Quest SharePlex vs Spring Cloud Data Flow comparison

Quest Software and VMware are both solutions in the Data Integration category. Quest Software is ranked #49, while VMware is ranked #24 with an average rating of 7.7. Quest Software holds a 0.7% mindshare in DI, compared to VMware’s 1.1% mindshare. Additionally, 100% of Quest Software users are willing to recommend the solution, compared to 88% of VMware users who would recommend it.

Quest SharePlex

Read 5 Quest SharePlex reviews

1,346 Views
806 Comparison Views

100% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

1,421 Views
1,057 Comparison Views

88% willing to recommend

Quest SharePlex

Spring Cloud Data Flow

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Executive SummaryUpdated on Dec 19, 2024

Quest SharePlex and Spring Cloud Data Flow are products in data management and integration. Quest SharePlex leads with robust data replication features and support, while Spring Cloud Data Flow shines in real-time data processing capabilities.

Features: Quest SharePlex offers superior data replication, change data capture, and seamless integration with Oracle, focusing on reliability and minimal downtime. Spring Cloud Data Flow includes dynamic data pipeline orchestration, real-time analytics, and integration with the Spring ecosystem, with a microservices-oriented architecture to enhance flexibility.

Room for Improvement: Quest SharePlex could enhance its integration with non-Oracle databases, improve real-time analytics, and allow for more flexible deployment options. Spring Cloud Data Flow might benefit from simplifying its initial setup, expanding support for non-Spring ecosystem tools, and improving user-friendliness for complex configurations.

Ease of Deployment and Customer Service: Quest SharePlex features straightforward deployment and strong support services, praised for operational management in database environments. Spring Cloud Data Flow requires more customization and configuration, suited for cloud-native setups. Its complexity necessitates skilled handling, but extensive documentation and community support are available.

Pricing and ROI: Quest SharePlex provides competitive pricing with a clear structure and often favorable ROI for stability-focused enterprises. Spring Cloud Data Flow, with potentially higher initial setup costs, tends to deliver greater ROI in agile environments benefiting from its data management innovations.

To learn more, read our detailed Quest SharePlex vs. Spring Cloud Data Flow Report (Updated: April 2025).

Buyer's Guide

Quest SharePlex vs. Spring Cloud Data Flow

April 2025

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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

Quest SharePlex

Ranking in Data Integration

49th

Average Rating

9.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Spring Cloud Data Flow

Ranking in Data Integration

24th

Average Rating

7.8

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Streaming Analytics (9th)

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of Quest SharePlex is 0.7%, down from 0.7% compared to the previous year. The mindshare of Spring Cloud Data Flow is 1.1%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration

Featured Reviews

ManishJain7

Architect, Database Administration at Maximus

Excellent replication with good stability and very helpful support

I don't know how easy it would be to change the architecture in an already implemented replication. For example, if we have a certain way of architecting for a particular database migration and want to change that during a period of time, is that an easy or difficult change? There was a need for us to change the architecture in-between the migration, but we didn't do it. We thought, "This is possibly complicated. Let's not change it in the middle because we were approaching our cutover date." That was one thing that we should have checked with support about for training. Also, maybe if we could have a seperate section of showing out-of-sync tables in Foglight, instead of looking into the "warning" messages.

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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

"I like SharePlex's Compare and Repair tool."

"Because of the volume of the transactions, we heavily use a feature that allows SharePlex to replicate thousands of transactions. It's called PEP, Post Enhancement Performance, and that has helped us scale tremendously."

"There are some capabilities within SharePlex where you can see how the data is migrating and if it still maintains good data integrity. For example, if there are some tables that get out of sync, there are ways to find them and fix the problem on the spot. Since these are very common issues, we can easily fix these types of problems using utilities, like compare and repair. So, if you find something is out of sync, then you can just repair that table. It basically syncs that table from source to target to see if there are any differences. It will then replicate those differences to the target."

"The core replication and its performance. Performance is crucial, and SharePlex is by far the fastest. The way it handles replication to multiple targets along with basic filtering, as well as from multiple sources to a single target, is very efficient."

"The core features of the solution we like are the reliability of the data transfer and the accuracy of data read and write. The stability of the solution is also excellent."

"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 product is very user-friendly."

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

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

"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 dashboards in Spring Cloud Dataflow are quite valuable."

Cons

"For its function in relation to replication (i.e. filtering), I'd give it a six or seven out of 10. GoldenGate has much more functionality by comparison."

"The reporting features need improvement. It would be very good for users to have a clear understanding of the status of replication."

"I would like more ability to automate installation and configuration in line with some of the DevOps processes that are more mature in the market. That would be a considerable improvement."

"I don't know how easy it would be to change the architecture in an already implemented replication. For example, if we have a certain way of architecting for a particular database migration and want to change that during a period of time, is that an easy or difficult change? There was a need for us to change the architecture in-between the migration, but we didn't do it. We thought, "This is possibly complicated. Let's not change it in the middle because we were approaching our cutover date." That was one thing that we should have checked with support about for training."

"I would like the solution to have some kind of machine learning and AI capabilities. Often, if we want to improve the performance of posting, we have to bump up a parameter. That means we need to stop the process, come up with a figure that we want to bump the parameter up to, and then start SharePlex. Machine learning and AI capabilities for these kinds of improvement would tremendously help boost productivity for us."

"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 solution's community support could be improved."

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

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

"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."

Pricing and Cost Advice

"It's really good value for the money. There are some things they could improve on, but in terms of the pricing, features, and support, as a holistic package, we are not thinking of anything else at this point in time."

"It is not as expensive as Oracle GoldenGate and has worked really well within our budgets."

"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."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

11%

Real Estate/Law Firm

Manufacturing Company

Financial Services Firm

26%

Computer Software Company

17%

Retailer

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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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...

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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...

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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...

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Comparisons

Oracle GoldenGate vs Quest SharePlex

Compared 62% of the time

Qlik Replicate vs Quest SharePlex

Compared 15% of the time

AWS Database Migration Service vs Quest SharePlex

Compared 9% of the time

Fivetran vs Quest SharePlex

Compared 8% of the time

IBM App Connect vs Quest SharePlex

Compared 6% of the time

More Quest SharePlex Competitors

Apache Flink vs Spring Cloud Data Flow

Compared 42% of the time

TIBCO BusinessWorks vs Spring Cloud Data Flow

Compared 11% of the time

Google Cloud Dataflow vs Spring Cloud Data Flow

Compared 7% of the time

Apache Spark Streaming vs Spring Cloud Data Flow

Compared 5% of the time

MuleSoft Anypoint Platform vs Spring Cloud Data Flow

Compared 4% of the time

More Spring Cloud Data Flow Competitors

Product Reports

Buyer's Guide

Quest SharePlex

March 2025

Download Quest SharePlex product report

Buyer's Guide

Spring Cloud Data Flow

March 2025

Download Spring Cloud Data Flow product report

Also Known As

Dell SharePlex, SharePlex

No data available

Overview

SharePlex database replication empowers your organization to achieve its database goals now and into the future. Make use of built-in monitoring, conflict resolution, data comparison and synchronization capabilities backed by award-winning support.

Quest Software

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.

VMware

Sample Customers

Bodybuilding.com, Priceline.com, Ameco Beijing, Viasat, SK Broadband

Information Not Available

Buyer's Guide

Quest SharePlex vs. Spring Cloud Data Flow

April 2025

Free Report: Quest SharePlex vs. Spring Cloud Data Flow

Find out what your peers are saying about Quest SharePlex vs. Spring Cloud Data Flow and other solutions. Updated: April 2025.

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