OpenText Trading Grid vs StreamSets comparison

OpenText and IBM are both solutions in the Cloud Data Integration category. Additionally, 50% of OpenText users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

OpenText Trading Grid

Read 1 OpenText Trading Grid review

65 Views
46 Comparison Views

50% willing to recommend

StreamSets

Read 21 StreamSets reviews

2,256 Views
1,582 Comparison Views

100% willing to recommend

OpenText Trading Grid

StreamSets

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Executive Summary

We performed a comparison between OpenText Trading Grid and StreamSets based on real PeerSpot user reviews.

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Buyer's Guide

Cloud Data Integration

May 2025

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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

OpenText Trading Grid

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Business-to-Business Middleware (12th), Cloud Data Integration (30th), Integration Platform as a Service (iPaaS) (19th)

StreamSets

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Integration (16th)

Featured Reviews

VARUNKUMAR

Mgr Value Chain Integration/EDI at a non-tech company with 10,001+ employees

Industry-leading, easy to implement, and has good mapping specification guidelines

The good thing about OpenText is that we have the mapping specification guideline available, which is not there in a solution like SEEBURGER. Whenever you want to take a decision to move away from OpenText, you have already documented your mapping and what your mapping looks like. So you go to the next provider, provide them with that mapping specification, and it'll be very easy for them to develop a new map instead of just taking the data - input data, output data - and then looking for how the data is getting transformed. So you have the mapping spec level which is a very good feature of OpenText, which we do not have in SEEBURGER. It's very hard to move from SEEBURGER. The solution is easy to implement. It's stable and reliable. They are the industry leaders in the integration space.

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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.

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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

"The solution is easy to implement."

"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 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."

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

"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 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."

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

More StreamSets pros

Cons

"Technical support needs to be better."

"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."

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

"The monitoring visualization is not that user-friendly. It should include other features to visualize things, like how many records were streamed from a source to a destination on a particular date."

"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."

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

"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."

More StreamSets cons

Pricing and Cost Advice

Information not available

"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."

"I believe the pricing is not equitable."

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

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

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

"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."

"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."

"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

14%

Manufacturing Company

13%

Retailer

11%

Real Estate/Law Firm

Financial Services Firm

13%

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

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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

SPS Commerce Fulfillment (EDI) vs OpenText Trading Grid

Compared 25% of the time

IBM Sterling B2B Integration Services vs OpenText Trading Grid

Compared 25% of the time

SEEBURGER Business Integration Suite vs OpenText Trading Grid

Compared 14% of the time

MuleSoft Anypoint Platform vs OpenText Trading Grid

Compared 11% of the time

SAP Cloud Platform vs OpenText Trading Grid

Compared 9% of the time

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Informatica PowerCenter vs StreamSets

Compared 12% of the time

IBM InfoSphere DataStage vs StreamSets

Compared 12% of the time

webMethods.io vs StreamSets

Compared 9% of the time

Fivetran vs StreamSets

Compared 7% of the time

Azure Data Factory vs StreamSets

Compared 7% of the time

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Product Reports

Buyer's Guide

Business-to-Business Middleware

May 2025

Download OpenText Trading Grid product report

Buyer's Guide

StreamSets

April 2025

Download StreamSets product report

Also Known As

Trading Grid, GXS Trading Grid

No data available

Overview

OpenText Trading Grid (formerly GXS) is a unique global integration platform that enables and streamlines cross enterprise business processes. With extreme flexibility and a service-oriented, business-to-business e-commerce platform, the Grid helps companies automate global trading communities by shielding complexity from rapidly changing standards, eliminating manual and duplicative efforts and enabling a new level of process integration and business intelligence.

OpenText

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

Autoliv, Hella, Hutchinson, Michelin

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

Buyer's Guide

Cloud Data Integration

May 2025

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