JumpMind SymmetricDS vs Spring Cloud Data Flow comparison

The compared JumpMind and VMware solutions aren't in the same category. JumpMind is ranked #16 in DR , and holds a 1.5% mindshare in the category. VMware is ranked #22 in DI , with an average rating of 7.6, and holds a 1.1% mindshare. Additionally, 100% of JumpMind users are willing to recommend the solution, compared to 88% of VMware users who would recommend it.

JumpMind SymmetricDS

Read 2 JumpMind SymmetricDS reviews

213 Views
130 Comparison Views

100% willing to recommend

Spring Cloud Data Flow

Read 9 Spring Cloud Data Flow reviews

1,829 Views
1,384 Comparison Views

88% willing to recommend

JumpMind SymmetricDS

Spring Cloud Data Flow

Comparison Buyer's Guide

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Executive Summary

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

Find out what your peers are saying about NetApp, Fivetran, Dell Technologies and others in Data Replication.

To learn more, read our detailed Data Replication Report (Updated: November 2024).

Buyer's Guide

Data Replication

November 2024

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Categories and Ranking

JumpMind SymmetricDS

Average Rating

9.0

Number of Reviews

Ranking in other categories

Data Replication (16th)

Spring Cloud Data Flow

Average Rating

7.8

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Integration (22nd), Streaming Analytics (10th)

Mindshare comparison

JumpMind SymmetricDS and Spring Cloud Data Flow aren’t in the same category and serve different purposes. JumpMind SymmetricDS is designed for Data Replication and holds a mindshare of 1.5%, down 2.3% compared to last year.
Spring Cloud Data Flow, on the other hand, focuses on Data Integration, holds 1.1% mindshare, up 1.0% since last year.

Data Replication

Data Integration

Featured Reviews

it_user186621

Senior Manager of IT at a retailer with 10,001+ employees

Excellent change data capture utility for distributed multi site environment

Customer Service: We have a support contract with Jumpmind. The support resources are readily available and provide expert support to any questions. Technical Support: Jumpmind created and open sourced this solution. All the key players are still actively involved with the technology and provide answers to all our open questions. The consistency we receive from their support is second to none.

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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 is fully featured. It has allowed me to do everything I wanted to do."

"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 most valuable feature is real-time streaming."

"The product is very user-friendly."

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

"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."

"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 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

"The user interface could improve. We are looking at some cloud-based databases, and I don't think they support that."

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

"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."

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

"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."

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

"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."

Pricing and Cost Advice

Information not available

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

"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."

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

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Top Industries

By visitors reading reviews

Computer Software Company

20%

Financial Services Firm

11%

Retailer

10%

Manufacturing Company

Financial Services Firm

28%

Computer Software Company

17%

Manufacturing Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

Does JumpMind SymmetricDS support a large array of databases?

Yes, it does. This data replication software works with many popular databases, allowing users to benefit from its services. What's more, it also works with many data warehouses, as well as streami...

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Is JumpMind SymmetricDS easy to use for beginners?

I didn't start with JumpMind SymmetricDS, I actually started using it at a job when I was a little more introduced to data replication. That made me able to see the good features this software has....

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Does JumpMind SymmetricDS provide frequent file synchronization?

How often do you need for your data to be synchronized? I'm asking this because different companies use data replication for different purposes. Some use it as simply updating backup, others to giv...

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What needs improvement with Spring Cloud Data Flow?

I would improve the dashboard features as they are not very user-friendly. Another area for improvement is the documentation, as it is not very precise. There are limited resources available on Spr...

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

I am a developer using Spring Cloud Dataflow. We primarily use it to convert our applications from monolithic to microservices. The solution is used for scheduling tasks in a specific order and ens...

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

My advice would be to thoroughly review the documentation and understand if Spring Cloud Dataflow is the right solution for your application. For applications with only one or two microservices, it...

See all answers

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Product Reports

Buyer's Guide

Data Replication

November 2024

Download JumpMind SymmetricDS product report

Buyer's Guide

Spring Cloud Data Flow

October 2024

Download Spring Cloud Data Flow product report

Also Known As

SymmetricDS

No data available

Learn More

JumpMind

VMware

Overview

JumpMind SymmetricDS is a powerful data replication software that provides synchronization software solutions for both databases and filesystems. This software is platform-independent and web-enabled as well as database agnostic. JumpMind SymmetricDS creates prompt bi-directional data replication while scaling to a large amount of nodes and working in close to real time across both WAN and LAN networks. This allows companies to integrate data using the feature for continuous change data capture.

This data replication software allows companies with limited network bandwidth or bad connectivity to benefit from excellent cloud conditions. The greatest benefit of JumpMind SymmetricDS is its vast integration across databases, streaming platforms, and data warehouses. Some of the relational databases where this data replication software can be used include Oracle, PostgreSQL, MySQL, Sybase, Informix, Ingres, Tiber, and VoltDB. NoSQL databases like MongoDB, Apache Cassandra, and Azure Cosmos are also compatible with the JumpMind SymmetricDS data replication software. The data warehouses that are compatible with this software include Teradata, SAP HANA, Azure-SQL server by Microsoft, BigQuery, Amazon Redshift, Pivotal Greenplum, and Snowflake data warehouse. Providing coverage of so many databases and warehouses allows broad outreach of the JumpMind SymmetricDS across many different companies and users.

JumpMind SymmetricDS Features

JumpMind SymmetricDS offers many valuable features, including:

Easy setup and configuration processes: JumpMind SymmetricDS’s web interface allows even beginners to grasp its basic functions. There is an option for a configuration tour, which provides an explanation of how changes can be applied. This feature helps experienced specialists to operate faster while also providing guidance on usage for complete beginners.
Flexible data replication: Users can synchronize data across remote networks' nodes with low bandwidth usage, allowing their configuration as well as that of groups.
Monitoring and troubleshooting: JumpMind SymmetricDS users can access graphically visualized data replication through the main dashboard, allowing them to identify any errors and resolve them in a timely manner.
File synchronization: Users can run continuous or periodic synchronization of the copying their files between multiple nodes. The synchronization can wait during periods of downtime and resume once the network is available.
Performance and scaling: JumpMind SymmetricDS quickly synchronizes data with a large number of databases.

Other features include tools for conflict detection and resolution, embedding and extending, filtering, subsetting, and transforming.

JumpMind SymmetricDS Benefits

The benefits of using JumpMind SymmetricDS include:

Ability to replicate thousands of databases and file systems in near real time
Support of a wide range of database platforms, data warehouses, and operating systems
Many value-added features

Reviews from Real Users

According to the CEO at a non-profit, JumpMind SymmetricsDS is fully featured and is also very easy to use and install. He finds it to be self-explanatory to use and says that their support is very good.

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.

Sample Customers

SmartMD, Cancer Research UK

Information Not Available

Find out what your peers are saying about NetApp, Fivetran, Dell Technologies and others in Data Replication. Updated: November 2024.

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