Ab Initio Co>Operating System vs StreamSets comparison

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2,220 views|1,112 comparisons
66% willing to recommend
StreamSets Logo
4,200 views|2,349 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Ab Initio Co>Operating System and StreamSets based on real PeerSpot user reviews.

Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Ab Initio Co>Operating System vs. StreamSets Report (Updated: May 2024).
771,157 professionals have used our research since 2012.
Featured 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."

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"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 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 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.""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 UI is user-friendly, it doesn't require any technical know-how and we can navigate to social media or use it more easily.""One of the things I like is the data pipelines. They have a very good design. Implementing pipelines is very straightforward. It doesn't require any technical skill.""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 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."

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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."

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"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.""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 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.""Using ETL pipelines is a bit complicated and requires some technical aid.""One area for improvement could be the cloud storage server speed, as we have faced some latency issues here and there.""We've seen a couple of cases where it appears to have a memory leak or a similar problem.""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.""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."

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Pricing and Cost Advice
  • "Co>Operating System's pricing is on the expensive end since it tends to be used by big enterprises."
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  • "We are running the community version right now, which can be used free of charge."
  • "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."
  • "It has a CPU core-based licensing, which works for us and is quite good."
  • "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."
  • "The pricing is good, but not the best. They have some customized plans you can opt for."
  • "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."
  • "The overall cost for small and mid-size organizations needs to be better."
  • "There are two editions, Professional and Enterprise, and there is a free trial. We're using the Professional edition and it is competitively priced."
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    Questions from the Community
    Top Answer:Co>Operating System's most valuable feature is its ability to process bulk data effectively.
    Top Answer:Co>Operating System would be improved with more integrations for less well-known technologies. In the next release, Co>Operating System should include some AI capabilities on the data governance side… more »
    Top Answer:Co>Operating System is best suited for big enterprises. I would rate it nine out of ten.
    Top Answer: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… more »
    Top Answer: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… more »
    Top Answer: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 is… more »
    Ranking
    29th
    out of 101 in Data Integration
    Views
    2,220
    Comparisons
    1,112
    Reviews
    1
    Average Words per Review
    232
    Rating
    9.0
    8th
    out of 101 in Data Integration
    Views
    4,200
    Comparisons
    2,349
    Reviews
    22
    Average Words per Review
    1,306
    Rating
    8.4
    Comparisons
    Also Known As
    Co>Operating System
    Learn More
    Ab Initio
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    StreamSets
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    Overview
    The Co>Operating System is an environment for building, integrating, and running enterprise business applications. The Co>Operating System is the foundation for all of Ab Initio's technologies. These technologies provide a complete and seamless application development and execution environment.

    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.

    Sample Customers
    A multinational transportation company
    Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm41%
    Computer Software Company9%
    Insurance Company6%
    Educational Organization6%
    REVIEWERS
    Financial Services Firm21%
    Energy/Utilities Company21%
    Comms Service Provider14%
    Computer Software Company14%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company13%
    Manufacturing Company8%
    Government7%
    Company Size
    VISITORS READING REVIEWS
    Small Business12%
    Midsize Enterprise7%
    Large Enterprise81%
    REVIEWERS
    Small Business40%
    Midsize Enterprise12%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise74%
    Buyer's Guide
    Ab Initio Co>Operating System vs. StreamSets
    May 2024
    Find out what your peers are saying about Ab Initio Co>Operating System vs. StreamSets and other solutions. Updated: May 2024.
    771,157 professionals have used our research since 2012.

    Ab Initio Co>Operating System is ranked 29th in Data Integration with 2 reviews while StreamSets is ranked 8th in Data Integration with 24 reviews. Ab Initio Co>Operating System is rated 9.6, while StreamSets is rated 8.4. The top reviewer of Ab Initio Co>Operating System writes "Excellent bulk data processing for large enterprises". On the other hand, the top reviewer of StreamSets writes "We no longer need to hire highly skilled data engineers to create and monitor data pipelines". Ab Initio Co>Operating System is most compared with SSIS, Collibra Catalog, AWS Glue, Azure Data Factory and Talend Data Management Platform, whereas StreamSets is most compared with Fivetran, Azure Data Factory, Informatica PowerCenter, SSIS and IBM InfoSphere DataStage. See our Ab Initio Co>Operating System vs. StreamSets report.

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    We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.