mindshare of Census is 0.4%, down from 0.4% compared to the previous year. The mindshare of Qlik Replicate is 1.3%, down from 2.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Qlik Replicate1.3%
Census0.4%
Other98.3%
Data Integration
 

Featured Reviews

reviewer2784462 - PeerSpot reviewer
Software Engineer at a tech vendor with 10,001+ employees
Data activation has become faster and business teams access consistent customer insights
Census has been very useful to us as a reverse ETL layer. We have reduced engineering efforts, which has translated into tens of thousands of euros per year in avoided development and maintenance costs, faster and more accurate customer activation, and other improvements that we achieved using Census. Census is faster than our previous approach. Census has enabled faster activation of analytic data into CRM and marketing platforms in our case. Another key benefit is the elimination of manual exports and custom integration scripts, consistent customer data across analytical and operational systems. The best feature that Census offers is that it works directly on top of the data warehouse, preserving a single source of truth. Another valuable feature is that Census provides excellent support for CRM, marketing, and customer-facing platforms. Census creates a single source of truth by making the data warehouse the only place where business logic and data definition live and by ensuring that all downstream operational systems are consumers, not owners of data. All customer attributes, metrics, and segments are defined once, directly in the data warehouse, using SQL and existing data models. Census was useful for us because of the fast time to value, as new syncs can be configured and deployed quickly without custom development. It also ensures that data models are clean and well-defined in the data warehouse after we start using Census. Based on delivery metrics and team feedback, the benefit is that the time to activate new use cases was reduced from weeks to days. Engineering effort dedicated to reverse ETL pipelines decreased by sixty to seventy percent. Maintenance overhead for custom integration was almost completely eliminated, and marketing and growth teams accelerated experimentation cycles significantly. From a cost perspective, reduced engineering effort translated into tens of thousands of euros per year in avoided development and maintenance costs, and faster and more accurate customer activation improved campaign effectiveness and business responsiveness.
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.

Quotes from Members

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

Pros

"The catalog of connectors and the integration with dbt have made my daily work easier because, regarding the number of connectors available, there are two hundred or more connectors, so it is difficult to have a destination that does not work for you, and using the integration with dbt allows me to reuse analytical models I already have."
"Based on delivery metrics and team feedback, the benefit is that the time to activate new use cases was reduced from weeks to days, engineering effort dedicated to reverse ETL pipelines decreased by sixty to seventy percent, maintenance overhead for custom integration was almost completely eliminated, and marketing and growth teams accelerated experimentation cycles significantly."
"Reverse ETL makes warehouse data more accessible to business teams, saves repetitive work, and helps improve the consistency of customer information across platforms."
"The system is basically user-driven, mostly operating as a local platform."
"From a technical perspective, this is an excellent product."
"Qlik Replicate's ability to correctly map and replicate data, especially when converting complex fields like packed decimal fields into integers, stands out."
"The most useful functions of Qlik Replicate are the data manipulation to transformations."
"It implements new real-time capabilities for data ingestion, works in hybrid mode that is a hybrid cloud, is very good, and it looks like it has very good performance, so we're quite happy."
"The CDC and the flexibility to use QVD as a source are the most valuable features of Qlik Replicate."
"Its capability to replicate the data without impacting the source databases performance-wise is the most useful aspect."
"The cost is under control with this solution, unlike other services where it's not."
 

Cons

"I would like to see more advanced data quality checks, clearer error messages when a sync fails, and easier troubleshooting for complex workflows."
"The areas for improvement are complex transformation logic because it must still be handled upstream in the warehouse, and cost predictability requires attention at high data volumes."
"I think Census could be improved by offering some advanced custom configurations or complex mappings that may have a higher learning curve, and the cost forecasting at large scale sometimes requires too much attention, and the information provided about it could be improved."
"In various scenarios, an important consideration is when we encounter issues and Qlik Replicate suggests reloading a specific table. If we face any problems or encounter errors with that table, it becomes necessary to make a change in Qlik Replicate. Performing a full reload every time is not feasible or practical. Instead, we should identify the specific issues and address them without repeating the entire reloading process. Based on this approach, we can investigate and resolve the problem by performing targeted loads from the source itself. This change aligns with my perspective and is something I would like to implement."
"Support for this product is not great. It needs to be improved."
"In the next release, I would like to see closer integration with data catalyst."
"They can do a better job in the performance."
"We would like to see more details in messages about errors with the system."
"When you remote into it the Qlik Replicate UI a lot of times it just freezes."
"When you remote into it the Qlik Replicate UI a lot of times it just freezes. We set up the EC2, to allow them to go to the server and click on the Replicate icon, it just opens up and just sits there. At that point, we have to go into the EC2 and then reboot the server. This should be fixed, it is frustrating."
"There is complexity involved in the licensing part of this system."
 

Pricing and Cost Advice

Information not available
"Pricing for this solution is very reasonable."
"Overall, Qlik is an expensive solution. You need to pay for all additional features that you would like to use."
"Qlik Replicate is mainly suited for large companies. However, it is too costly for small businesses. Its pricing is high."
"Unlike Azure, where you pay based on consumption, Qlik Replicate seems to charge per endpoint."
"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 not expensive, compared to GoldenGate."
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Top Industries

By visitors reading reviews
Manufacturing Company
11%
Financial Services Firm
11%
Construction Company
9%
Comms Service Provider
9%
Financial Services Firm
14%
Manufacturing Company
10%
Insurance Company
9%
Construction Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business9
Large Enterprise12
 

Questions from the Community

What needs improvement with Census?
Census has been performing very well overall. One area that may need improvement is that sometimes a custom setup is very difficult to configure. This was the case with our Intercom segment setup. ...
What is your primary use case for Census?
Census is a versatile data synchronizing solution that solves a wide range of data management problems for our business. With Census, we were able to reduce the sync time taken to transfer data fro...
What advice do you have for others considering Census?
I would rate Census an eight out of ten according to my experience. I feel it is not quite a ten because sometimes a custom setup is very difficult to configure. This was the case with our Intercom...
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 advice do you have for others considering Qlik Replicate?
The usefulness of the self-service interface of Qlik Replicate lies in its ability for users to independently access fresh data from the data lake or downstream SQL systems or ODS systems without n...
 

Comparisons

 

Also Known As

No data available
Replicate, Qlik Replicate
 

Overview

 

Sample Customers

Information Not Available
American Cancer Society, Fanzz, SM Retail, Smart Modular, Tangerine Bank, Wellcare
Find out what your peers are saying about Census vs. Qlik Replicate and other solutions. Updated: November 2026.
921,523 professionals have used our research since 2012.