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Ab Initio Co>Operating System vs StreamSets comparison

Ab Initio and IBM are both solutions in the Data Integration category. Ab Initio is ranked #26 with an average rating of 8.5, while IBM is ranked #22 with an average rating of 9.0. Ab Initio holds a 1.6% mindshare in DI, compared to IBM’s 1.4% mindshare. Additionally, 80% of Ab Initio users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.
Ab Initio Co>Operating System
Read 4 Ab Initio Co>Operating System reviews
  • 2,306 Views
  • 1,476 Comparison Views
80% willing to recommend
StreamSets
Read 21 StreamSets reviews
  • 2,717 Views
  • 1,983 Comparison Views
100% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 19, 2024

Ab Initio Co>Operating System and StreamSets compete in data management and integration, with Ab Initio often preferred for handling complex workflows due to its reliability.

Features: Ab Initio Co>Operating System offers a comprehensive suite for data processing, known for its scalability and stability in managing large datasets. StreamSets features an adaptable architecture optimized for real-time analytics, making it suitable for changing data environments. Ab Initio focuses on robust enterprise workflows, while StreamSets emphasizes agility with continuous data ingestion.

Ease of Deployment and Customer Service: StreamSets provides a simplified deployment with strong community support and cloud-native design for easy integration across environments. Ab Initio requires more structured deployment but offers reliable support services, highlighting its focus on high-assurance assistance.

Pricing and ROI: Ab Initio involves higher initial costs, yielding substantial ROI due to its powerful data processing capabilities for enterprises needing comprehensive solutions. StreamSets offers a cost-effective entry point with a compelling ROI for organizations seeking modern data pipeline management and swift deployment.

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To learn more, read our detailed Ab Initio Co>Operating System vs. StreamSets Report (Updated: September 2025).
Buyer's Guide
Ab Initio Co>Operating System vs. StreamSets
September 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

Ab Initio Co>Operating System
Ranking in Data Integration
26th
Average Rating
9.0
Reviews Sentiment
7.7
Number of Reviews
4
Ranking in other categories
Workload Automation (17th)
StreamSets
Ranking in Data Integration
22nd
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
21
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2025, in the Data Integration category, the mindshare of Ab Initio Co>Operating System is 1.6%, up from 0.8% compared to the previous year. The mindshare of StreamSets is 1.4%, down from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
StreamSets1.4%
Ab Initio Co>Operating System1.6%
Other97.0%
Data Integration
 

Featured Reviews

AM
Enables creation of sophisticated applications with powerful parallelism and quick, effective support
The most valuable features of Ab Initio Co>Operating System are its performance and the ability to implement parallelism. There are three kinds of parallelism in Ab Initio Co>Operating System, which allow us to create very sophisticated solutions for almost any kind of application. This parallelism is one of the strongest features. Additionally, its scalability offers a unique way to escalate applications that differs from other technologies. In terms of data processing, the emphasis is on understanding the data. Data profiling is fundamental, and Ab Initio Co>Operating System integrates tools to perform this within the GDE, as well as specialized products for this purpose. Data profiling graphs can be implemented when necessary to understand the data sources.
Read full review
Ved Prakash Yadav - PeerSpot reviewer
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

"Ab Initio reaches the highest performance and is very flexible in processing huge amounts of data."
"Co>Operating System's most valuable feature is its ability to process bulk data effectively."
"The graphical interface of Ab Initio Co>Operating System is very easy to understand and allows me to visualize the data flow effectively."
"Ab Initio Co>Operating System support is the best I have encountered."
"Also, the intuitive canvas for designing all the streams in the pipeline, along with the simplicity of the entire product are very big pluses for me. The software is very simple and straightforward. That is something that is needed right now."
"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."
"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."
"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 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 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."
"It is really easy to set up and the interface is easy to use."
More StreamSets pros
 

Cons

"Ab Initio Co>Operating System is a very expensive product."
"An awesome improvement would be big data solutions, for example, implementing some kind of business intelligence or neural networks for artificial intelligence."
"Co>Operating System would be improved with more integrations for less well-known technologies."
"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."
"We've seen a couple of cases where it appears to have a memory leak or a similar problem."
"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."
"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 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."
"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. That would be a really good thing that we could use immediately. For example, if you have 100 tables in SQL Server or Oracle, then you could just point it to the schema or the 100 tables and ingestion information. However, you can't do that in SAP HANA since StreamSets currently is lacking in this. They do not have a multi-table feature for SAP HANA. Therefore, a multi-table origin for SAP HANA would be helpful."
"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."
"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

"Co>Operating System's pricing is on the expensive end since it tends to be used by big enterprises."
"We are running the community version right now, which can be used free of charge."
"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."
"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."
"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 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."
More StreamSets pricing and cost advice
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Top Industries

By visitors reading reviews
Financial Services Firm
34%
Computer Software Company
8%
Insurance Company
6%
Comms Service Provider
5%
Computer Software Company
11%
Financial Services Firm
9%
Manufacturing Company
9%
Insurance Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise2
Large Enterprise11
 

Questions from the Community

What needs improvement with Ab Initio Co>Operating System?
If Ab Initio Co>Operating System could provide an environment that allows users to practice or use it on their own computers, it would be beneficial. Additionally, having more accessible online ...
See all answers
What is your primary use case for Ab Initio Co>Operating System?
I am primarily in charge of building applications using Ab Initio Co>Operating System.
See all answers
What advice do you have for others considering Ab Initio Co>Operating System?
If Ab Initio Co>Operating System provided an environment for users to practice on their own computers, it would be preferable. I sometimes recommend it based on company needs. I rate it eight or...
See all answers
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 Integration
August 2025
Ab Initio Co>Operating System reportDownload Ab Initio Co>Operating System product report
Buyer's Guide
StreamSets
August 2025
StreamSets reportDownload StreamSets product report
 

Also Known As

Co>Operating System
No data available
 

Overview

Ab Initio Co>Operating System offers powerful data processing capabilities, catering to big data needs with robustness and flexibility. Its architecture is designed for high performance, efficient data management, and advanced analytics, making it suitable for tech-savvy industries.

Ab Initio Co>Operating System provides an integrated platform that simplifies data processing tasks, from data validation to complex data transformations. It's engineered to handle large data volumes with efficiency, featuring an intuitive design and consistent performance. This makes it indispensable for industries requiring seamless integration and processing power, supported by tools for debugging, metadata management, and data profiling.

What are the key features of Ab Initio Co>Operating System?
  • Graphical Development Environment: Provides a user-friendly interface for designing data transformations.
  • Parallel Processing: Enables efficient handling of large datasets by leveraging parallelism.
  • Data Quality Management: Offers comprehensive tools for ensuring data accuracy and consistency.
  • Metadata Management: Facilitates easy access and management of data lineage and metadata.
What benefits and ROI should users consider?
  • Scalability: Easily adapts to increasing data and processing demands, minimizing additional costs.
  • Time Efficiency: Reduces development and processing time, enhancing productivity.
  • Cost Savings: Lowers operational expenses through efficient resource use.
  • Data Accuracy: Ensures reliable data quality, critical for decision-making processes.

In industries like telecommunications and finance, Ab Initio Co>Operating System is implemented to streamline data workflows and provide real-time analytics. Its role in these sectors involves batch processing, complex event processing, and integrating diverse sources, addressing the demands for agility and performance excellence.

Ab Initio

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

A multinational transportation company
Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge
Buyer's Guide
Ab Initio Co>Operating System vs. StreamSets
September 2025
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