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Boomi iPaaS vs StreamSets comparison

 

Comparison Buyer's Guide

Executive Summary

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

Boomi iPaaS
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
27
Ranking in other categories
Integration Platform as a Service (iPaaS) (6th)
StreamSets
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
20
Ranking in other categories
Data Integration (9th)
 

Mindshare comparison

Boomi iPaaS and StreamSets aren’t in the same category and serve different purposes. Boomi iPaaS is designed for Integration Platform as a Service (iPaaS) and holds a mindshare of 9.7%, up 8.0% compared to last year.
StreamSets, on the other hand, focuses on Data Integration, holds 1.6% mindshare, up 1.3% since last year.
Integration Platform as a Service (iPaaS)
Data Integration
 

Featured Reviews

Eugene Paden - PeerSpot reviewer
Integration solution proves maturity and drives productivity
There are many features we're using. We're starting to do AI now regarding integration with other platforms, focusing on creating integrations. A significant area for improvement is version control. Currently, you develop and cannot properly roll back to a previous version unless you create different versions. With proper version control, you could know which version to revert to and test other versions.
Reyansh Kumar - PeerSpot reviewer
We no longer need to hire highly skilled data engineers to create and monitor data pipelines
The things I like about StreamSets are its * overall user interface * efficiency * product features, which are all good. Also, 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. You just need to configure the data sources, the paths and their configurations, and you are ready to go. It is very efficient and very easy to use for ETL pipelines. It is a GUI-based interface in which you can easily create or design your own data pipelines with just a few clicks. As for moving data into modern analytics systems, we are using it with Microsoft Power BI, AWS, and some on-premises solutions, and it is very easy to get data from StreamSets into them. No hardcore coding or special technical expertise is required. It is also a no-code platform in which you can configure your data sources and data output for easy configuration of your data pipeline. This is a very important aspect because if a tool requires code development, we need to hire software developers to get the task done. By using StreamSets, it can be done with a few clicks.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The product's integration features are quite rich and low code. It is easy to use."
"It is a low-code and high-configuration platform, which is very valuable. Develop once and run anywhere is another useful feature. It also has connectors for more than 200 applications. It provides value for money. Our customers who have implemented this solution have a very high ROI."
"The platform is user-friendly."
"The tool's most valuable features I've found are related to debugging and testing. It makes it easy to track execution, documents, and process history. This functionality is particularly useful for identifying issues with data and providing insights to the business."
"Boomi iPaaS has substantially reduced operational costs by providing out-of-the-box connectors that expedite the integration process with enterprise systems."
"I have found the solution to be scalable."
"The most valuable feature of the solution is its monitoring part to debug certain issues and find problems."
"We work on the flow between systems and the most valuable features for that purpose are the mapping of data, interface mapping, and data integration."
"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."
"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 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 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."
"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 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 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."
"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."
 

Cons

"It is a costly platform. Its pricing could be better."
"It crashes if we run high-volume integration."
"Lots of enhancements are needed in the API portal so that the developers can view the definitions, try out the APIs, etc."
"There is no validation in the mapping profile custom scripting, such as IntelliSense or advanced error checking."
"There should be more scripting possibilities."
"The high price of the solution is an area of concern where improvements are required."
"They need to introduce more configurable functions to remove scripting or coding. Scripting should be minimized. It should have exhaustive functions. Currently, it lacks in this aspect."
"The deployment was simple, but the implementation is missing a lot of capabilities."
"The software is very good overall. Areas for improvement are the error logging and the version history. I would like to see better, more detailed error logging information."
"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."
"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."
"We've seen a couple of cases where it appears to have a memory leak or a similar problem."
"Visualization and monitoring need to be improved and refined."
"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 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."
"StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds."
 

Pricing and Cost Advice

"The pricing is not reasonable at all. It's very high."
"The pricing is a bit complex. While the entry fee may be lower than other solutions, it could be expensive depending on your usage."
"Approximately 20k annually."
"It is an expensive platform."
"They do not charge by the number of people using the software (client-server model), but rather they charge based on the number of connections used. This makes it very cost effective."
"Boomi AtomSphere Integration is expensive. I rate its pricing an eight out of ten."
"There could be an easy-to-understand licensing model."
"AtomSphere Integration's pricing is competitive, and I would rate it seven out of ten."
"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."
"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 two editions, Professional and Enterprise, and there is a free trial. We're using the Professional edition and it is competitively priced."
"I believe the pricing is not equitable."
"The pricing is affordable for any business."
"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."
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Top Industries

By visitors reading reviews
Computer Software Company
15%
Manufacturing Company
11%
Financial Services Firm
9%
Government
6%
Financial Services Firm
18%
Computer Software Company
11%
Manufacturing Company
10%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Boomi AtomSphere Integration?
The tool's most valuable features I've found are related to debugging and testing. It makes it easy to track execution, documents, and process history. This functionality is particularly useful for...
What is your experience regarding pricing and costs for Boomi AtomSphere Integration?
Pricing varies and they have changed it over the years. It depends on the company size and the value derived from the platform. While pricing is relative, compared to others, it is favorable. Clien...
What needs improvement with Boomi AtomSphere Integration?
There are many features we're using. We're starting to do AI now regarding integration with other platforms, focusing on creating integrations. A significant area for improvement is version control...
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...
What needs improvement with StreamSets?
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 ...
What is your primary use case for StreamSets?
StreamSets is used for data transformation rather than ETL processes. It focuses on transforming data directly from sources without handling the extraction part of the process. The transformed data...
 

Also Known As

Boomi
No data available
 

Overview

 

Sample Customers

DocuSign Inc., Innotas, Certent, Renesas Electronics America (REA), Kelly-Moore Paints, Mindjet, City of McKinney, Ritchie Bros. Auctioneers (RBA), Daylight Transport, A10 Networks
Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge
Find out what your peers are saying about Boomi iPaaS vs. StreamSets and other solutions. Updated: July 2023.
832,138 professionals have used our research since 2012.