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 1.9% mindshare in the category. IBM is ranked #16 in DI , with an average rating of 8.6, 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

156 Views
93 Comparison Views

100% willing to recommend

StreamSets

Read 21 StreamSets reviews

2,256 Views
1,582 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: April 2025).

Buyer's Guide

JumpMind SymmetricDS vs. StreamSets

April 2025

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Helped 850,076 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 (16th)

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 1.9%, up 1.9% 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

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.

Read full review

Karthik Rajamani

Principal Engineer at Tata Consultancy Services

Integrates with different enterprise systems and enables us to easily build data pipelines without knowing how to code

There are a few things that can be better. 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. There are certain features that are only available at certain stages. For example, HTTP Client has some great features when it is used as a processor, but those features are not available in HTTP Client as a destination. There could be some improvements on the group side. Currently, if I want to know which users are a part of certain groups, it is not straightforward to see. You have to go to each and every user and check the groups he or she is a part of. They could improve it in that direction. Currently, we have to put in a manual effort. In case something goes wrong, we have to go to each and every user account to check whether he or she is a part of a certain group or not.

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."

"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."

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

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

"The ETL capabilities are very useful for us. We extract and transform data from multiple data sources, into a single, consistent data store, and then we put it in our systems. We typically use it to connect our Apache Kafka with data lakes. That process is smooth and saves us a lot of time in our production systems."

"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 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"

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."

"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."

"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."

"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."

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

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

"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 area for improvement could be the cloud storage server speed, as we have faced some latency issues here and there."

More StreamSets cons

Pricing and Cost Advice

Information not available

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

"The pricing is affordable for any business."

"I believe the pricing is not equitable."

"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 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."

"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."

"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."

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

More StreamSets pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

22%

Financial Services Firm

12%

Retailer

Manufacturing Company

Financial Services Firm

14%

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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Product Reports

Buyer's Guide

Data Replication

May 2025

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Buyer's Guide

StreamSets

April 2025

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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

April 2025

Free Report: JumpMind SymmetricDS vs. StreamSets

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