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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 #27 with an average rating of 8.5, while IBM is ranked #23 with an average rating of 8.8. Ab Initio holds a 1.7% mindshare in DI, compared to IBM’s 1.6% 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
  • 1,472 Views
  • 869 Comparison Views
80% willing to recommend
StreamSets
Read 21 StreamSets reviews
  • 2,082 Views
  • 1,312 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: May 2025).
Buyer's Guide
Ab Initio Co>Operating System vs. StreamSets
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

Ab Initio Co>Operating System
Ranking in Data Integration
27th
Average Rating
9.0
Reviews Sentiment
7.7
Number of Reviews
4
Ranking in other categories
Workload Automation (17th)
StreamSets
Ranking in Data Integration
23rd
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 July 2025, in the Data Integration category, the mindshare of Ab Initio Co>Operating System is 1.7%, up from 0.7% compared to the previous year. The mindshare of StreamSets is 1.6%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
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.
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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

"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 reaches the highest performance and is very flexible in processing huge amounts of data."
"Ab Initio Co>Operating System support is the best I have encountered."
"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."
"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 ability to have a good bifurcation rate and fewer mistakes is valuable."
"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"
"It is really easy to set up and the interface is easy to use."
"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."
"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."
"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."
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."
"One thing that I would like to add is the ability to manually enter data. The way the solution currently works is we don't have the option to manually change the data at any point in time. Being able to do that will allow us to do everything that we want to do with our data. Sometimes, we need to manually manipulate the data to make it more accurate in case our prior bifurcation filters are not good. If we have the option to manually enter the data or make the exact iterations on the data set, that would be a good thing."
"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 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."
"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 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."
"In terms of the product, I don't think there is any room for improvement because it is very good. One small area of improvement that is very much needed is on the knowledge base side. Sometimes, it is not very clear how to set up a certain process or a certain node for a person who's using the platform for the first time."
"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."
"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."
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."
"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."
"There are two editions, Professional and Enterprise, and there is a free trial. We're using the Professional edition and it is competitively priced."
"It's not so favorable for small companies."
"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."
"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."
"The pricing is affordable for any business."
"It has a CPU core-based licensing, which works for us and is quite good."
More StreamSets pricing and cost advice
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Top Industries

By visitors reading reviews
Financial Services Firm
35%
Computer Software Company
9%
Insurance Company
7%
Comms Service Provider
5%
Financial Services Firm
12%
Computer Software Company
11%
Manufacturing Company
10%
Insurance Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

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
June 2025
Ab Initio Co>Operating System reportDownload Ab Initio Co>Operating System product report
Buyer's Guide
StreamSets
June 2025
StreamSets reportDownload StreamSets product report
 

Also Known As

Co>Operating System
No data available
 

Overview

Ab Initio Co>Operating System is used for data integration, ETL processes, and complex data transformations. It is robust in handling large-scale data processing and batch processing, offering scalability, reliability, and performance for managing heavy workloads.

Ab Initio Co>Operating System provides real-time data processing capabilities, an intuitive meta-programming environment, and efficient batch job execution. Users appreciate its flexibility in supporting various data sources and platforms. Primary use cases involve addressing complex data transformations and integration needs, enhancing productivity and efficiency.

What are the key features of Ab Initio Co>Operating System?
  • Scalability: Efficiently handles large-scale data processing and batch processing.
  • Robust Parallel Processing: Delivers powerful ETL capabilities with strong performance.
  • Intuitive Drag-and-Drop Interface: Simplifies creating and managing data workflows.
  • Flexible Data Integration: Supports diverse data sources seamlessly.
  • Error Handling and Debugging: Features strong tools for managing and resolving issues.
  • Automation: Automates repetitive tasks, streamlining operations.
  • Seamless Integration: Easily integrates with other tools, enhancing workflow efficiency.
What benefits and ROI should be considered?
  • Performance: High reliability and performance in managing heavy workloads.
  • Efficiency: Real-time data processing enhances productivity and decision-making.
  • Scalability: Efficient scaling to meet growing data processing needs.
  • Flexibility: Supports a wide range of data sources and platforms.
  • Usability: Intuitive interface and automation reduce learning curve and improve efficiency.

Industries implement Ab Initio Co>Operating System for its reliable data integration and ETL capabilities. Financial services use it for processing large volumes of transactional data, while retail sectors apply it for real-time analysis of customer data. Healthcare organizations leverage its robust processing for managing patient records and data aggregation.

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
May 2025
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