JumpMind SymmetricDS vs StreamSets comparison

The compared JumpMind and IBM solutions aren't in the same category. JumpMind is ranked #16 in DR , and holds a 3.2% mindshare in the category. IBM is ranked #22 in DI , with an average rating of 9.0, and holds a 1.2% mindshare. Additionally, 100% of JumpMind users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

JumpMind SymmetricDS

Read 2 JumpMind SymmetricDS reviews

1,156 Views
231 Comparison Views

100% willing to recommend

StreamSets

Read 21 StreamSets reviews

2,665 Views
1,919 Comparison Views

100% willing to recommend

JumpMind SymmetricDS

StreamSets

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between JumpMind SymmetricDS and StreamSets based on real PeerSpot user reviews.

Find out in this report how the two Data Replication solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed JumpMind SymmetricDS vs. StreamSets Report (Updated: December 2025).

Buyer's Guide

JumpMind SymmetricDS vs. StreamSets

December 2025

Download the complete report

Helped 881,114 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

JumpMind SymmetricDS

Average Rating

9.0

Reviews Sentiment

8.3

Number of Reviews

Ranking in other categories

Data Replication (16th)

StreamSets

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Integration (22nd)

Mindshare comparison

JumpMind SymmetricDS and StreamSets aren’t in the same category and serve different purposes. JumpMind SymmetricDS is designed for Data Replication and holds a mindshare of 3.2%, up 1.7% compared to last year.
StreamSets, on the other hand, focuses on Data Integration, holds 1.2% mindshare, down 1.6% since last year.

Data Replication Market Share Distribution
Product	Market Share (%)
JumpMind SymmetricDS	3.2%
NetApp SnapMirror	6.9%
NetApp Snapshot	6.6%
Other	83.3%

Data Replication

Data Integration Market Share Distribution
Product	Market Share (%)
StreamSets	1.2%
SSIS	4.0%
Informatica Intelligent Data Management Cloud (IDMC)	3.7%
Other	91.1%

Data Integration

Featured Reviews

reviewer1625691

CEO at a non-profit with 1-10 employees

Fully-featured, good performance, and easy to use and install

We are using it to back up the software across the network to a remote server It is fully featured. It has allowed me to do everything I wanted to do. It is also very easy to use and install. It is pretty self-explanatory, and their support was also very good. Everything is fine. The user…

Read full review

SrinivasanSankar

Enterprise Solutions Architect at a energy/utilities company with 1,001-5,000 employees

Enables effective batch loading with visual interface and enterprise support

One issue I observed with StreamSets is that the memory runs out quickly when processing large volumes of data. Because of this memory issue, we have to upgrade our EC2 boxes in the Amazon AWS infrastructure. I had to switch to a new EC2 box, even though the processor was not fully utilized. It would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades. Additionally, it would be a great enhancement if StreamSets could produce a lineage graph to visualize how the data has passed through the system.

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

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

"I really appreciate the numerous ready connectors available on both the source and target sides, the support for various media file formats, and the ease of configuring and managing pipelines centrally."

"The most valuable feature is the pipelines because they enable us to pull in and push out data from different sources and to manipulate and clean things up within them."

"The best thing about StreamSets is its plugins, which are very useful and work well with almost every data source. It's also easy to use, especially if you're comfortable with SQL. You can customize it to do what you need. Many other tools have started to use features similar to those introduced by StreamSets, like automated workflows that are easy to set up."

"StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved."

"It is really easy to set up and the interface is easy to use."

"What I love the most is that StreamSets is very light. It's a containerized application. It's easy to use with Docker. If you are a large organization, it's very easy to use Kubernetes."

"The ability to have a good bifurcation rate and fewer mistakes is valuable."

"For me, the most valuable features in StreamSets have to be the Data Collector and Control Hub, but especially the Data Collector. That feature is very elegant and seamlessly works with numerous source systems."

More StreamSets pros

Cons

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

"The logging mechanism could be improved. If I am working on a pipeline, then create a job out of it and it is running, it will generate constant logs. So, the logging mechanism could be simplified. Now, it is a bit difficult to understand and filter the logs. It takes some time."

"I would like to see it integrate with other kinds of platforms, other than Java. We're going to have a lot of applications using .NET and other languages or frameworks. StreamSets is very helpful for the old Java platform but it's hard to integrate with the other platforms and frameworks."

"Visualization and monitoring need to be improved and refined."

"We've seen a couple of cases where it appears to have a memory leak or a similar problem."

"If you use JDBC Lookup, for example, it generally takes a long time to process data."

"The design experience is the bane of our existence because their documentation is not the best. Even when they update their software, they don't publish the best information on how to update and change your pipeline configuration to make it conform to current best practices. We don't pay for the added support. We use the "freeware version." The user community, as well as the documentation they provide for the standard user, are difficult, at best."

"Sometimes, it is not clear at first how to set up nodes. A site with an explanation of how each node works would be very helpful."

"The execution engine could be improved. When I was at their session, they were using some obscure platform to run. There is a controller, which controls what happens on that, but you should be able to easily do this at any of the cloud services, such as Google Cloud. You shouldn't have any issues in terms of how to run it with their online development platform or design platform, basically their execution engine. There are issues with that."

More StreamSets cons

Pricing and Cost Advice

Information not available

"There are two editions, Professional and Enterprise, and there is a free trial. We're using the Professional edition and it is competitively priced."

"Its pricing is pretty much up to the mark. For smaller enterprises, it could be a big price to pay at the initial stage of operations, but the moment you have the Seed B or Seed C funding and you want to scale up your operations and aren't much worried about the funds, at that point in time, you would need a solution that could be scaled."

"StreamSets Data Collector is open source. One can utilize the StreamSets Data Collector, but the Control Hub is the main repository where all the jobs are present. Everything happens in Control Hub."

"We use the free version. It's great for a public, free release. Our stance is that the paid support model is too expensive to get into. They should honestly reevaluate that."

"The licensing is expensive, and there are other costs involved too. I know from using the software that you have to buy new features whenever there are new updates, which I don't really like. But initially, it was very good."

"It's not so favorable for small companies."

"StreamSets is an expensive solution."

"The pricing is too fixed. It should be based on how much data you need to process. Some businesses are not so big that they process a lot of data."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

12%

Manufacturing Company

10%

Healthcare Company

Retailer

Insurance Company

Financial Services Firm

Manufacturing Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	2
Large Enterprise	11

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...

See all answers

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....

See all answers

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 do you like most about StreamSets?

The best thing about StreamSets is its plugins, which are very useful and work well with almost every data source. It's also easy to use, especially if you're comfortable with SQL. You can customiz...

See all answers

What needs improvement with StreamSets?

See all answers

What is your primary use case for StreamSets?

We are using StreamSets for batch loading.

See all answers

Comparisons

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Compared 24% of the time

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Compared 22% of the time

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Compared 18% of the time

Qlik Replicate vs JumpMind SymmetricDS

Compared 15% of the time

SSIS vs JumpMind SymmetricDS

Compared 12% of the time

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Compared 8% of the time

Informatica PowerCenter vs StreamSets

Compared 7% of the time

webMethods.io vs StreamSets

Compared 6% of the time

Oracle GoldenGate vs StreamSets

Compared 6% of the time

Matillion Data Productivity Cloud vs StreamSets

Compared 5% of the time

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Product Reports

Buyer's Guide

Data Replication

January 2026

Download JumpMind SymmetricDS product report

Buyer's Guide

StreamSets

January 2026

Download StreamSets product report

Also Known As

SymmetricDS

No data available

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.

JumpMind

StreamSets is a data integration platform that enables organizations to efficiently move and process data across various systems. It offers a user-friendly interface for designing, deploying, and managing data pipelines, allowing users to easily connect to various data sources and destinations. StreamSets also provides real-time monitoring and alerting capabilities, ensuring that data is flowing smoothly and any issues are quickly addressed.

IBM

Sample Customers

SmartMD, Cancer Research UK

Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge

Buyer's Guide

JumpMind SymmetricDS vs. StreamSets

December 2025

Free Report: JumpMind SymmetricDS vs. StreamSets

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