JumpMind SymmetricDS vs StreamSets comparison

The compared JumpMind and IBM solutions aren't in the same category. JumpMind is ranked #15 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 1.5% 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

1,046 Views
178 Comparison Views

100% willing to recommend

StreamSets

Read 21 StreamSets reviews

2,599 Views
1,871 Comparison Views

100% willing to recommend

JumpMind SymmetricDS

StreamSets

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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: September 2025).

Buyer's Guide

JumpMind SymmetricDS vs. StreamSets

September 2025

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Helped 869,760 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 (15th)

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 1.4% compared to last year.
StreamSets, on the other hand, focuses on Data Integration, holds 1.5% mindshare, down 1.6% since last year.

Data Replication Market Share Distribution
Product	Market Share (%)
JumpMind SymmetricDS	3.2%
NetApp Snapshot	12.0%
NetApp SnapMirror	10.7%
Other	74.1%

Data Replication

Data Integration Market Share Distribution
Product	Market Share (%)
StreamSets	1.5%
Informatica PowerCenter	6.0%
SSIS	5.7%
Other	86.8%

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…

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Ved Prakash Yadav

Senior Data Platform Manager at a manufacturing company with 10,001+ employees

Useful for data transformation and helps with column encryption

We use various tools and alerting systems to notify us of pipeline errors or failures. StreamSets supports data governance and compliance by allowing us to encrypt incoming data based on specified rules. We can easily encrypt columns by providing the column name and hash key. If you're considering using StreamSets for the first time, I would advise first understanding why you want to use it and how it will benefit you. If you're dealing with change tracking or handling large amounts of data, it could be cost-effective compared to services like Amazon. It's easy to schedule and manage tasks with the tool, and you can enhance your skills as an ETL developer. You can easily migrate traditional pipelines built on platforms like Informatica or Talend to StreamSets. I rate the overall solution an eight out of ten.

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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."

"The entire user interface is very simple and the simplicity of creating pipelines is something that I like very much about it. The design experience is very smooth."

"StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages. For example, in our previous Hadoop scenario, when we were creating the Sqoop-based processes to move data from source to destinations, we were getting the job done. That took approximately an hour to an hour and a half when we did it with Hadoop. However, with the StreamSets, since it works on a data collector-based mechanism, it completes the same process in 15 minutes of time. Therefore, it has saved us around 45 minutes per data pipeline or table that we migrate. Thus, it reduced the data transfer, including the drift part, by 45 minutes."

"The most valuable would be the GUI platform that I saw. I first saw it at a special session that StreamSets provided towards the end of the summer. I saw the way you set it up and how you have different processes going on with your data. The design experience seemed to be pretty straightforward to me in terms of how you drag and drop these nodes and connect them with arrows."

"In StreamSets, everything is in one place."

"I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks."

"The most valuable features are the option of integration with a variety of protocols, languages, and origins."

"The Ease of configuration for pipes is amazing. It has a lot of connectors. Mainly, we can do everything with the data in the pipe. I really like the graphical interface too"

"StreamSets Transformer is a good feature because it helps you when you are developing applications and when you don't want to write a lot of code. That is the best feature overall."

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."

"We often faced problems, especially with SAP ERP. We struggled because many columns weren't integers or primary keys, which StreamSets couldn't handle. We had to restructure our data tables, which was painful. Also, pipeline failures were common, and data drifting wasn't addressed, which made things worse. Licensing was another issue we encountered."

"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."

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

"The documentation is inadequate and has room for improvement because the technical support does not regularly update their documentation or the knowledge base."

"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."

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

"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."

"StreamSets should provide a mechanism to be able to perform data quality assessment when the data is being moved from one source to the target."

More StreamSets cons

Pricing and Cost Advice

Information not available

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

"The overall cost is very flexible so it is not a burden for our organization... However, the cost should be improved. For small and mid-size organizations it might be a challenge."

"We are running the community version right now, which can be used free of charge."

"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."

"The pricing is affordable for any business."

"It has a CPU core-based licensing, which works for us and is quite good."

"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."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

13%

Healthcare Company

Manufacturing Company

Financial Services Firm

Computer Software Company

10%

Financial Services Firm

Insurance Company

Manufacturing 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...

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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....

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?

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 infr...

See all answers

What is your primary use case for StreamSets?

We are using StreamSets for batch loading.

See all answers

Comparisons

Oracle GoldenGate vs JumpMind SymmetricDS

Compared 28% of the time

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Compared 25% of the time

Oracle GoldenGate Cloud Service vs JumpMind SymmetricDS

Compared 23% of the time

SSIS vs JumpMind SymmetricDS

Compared 15% of the time

Fivetran vs JumpMind SymmetricDS

Compared 10% of the time

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Informatica PowerCenter vs StreamSets

Compared 11% of the time

webMethods.io vs StreamSets

Compared 8% of the time

IBM InfoSphere DataStage vs StreamSets

Compared 8% of the time

Qlik Replicate vs StreamSets

Compared 7% of the time

Oracle GoldenGate vs StreamSets

Compared 7% of the time

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Product Reports

Buyer's Guide

Data Replication

September 2025

Download JumpMind SymmetricDS product report

Buyer's Guide

StreamSets

September 2025

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

September 2025

Free Report: JumpMind SymmetricDS vs. StreamSets

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