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 2.2% mindshare in the category. IBM is ranked #22 in DI , with an average rating of 8.8, and holds a 1.6% 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

148 Views
68 Comparison Views

100% willing to recommend

StreamSets

Read 21 StreamSets reviews

2,186 Views
1,376 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: June 2025).

Buyer's Guide

JumpMind SymmetricDS vs. StreamSets

June 2025

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Helped 859,438 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 2.2%, up 1.8% compared to last year.
StreamSets, on the other hand, focuses on Data Integration, holds 1.6% mindshare, up 1.4% since last year.

Data Replication

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 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."

"StreamSets is the leader in the market."

"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."

"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 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"

"In StreamSets, everything is in one place."

"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."

"The scheduling within the data engineering pipeline is very much appreciated, and it has a wide range of connectors for connecting to any data sources like SQL Server, AWS, Azure, etc. We have used it with Kafka, Hadoop, and Azure Data Factory Datasets. Connecting to these systems with StreamSets is very easy."

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 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."

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

"We create pipelines or jobs in StreamSets Control Hub. It is a great feature, but if there is a way to have a folder structure or organize the pipelines and jobs in Control Hub, it would be great. I submitted a ticket for this some time back."

"One thing that I would like to add is the ability to manually enter data. The way the solution currently works is we don't have the option to manually change the data at any point in time. Being able to do that will allow us to do everything that we want to do with our data. Sometimes, we need to manually manipulate the data to make it more accurate in case our prior bifurcation filters are not good. If we have the option to manually enter the data or make the exact iterations on the data set, that would be a good thing."

"There aren't enough hands-on labs, and debugging is also an issue because it takes a lot of time. Logs are not that clear when you are debugging, and you can only select a single source for a pipeline."

"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."

"They need to improve their customer care services. Sometimes it has taken more than 48 hours to resolve an issue. That should be reduced. They are aware of small or generic issues, but not the more technical or deep issues. For those, they require some time, generally 48 to 72 hours to respond. That should be improved."

"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."

More StreamSets cons

Pricing and Cost Advice

Information not available

"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."

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

"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."

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

"There are different versions of the product. One is the corporate license version, and the other one is the open-source or free version. I have been using the corporate license version, but they have recently launched a new open-source version so that anybody can create an account and use it. The licensing cost varies from customer to customer. I don't have a lot of input on that. It is taken care of by PMO, and they seem fine with its pricing model. It is being used enterprise-wide. They seem to have got a good deal for StreamSets."

"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."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

21%

Financial Services Firm

13%

Manufacturing Company

Retailer

Financial Services Firm

12%

Computer Software Company

11%

Manufacturing Company

10%

Insurance Company

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....

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

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Compared 11% of the time

EDB Postgres Replication Server vs JumpMind SymmetricDS

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Compared 13% of the time

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Compared 12% of the time

webMethods.io vs StreamSets

Compared 10% of the time

Azure Data Factory vs StreamSets

Compared 7% of the time

Fivetran vs StreamSets

Compared 6% of the time

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Product Reports

Buyer's Guide

Data Replication

June 2025

Download JumpMind SymmetricDS product report

Buyer's Guide

StreamSets

May 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

June 2025

Free Report: JumpMind SymmetricDS vs. StreamSets

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