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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 #47, while IBM is ranked #15 with an average rating of 8.4. Ab Initio holds a 1.6% mindshare in DI, compared to IBM’s 1.6% mindshare. Additionally, 75% 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 3 Ab Initio Co>Operating System reviews
  • 1,635 Views
  • 1,058 Comparison Views
75% willing to recommend
StreamSets
Read 21 StreamSets reviews
  • 2,378 Views
  • 1,645 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: April 2025).
Buyer's Guide
Ab Initio Co>Operating System vs. StreamSets
April 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
47th
Average Rating
9.4
Reviews Sentiment
7.9
Number of Reviews
3
Ranking in other categories
Workload Automation (29th)
StreamSets
Ranking in Data Integration
15th
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 May 2025, in the Data Integration category, the mindshare of Ab Initio Co>Operating System is 1.6%, 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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Karthik Rajamani - PeerSpot reviewer
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

"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."
"Ab Initio Co>Operating System support is the best I have encountered."
"The best feature that I really like is the integration."
"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 ability to have a good bifurcation rate and fewer mistakes is valuable."
"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 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 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."
"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."
More StreamSets pros
 

Cons

"Co>Operating System would be improved with more integrations for less well-known technologies."
"An awesome improvement would be big data solutions, for example, implementing some kind of business intelligence or neural networks for artificial intelligence."
"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 documentation is inadequate and has room for improvement because the technical support does not regularly update their documentation or the knowledge base."
"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."
"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."
"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."
"There aren't enough hands-on labs, and debugging is also an issue because it takes a lot of time. Logs are not that clear when you are debugging, and you can only select a single source for a pipeline."
"Visualization and monitoring need to be improved and refined."
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."
"There are different versions of the product. One is the corporate license version, and the other one is the open-source or free version. I have been using the corporate license version, but they have recently launched a new open-source version so that anybody can create an account and use it. The licensing cost varies from customer to customer. I don't have a lot of input on that. It is taken care of by PMO, and they seem fine with its pricing model. It is being used enterprise-wide. They seem to have got a good deal for StreamSets."
"There are two editions, Professional and Enterprise, and there is a free trial. We're using the Professional edition and it is competitively priced."
"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."
"I believe the pricing is not equitable."
"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."
"It's not so favorable for small companies."
"The pricing is affordable for any business."
More StreamSets pricing and cost advice
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Top Industries

By visitors reading reviews
Financial Services Firm
38%
Computer Software Company
10%
Insurance Company
7%
University
5%
Financial Services Firm
14%
Computer Software Company
11%
Manufacturing Company
9%
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?
Ab Initio Co>Operating System has its own paradigm, requiring a new approach to problem-solving that differs from traditional paradigms like object-oriented programming. While many people sugges...
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What is your primary use case for Ab Initio Co>Operating System?
My main experience with Ab Initio Co>Operating System has been in banking. I have architected and developed many applications, some in the backend as ETL solutions but also to generate different...
See all answers
What advice do you have for others considering Ab Initio Co>Operating System?
On a scale of one to ten, I would rate Ab Initio Co>Operating System a nine. It is a very good technology for solving large data problems or approaching big data solutions. However, it is not su...
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
March 2025
Ab Initio Co>Operating System reportDownload Ab Initio Co>Operating System product report
Buyer's Guide
StreamSets
April 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
April 2025
Free Report: Ab Initio Co>Operating System vs. StreamSets
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