Precisely Connect vs Spring Cloud Data Flow comparison

Why PeerSpot?

Precisely and Broadcom are both solutions in the Data Integration category. Precisely is ranked #46 with an average rating of 8.0, while Broadcom is ranked #31 with an average rating of 8.0. Precisely holds a 0.7% mindshare in DI, compared to Broadcom’s 1.0% mindshare. Additionally, 100% of Precisely users are willing to recommend the solution, compared to 88% of Broadcom users who would recommend it.

Precisely Connect

Read 1 Precisely Connect review

2,188 Views
1,816 Comparison Views

100% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

5,078 Views
2,894 Comparison Views

88% willing to recommend

Precisely Connect

Spring Cloud Data Flow

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Precisely Connect and Spring Cloud Data Flow based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, Palantir, Microsoft and others in Data Integration.

To learn more, read our detailed Data Integration Report (Updated: September 2026).

Buyer's Guide

Data Integration

September 2026

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Helped 915,287 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

Precisely Connect

Ranking in Data Integration

46th

Average Rating

8.0

Reviews Sentiment

6.3

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 (18th)

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of Precisely Connect is 0.7%, up from 0.5% compared to the previous year. The mindshare of Spring Cloud Data Flow is 1.0%, down from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
Spring Cloud Data Flow	1.0%
Precisely Connect	0.7%
Other	98.3%

Data Integration

Featured Reviews

reviewer2667306

Data Engineer at a consultancy with 1-10 employees

AI compliance integration elevates data quality and decision-making

I usually implement Precisely and Collibra tools for clients to enhance data quality. My main use case involves working with the data catalog of Precisely to integrate data management processes and ensure data governance Precisely has the AI Act already implemented into the data catalog, which…

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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.

Read full review

Quotes from Members

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

Pros

"Precisely has the AI Act already implemented into the data catalog, which allows the integration of the European Artificial Intelligence Act into our processes."

"Using Precisely improves data quality, which can lead to a 30% increase in revenue and boost net income by 20% to 25% if implemented correctly."

"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."

"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."

"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 most valuable feature is real-time streaming."

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

"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."

"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."

More Spring Cloud Data Flow pros

Cons

"Precisely works with a tool called Analyze, which has a steep learning curve due to its use of Jython, a combination of Java and Python. This could be improved to make the tool more 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."

"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 solution's community support could be improved."

"The visual user interface could use some help; it needs improvement."

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

"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."

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

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

More Spring Cloud Data Flow cons

Pricing and Cost Advice

Information not available

"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

14%

Construction Company

11%

Insurance Company

10%

Comms Service Provider

Financial Services Firm

16%

Computer Software Company

10%

Outsourcing Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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

Questions from the Community

What is your experience regarding pricing and costs for Precisely Connect?

Precisely has a high entry price, which is why it is not suitable for small to mid-sized organizations.

See all answers

What needs improvement with Precisely Connect?

Precisely works with a tool called Analyze, which has a steep learning curve due to its use of Jython, a combination of Java and Python. This could be improved to make the tool more user-friendly.

See all answers

What is your primary use case for Precisely Connect?

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 19% of the time

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Compared 13% of the time

Informatica PowerCenter vs Precisely Connect

Compared 12% of the time

SSIS vs Precisely Connect

Compared 9% of the time

ASCENDING Data Integration vs Precisely Connect

Compared 8% of the time

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Apache Flink vs Spring Cloud Data Flow

Compared 7% of the time

TIBCO Spotfire vs Spring Cloud Data Flow

Compared 6% of the time

Cloudera DataFlow vs Spring Cloud Data Flow

Compared 6% of the time

TIBCO BusinessWorks vs Spring Cloud Data Flow

Compared 4% of the time

StreamSets vs Spring Cloud Data Flow

Compared 4% of the time

More Spring Cloud Data Flow Competitors

Product Reports

Buyer's Guide

Data Integration

September 2026

Download Precisely Connect product report

Buyer's Guide

Spring Cloud Data Flow

September 2026

Download Spring Cloud Data Flow product report

Also Known As

DMExpress, Syncsort DMX, Syncsort Connect ETL

No data available

Overview

Precisely Connect is a robust data integration solution designed for seamless data connectivity across diverse platforms. It offers impressive capabilities to manage and analyze data efficiently, delivering great value for businesses aiming to optimize data-driven decision-making processes.

Precisely Connect stands out by providing comprehensive integration options for heterogenous data environments. Its user-friendly design and extensive functionality make it an ideal choice for businesses looking to harness the full potential of their data assets. Its flexibility and support for a wide range of data sources simplify the task of managing complex data landscapes. By enabling efficient data movement and transformation, it empowers enterprises to derive meaningful insights and drive strategic initiatives effectively.

What are the main features of Precisely Connect?

Data Integration: Effortlessly connects various data sources, ensuring seamless data flow and accuracy.
Scalability: Adapts to growing business needs while maintaining performance and reliability.
Real-time Data Processing: Supports immediate data gathering and analysis for timely decision-making.
Comprehensive Support: Includes extensive documentation and customer service for end-user ease.

What benefits should users expect?

Increased Efficiency: Streamlined processes reduce time and labor costs associated with data management.
Enhanced Insight: Greater access to integrated data leads to informed business strategies.
Cost Savings: Minimizes infrastructure costs by optimizing data operations and reducing resource consumption.
Improved Decision Making: Facilitates data-driven decisions with reliable and up-to-date information.

In industries such as finance and healthcare, Precisely Connect is implemented to ensure data integrity and compliance, crucial for regulatory mandates. Retail businesses leverage its capabilities to analyze consumer data for personalized marketing strategies, while manufacturing companies utilize it for optimizing supply chain operations and inventory management.

Precisely

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

Hermes, Kantar Worldpanel, Kojima Press Industry Co. Ltd., OTC Markets Group, Experian, Co-operative Group, State of Tennessee Department of Human Services, Centers for Medicare & Medicaid Services, Silverton, comScore

Information Not Available

Find out what your peers are saying about Informatica, Palantir, Microsoft and others in Data Integration. Updated: September 2026.

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