JumpMind SymmetricDS vs StreamSets comparison

The compared JumpMind and IBM solutions aren't in the same category. JumpMind is ranked #14 in DR , and holds a 4.3% mindshare in the category. IBM is ranked #24 in DI , with an average rating of 9.5, and holds a 1.1% 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

2,398 Views
767 Comparison Views

100% willing to recommend

StreamSets

Read 21 StreamSets reviews

4,142 Views
3,189 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 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: August 2026).

Buyer's Guide

Data Replication

August 2026

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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

JumpMind SymmetricDS

Average Rating

9.0

Reviews Sentiment

8.3

Number of Reviews

Ranking in other categories

Data Replication (14th)

StreamSets

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Integration (24th)

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 4.3%, up 2.6% compared to last year.
StreamSets, on the other hand, focuses on Data Integration, holds 1.1% mindshare, down 1.5% since last year.

Data Replication Mindshare Distribution
Product	Mindshare (%)
JumpMind SymmetricDS	4.3%
NetApp SnapMirror	7.3%
Vision Solutions Double-Take	6.2%
Other	82.2%

Data Replication

Data Integration Mindshare Distribution
Product	Mindshare (%)
StreamSets	1.1%
Informatica Intelligent Data Management Cloud (IDMC)	3.8%
SSIS	3.7%
Other	91.4%

Data Integration

Featured Reviews

it_user1625691

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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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."

"Customer Service: We have a support contract with Jumpmind. The support resources are readily available and provide expert support to any questions."

"It is fully featured, has allowed me to do everything I wanted to do, is very easy to use and install, is pretty self-explanatory, and their support was also very good."

"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."

"It has helped us in moving into the data analytics world at a faster pace than any other tool would have done."

"The best feature that I really like is the integration."

"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."

"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 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."

"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."

"One of the things I like is the data pipelines. They have a very good design. Implementing pipelines is very straightforward. It doesn't require any technical skill."

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."

"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'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."

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

"If the data processing in StreamSets takes a long time as compared to the previous solution, then we will reconsider why we use StreamSets."

"Currently, we can only use the query to read data from SAP HANA. What we would like to see, as soon as possible, is the ability to read from multiple tables from SAP HANA."

"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."

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

More StreamSets cons

Pricing and Cost Advice

Information not available

"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."

"I believe the pricing is not equitable."

"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."

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

"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."

"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."

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Construction Company

13%

Manufacturing Company

12%

Healthcare Company

Computer Software Company

Financial Services Firm

12%

Comms Service Provider

Manufacturing Company

Outsourcing 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 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

What advice do you have for others considering StreamSets?

If asked, I definitely recommend StreamSets to other users. My overall rating for the solution is nine.

See all answers

Comparisons

HiT Software DBMoto vs JumpMind SymmetricDS

Compared 7% of the time

Fivetran vs JumpMind SymmetricDS

Compared 6% of the time

EDB Postgres Replication Server vs JumpMind SymmetricDS

Compared 6% of the time

Dell RecoverPoint vs JumpMind SymmetricDS

Compared 5% of the time

Oracle GoldenGate vs JumpMind SymmetricDS

Compared 5% of the time

More JumpMind SymmetricDS Competitors

Pentaho Data Integration and Analytics vs StreamSets

Compared 9% of the time

Informatica PowerCenter vs StreamSets

Compared 6% of the time

SSIS vs StreamSets

Compared 5% of the time

Confluent vs StreamSets

Compared 5% of the time

Spring Cloud Data Flow vs StreamSets

Compared 5% of the time

More StreamSets Competitors

Product Reports

Buyer's Guide

Data Replication

August 2026

Download JumpMind SymmetricDS product report

Buyer's Guide

StreamSets

July 2026

Download StreamSets product report

Also Known As

SymmetricDS

No data available

Overview

JumpMind SymmetricDS is an advanced data replication and synchronization software designed to meet the demands of modern enterprise environments, ensuring reliable data consistency across diverse systems and platforms.

Making its mark as a trusted tool, JumpMind SymmetricDS efficiently handles high-volume data transfers in distributed architectures. Its ability to support cross-platform databases and operate in heterogeneous environments highlights its adaptability, appealing to enterprises seeking robust data integration and synchronization. Users have applauded its real-time synchronization capabilities, which play a crucial role in facilitating seamless operations.

What are the key features of JumpMind SymmetricDS?

Bidirectional Data Synchronization: Enables real-time data flow, ensuring continuous data accuracy.
Cross-Platform Support: Compatible with multiple databases and systems, enhancing integration flexibility.
Conflict Detection and Resolution: Identifies and resolves data discrepancies efficiently.
Flexible Configuration: Allows customization to fit unique enterprise environments.

What benefits or ROI should users look for?

Reduced Downtime: Enhances operational efficiency by minimizing interruptions.
Cost Savings: Lowers maintenance expenses with efficient resource utilization.
Scalability: Adapts to growing data requirements without performance degradation.
Improved Data Integrity: Maintains consistent and reliable data flow across systems.

In industries like retail and finance, JumpMind SymmetricDS plays a critical role in data integration, supporting omnichannel strategies and enabling precise financial transactions by ensuring data remains consistent and up-to-date across different platforms.

JumpMind

StreamSets streamlines data pipeline creation, connecting data from multiple sources to destinations like cloud platforms with minimal coding. Its centralized platform and intuitive design enhance ETL and data migration processes.

StreamSets integrates seamlessly with analytics platforms, offering tools such as Data Collector and Control Hub to facilitate data ingestion, transformation, and machine learning integrations. Its user-friendly interface and ready connectors aid in configuring complex data pipelines. With built-in data drift resilience and scheduling options, users experience efficient, scalable data management, despite challenges like latency in cloud storage and interface enhancement needs. Users often employ StreamSets for batch loading, real-time data processing, and smart data pipeline management, offering comprehensive data integration solutions.

What are the key features of StreamSets?

Data Collector: Enables streamlined data collection and processing.
Control Hub: Centralizes management of data pipelines.
Minimal Coding: Simplifies pipeline configuration with limited code requirement.
Data Drift Resilience: Adapts to changes in data patterns effectively.

What benefits should users look for?

Time-Saving: Efficient processes reduce manual effort.
Scalability: Easily manages large datasets.
Integration: Connects with leading analytics and cloud platforms.
Real-Time Processing: Supports continuous data delivery for timely insights.

In industries like finance and technology, StreamSets supports data migration, machine learning integrations, and analytics by simplifying data transformation and enhancing decision-making capabilities through its robust pipeline management.

IBM

Sample Customers

SmartMD, Cancer Research UK

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

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