Qlik Replicate vs Spring Cloud Data Flow comparison

Qlik and Broadcom are both solutions in the Data Integration category. Qlik is ranked #23 with an average rating of 8.0, while Broadcom is ranked #22 with an average rating of 7.8. Qlik holds a 1.6% mindshare in DI, compared to Broadcom’s 1.1% mindshare. Additionally, 100% of Qlik users are willing to recommend the solution, compared to 88% of Broadcom users who would recommend it.

Qlik Replicate

Read 18 Qlik Replicate reviews

4,009 Views
2,927 Comparison Views

100% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

3,140 Views
1,601 Comparison Views

88% willing to recommend

Qlik Replicate

Spring Cloud Data Flow

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

Qlik Replicate and Spring Cloud Data Flow compete in the data integration and management sector. Qlik Replicate may have the upper hand due to its real-time change data capture and extensive connector capabilities, while Spring Cloud Data Flow is notable for its programming flexibility and integration with Spring Boot applications.

Features: Qlik Replicate handles diverse data management tasks, offers real-time change data capture, and supports efficient data loading. Its user-friendly interface and extensive connectors further enhance its capabilities. Spring Cloud Data Flow provides flexibility in programming models, strong integration with Spring Boot, and a plug-and-play model with auto-configuration features for microservices orchestration.

Room for Improvement: Qlik Replicate could improve its user-friendliness and error messaging, and issues with its pricing model have been noted. Some users express concerns about the performance of its support. Spring Cloud Data Flow users have identified challenges with documentation clarity and community support. Its interface, particularly for Kubernetes integration, could be more intuitive.

Ease of Deployment and Customer Service: Qlik Replicate supports hybrid deployment, allowing flexibility between on-prem and cloud setups, though support experiences vary. Some users praise its thoroughness, while others suggest a need for faster response times. Spring Cloud Data Flow is often deployed on-premises or private cloud, with certain expectations for improvement in community support compared to other tools.

Pricing and ROI: Qlik Replicate's pricing, generally seen as high, is more suited for larger enterprises due to its per-endpoint pricing structure. Despite the high cost, users report significant ROI from database usage savings and operational efficiency. Spring Cloud Data Flow, as an open-source product, appeals with a more cost-effective model, incurring only support service costs, making it attractive for those seeking a low-cost entry point. The pricing strategy marks a clear difference, with Qlik Replicate offering premium features at a higher cost versus Spring Cloud Data Flow's cost flexibility with its open-source framework.

To learn more, read our detailed Qlik Replicate vs. Spring Cloud Data Flow Report (Updated: March 2026).

Buyer's Guide

Qlik Replicate vs. Spring Cloud Data Flow

March 2026

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Helped 884,797 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

Qlik Replicate

Ranking in Data Integration

23rd

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Spring Cloud Data Flow

Ranking in Data Integration

22nd

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Streaming Analytics (10th)

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 Spring Cloud Data Flow is 1.1%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Spring Cloud Data Flow	1.1%
Qlik Replicate	1.6%
Other	97.3%

Data Integration

Featured Reviews

Shraddha Waghulde

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.

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NitinGoyal

Engineering Lead at Naukri.com

Has a plug-and-play model and provides good robustness and scalability

The solution's community support could be improved. I don't know why the Spring Cloud Data Flow community is not very strong. Community support is very limited whenever you face any problem or are stuck somewhere. I'm not sure whether it has improved in the last six months because this pipeline was set up almost two years ago. I struggled with that a lot. For example, there was limited support whenever I got an exception and sought help from Stack Overflow or different forums. Interacting with Kubernetes needs a few certificates. You need to define all the certificates within your application. With the help of those certificates, your Java application or Spring Cloud Data Flow can interact with Kubernetes. I faced a lot of hurdles while placing those certificates. Despite following the official documentation to define all the replicas, readiness, and liveliness probes within the Spring Cloud Data Flow application, it was not working. So, I had to troubleshoot while digging in and debugging the internals of Spring Cloud Data Flow at that time. It was just a configuration mismatch, and I was doing nothing weird. There was a small spelling difference between how Spring Cloud Data Flow was expecting it and how I passed it. I was just following the official documentation.

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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

"It's very user-friendly when it comes to settings and configuration. It also offers very detailed logging about warnings and errors."

"We use Qlik Replicate to change data capture of databases in production environments."

"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. Even if there is no CDC available, if you insert it and update it, and there is nothing to find out, then you can use Qlik Replicate. It's a good product."

"Low-priced reporting and analytics solution, with good scalability and stability. It has on-premises and cloud versions that are cohesive and can integrate well."

"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 valuable features of Qlik Replicate are its CDC performance and trigger functions. CDC feature is important to the financial industry."

"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."

"Support has been great."

More Qlik Replicate pros

"The ease of deployment on Kubernetes, the seamless integration for orchestration of various pipelines, and the visual dashboard that simplifies operations even for non-specialists such as quality analysts."

"The best thing I like about Spring Cloud Data Flow is its plug-and-play model."

"The dashboards in Spring Cloud Dataflow are quite valuable."

"The product is very user-friendly."

"There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure."

"The solution's most valuable feature is that it allows us to use different batch data sources, retrieve the data, and then do the data processing, after which we can convert and store it in the target."

"The most valuable feature is real-time streaming."

"The most valuable features of Spring Cloud Data Flow are the simple programming model, integration, dependency Injection, and ability to do any injection. Additionally, auto-configuration is another important feature because we don't have to configure the database and or set up the boilerplate in the database in every project. The composability is good, we can create small workloads and compose them in any way we like."

Cons

"Some features on the graphical user interface are clunky."

"This product could be improved by providing more insight regarding errors. One of our customers that uses Qlik Replicate has had an issue. We tried to debug it, but we could not trace the error message. The infrastructure site should give us more insight about errors. Qlik Replicate is not a business solution, it's an IT solution. The reporting tools and bug site should be improved."

"The solution's flexibility to work with APIs should also be improved since it is very weak in working with APIs."

"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."

"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. 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."

"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."

More Qlik Replicate cons

"I would improve the dashboard features as they are not very user-friendly."

"Spring Cloud Data Flow could improve the user interface. We can drag and drop in the application for the configuration and settings, and deploy it right from the UI, without having to run a CI/CD pipeline. However, that does not work with Kubernetes, it only works when we are working with jars as the Spring Cloud Data Flow applications."

"Some of the features, like the monitoring tools, are not very mature and are still evolving."

"The solution's community support could be improved."

"On the tool's online discussion forums, you may get stuck with an issue, making it an area where improvements are required."

"The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."

"There were instances of deployment pipelines getting stuck, and the dashboard not always accurately showing the application status, requiring manual intervention such as rerunning applications or refreshing the dashboard."

"Spring Cloud Data Flow is not an easy-to-use tool, so improvements are required."

Pricing and Cost Advice

"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."

"Overall, Qlik is an expensive solution. You need to pay for all additional features that you would like to use."

"Unlike Azure, where you pay based on consumption, Qlik Replicate seems to charge per endpoint."

"Pricing for this solution is very reasonable."

"Qlik Replicate is not expensive, compared to GoldenGate."

"If you want support from Spring Cloud Data Flow there is a fee. The Spring Framework is open-source and this is a free solution."

"This is an open-source product that can be used free of charge."

"The solution provides value for money, and we are currently using its community edition."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Manufacturing Company

10%

Insurance Company

10%

Computer Software Company

Financial Services Firm

18%

Computer Software Company

13%

Retailer

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Large Enterprise	11

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	1
Large Enterprise	5

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...

See all answers

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,...

See all answers

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...

See all answers

What needs improvement with Spring Cloud Data Flow?

There were instances of deployment pipelines getting stuck, and the dashboard not always accurately showing the application status, requiring manual intervention such as rerunning applications or r...

See all answers

What is your primary use case for Spring Cloud Data Flow?

We had a project for content management, which involved multiple applications each handling content ingestion, transformation, enrichment, and storage for different customers independently. We want...

See all answers

What advice do you have for others considering Spring Cloud Data Flow?

I would definitely recommend Spring Cloud Data Flow. It requires minimal additional effort or time to understand how it works, and even non-specialists can use it effectively with its friendly docu...

See all answers

Comparisons

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Compared 8% of the time

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Compared 7% of the time

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Compared 6% of the time

Qlik Compose vs Qlik Replicate

Compared 6% of the time

SAP Data Services vs Qlik Replicate

Compared 4% of the time

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Compared 18% of the time

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Compared 5% of the time

Apache Kafka vs Spring Cloud Data Flow

Compared 5% of the time

Apache Spark Streaming vs Spring Cloud Data Flow

Compared 5% of the time

Pentaho Data Integration and Analytics vs Spring Cloud Data Flow

Compared 3% of the time

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Product Reports

Buyer's Guide

Qlik Replicate

March 2026

Download Qlik Replicate product report

Buyer's Guide

Spring Cloud Data Flow

February 2026

Download Spring Cloud Data Flow product report

Also Known As

Replicate, Qlik Replicate

No data available

Overview

Qlik Replicate is a data replication solution for replicating data from one source database to another for business intelligence software. It offers data manipulation and transformations, replication without impacting source databases, and ease of use without needing ETL. The solution is stable and user-friendly, with detailed logging and support.

Qlik Replicate has improved the organization by allowing each team to replicate their data into a single-source data location. The most important feature of Qlik Replicate is its ability to replicate and update records without needing a programmer.

Qlik

Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.
Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics. Use Spring Cloud Data Flow to connect your Enterprise to the Internet of Anything—mobile devices, sensors, wearables, automobiles, and more.

Broadcom

Sample Customers

American Cancer Society, Fanzz, SM Retail, Smart Modular, Tangerine Bank, Wellcare

Information Not Available

Buyer's Guide

Qlik Replicate vs. Spring Cloud Data Flow

March 2026

Free Report: Qlik Replicate vs. Spring Cloud Data Flow

Find out what your peers are saying about Qlik Replicate vs. Spring Cloud Data Flow and other solutions. Updated: March 2026.

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