Qlik Replicate vs Spring Cloud Data Flow comparison

Qlik and Broadcom are both solutions in the Data Integration category. Qlik is ranked #24 with an average rating of 8.5, while Broadcom is ranked #31 with an average rating of 7.5. Qlik holds a 1.3% mindshare in DI, compared to Broadcom’s 1.0% 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

4,804 Views
3,651 Comparison Views

100% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

3,961 Views
2,179 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: June 2026).

Buyer's Guide

Qlik Replicate vs. Spring Cloud Data Flow

June 2026

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Helped 900,644 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

24th

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

31st

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Streaming Analytics (16th)

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of Qlik Replicate is 1.3%, down from 2.9% compared to the previous year. The mindshare of Spring Cloud Data Flow is 1.0%, down from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Qlik Replicate	1.3%
Spring Cloud Data Flow	1.0%
Other	97.7%

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

"The most useful functions of Qlik Replicate are the data manipulation to transformations."

"Its capability to replicate the data without impacting the source databases performance-wise is the most useful aspect."

"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 applications."

"The cost is under control with this solution, unlike other services where it's not."

"Great with replicating and updating records."

"A pretty good series of connectors is one of the best features of Qlik Replicate."

"From a technical perspective, this is an excellent product."

"My advice to others looking into implementing Qlik Sense is that it's a great product."

More Qlik Replicate pros

"This product will assist us in saving costs in many ways: No longer need to continue paying high fees for proprietary software, reduce the number of software engineers needed to support the product, and achieve faster time to market by using this product for our middleware."

"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."

"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 product is very user-friendly."

"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 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."

"Overall, Spring Cloud Data Flow is a really good solution and a lot cheaper than a lot of infrastructure provided by big companies like Google or Amazon."

More Spring Cloud Data Flow pros

Cons

"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."

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

"The product should improve its licensing limitation."

"Some features can also be overly dependent on each other. So, there is room for improvement."

"The UI and data version control can be improved."

"Support for this product could be better. When we do, my rating is a two out of five, because their internal support is not great."

"We would like to see more details in messages about errors with the system."

"Support-wise, this solution is in need of improvement."

More Qlik Replicate cons

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

"The documentation on offer is not that good."

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

"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."

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

"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."

More Spring Cloud Data Flow cons

Pricing and Cost Advice

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

"Pricing for this solution is very reasonable."

"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 mainly suited for large companies. However, it is too costly for small businesses. Its pricing is high."

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

"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."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

11%

Insurance Company

10%

Computer Software Company

Financial Services Firm

18%

Computer Software Company

10%

Retailer

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Large Enterprise	12

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

Questions from the Community

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,...

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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...

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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...

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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 7% of the time

AWS Database Migration Service vs Qlik Replicate

Compared 6% of the time

SSIS vs Qlik Replicate

Compared 5% of the time

SharePlex vs Qlik Replicate

Compared 4% of the time

Qlik Compose vs Qlik Replicate

Compared 4% of the time

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Apache Flink vs Spring Cloud Data Flow

Compared 11% of the time

TIBCO BusinessWorks vs Spring Cloud Data Flow

Compared 5% of the time

Apache Spark Streaming vs Spring Cloud Data Flow

Compared 5% of the time

Cloudera DataFlow vs Spring Cloud Data Flow

Compared 4% of the time

WSO2 Enterprise Integrator vs Spring Cloud Data Flow

Compared 4% of the time

More Spring Cloud Data Flow Competitors

Product Reports

Buyer's Guide

Qlik Replicate

June 2026

Download Qlik Replicate product report

Buyer's Guide

Spring Cloud Data Flow

May 2026

Download Spring Cloud Data Flow product report

Also Known As

Replicate, Qlik Replicate

No data available

Overview

Qlik Replicate offers log-based change data capture, supporting real-time data updates without affecting source databases. It manages schema changes automatically and ensures seamless data distribution. The platform is user-friendly, enables late-stage transformation, and supports incremental replication and real-time analytics.

Qlik Replicate is known for efficiently capturing data changes with minimal impact on source databases. Its log-based change data capture capabilities ensure quick propagation of updates in real-time while automatically handling schema changes, facilitating ease in data management. The system's seamless integration across endpoints and a user-friendly interface make it an invaluable tool for incremental replication and real-time analytics. Despite some challenges like UI freezing, complex licensing, and error handling, it is instrumental in enhancing business growth and operational efficiency. Users continuously seek improvements in error insights, data compression, and expanded API integration to better serve diverse data sources and platforms.

What are the key features of Qlik Replicate?

Log-Based Change Data Capture: Captures data changes in real-time without heavy loads.
Automatic Schema Handling: Manages schema changes seamlessly.
Platform Integration: Integrates well with platforms like AWS and Snowflake.
User-Friendly Interface: Offers a simple and intuitive interface.
Real-Time Analytics: Enables immediate data insights for business growth.

What benefits should users expect from Qlik Replicate?

Improved Data Accessibility: Enhances access to data for decision-making.
Automation in Data Modeling: Automates repetitive tasks, saving time.
Efficient Change Data Capture: Reduces downtime and increases efficiency.
Streamlined Data Pipelines: Facilitates smoother data transfers.

Qlik Replicate is used across industries such as energy, banking, and semiconductors to modernize analytics environments and streamline data flows. It excels in data migration from systems like SAP HANA and Oracle to environments like AWS, significantly reducing downtime and boosting analytics capabilities. Organizations report advantages such as enhanced data accessibility and automated data modeling, which facilitates efficient change data capture and operational effectiveness.

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

June 2026

Free Report: Qlik Replicate vs. Spring Cloud Data Flow

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