IT Central Station is now PeerSpot: Here's why

Ab Initio Co>Operating System vs Spring Cloud Data Flow comparison

Cancel
You must select at least 2 products to compare!
Featured Review
Buyer's Guide
Data Integration Tools
June 2022
Find out what your peers are saying about Informatica, Microsoft, Talend and others in Data Integration Tools. Updated: June 2022.
610,336 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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.""It is really easy to set up and the interface is easy to use.""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.""In StreamSets, everything is in one place."

More StreamSets Pros →

"Ab Initio reaches the highest performance and is very flexible in processing huge amounts of data."

More Ab Initio Co>Operating System Pros →

"The most valuable feature is real-time streaming.""There are a lot of options in Spring Cloud. It's flexible in terms of how we can use it. It's a full infrastructure."

More Spring Cloud Data Flow Pros →

Cons
"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.""If you use JDBC Lookup, for example, it generally takes a long time to process data.""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.""We've seen a couple of cases where it appears to have a memory leak or a similar problem."

More StreamSets Cons →

"An awesome improvement would be big data solutions, for example, implementing some kind of business intelligence or neural networks for artificial intelligence."

More Ab Initio Co>Operating System Cons →

"Some of the features, like the monitoring tools, are not very mature and are still evolving.""The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand using the Spring Cloud documentation."

More Spring Cloud Data Flow Cons →

Pricing and Cost Advice
  • "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."
  • More StreamSets Pricing and Cost Advice →

    Information Not Available
  • "This is an open-source product that can be used free of charge."
  • More Spring Cloud Data Flow Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Data Integration Tools solutions are best for your needs.
    610,336 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:It is really easy to set up and the interface is easy to use.
    Top Answer:We've seen a couple of cases where it appears to have a memory leak or a similar problem. It grows for a bit and then… more »
    Top Answer:We typically use it to transport our Oracle raw datasets up to Microsoft Azure, and then into SQL databases there.
    Top Answer:Ab Initio reaches the highest performance and is very flexible in processing huge amounts of data.
    Top Answer:An awesome improvement would be big data solutions, for example, implementing some kind of business intelligence or… more »
    Top Answer:My primary use of this solution is in the banking sector to process financial movements and generate reports. I also use… more »
    Top Answer:The configurations could be better. Some configurations are a little bit time-consuming in terms of trying to understand… more »
    Top Answer:Mostly the use cases are related to building a data pipeline. There are multiple microservices that are working in the… more »
    Top Answer:While the deployment is on-premises, the data center is not on-premises. It's in a different geographical location… more »
    Comparisons
    Also Known As
    Co>Operating System
    Learn More
    StreamSets
    Video Not Available
    Ab Initio
    Video Not Available
    Overview

    StreamSets offers an end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps, and power the modern data ecosystem and hybrid integration.

    Only StreamSets provides a single design experience for all design patterns for 10x greater developer productivity; smart data pipelines that are resilient to change for 80% less breakages; and a single pane of glass for managing and monitoring all pipelines across hybrid and cloud architectures to eliminate blind spots and control gaps.

    With StreamSets, you can deliver the continuous data that drives the connected enterprise.

    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.

    Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.
    Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics. Use Spring Cloud Data Flow to connect your Enterprise to the Internet of Anything—mobile devices, sensors, wearables, automobiles, and more.

    Offer
    Learn more about StreamSets
    Learn more about Ab Initio Co>Operating System
    Learn more about Spring Cloud Data Flow
    Sample Customers
    Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge
    A multinational transportation company
    Information Not Available
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company27%
    Insurance Company10%
    Financial Services Firm10%
    Comms Service Provider10%
    VISITORS READING REVIEWS
    Financial Services Firm34%
    Computer Software Company19%
    Comms Service Provider12%
    Insurance Company5%
    VISITORS READING REVIEWS
    Computer Software Company26%
    Financial Services Firm16%
    Comms Service Provider12%
    Retailer6%
    Company Size
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise14%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business9%
    Midsize Enterprise9%
    Large Enterprise82%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise12%
    Large Enterprise73%
    Buyer's Guide
    Data Integration Tools
    June 2022
    Find out what your peers are saying about Informatica, Microsoft, Talend and others in Data Integration Tools. Updated: June 2022.
    610,336 professionals have used our research since 2012.

    Ab Initio Co>Operating System is ranked 24th in Data Integration Tools with 1 review while Spring Cloud Data Flow is ranked 17th in Data Integration Tools with 2 reviews. Ab Initio Co>Operating System is rated 10.0, while Spring Cloud Data Flow is rated 8.0. The top reviewer of Ab Initio Co>Operating System writes "High performance and flexible solution for companies with large amounts of data". On the other hand, the top reviewer of Spring Cloud Data Flow writes "Good logging mechanisms, a strong infrastructure and pretty scalable". Ab Initio Co>Operating System is most compared with SSIS, Collibra Catalog, Talend Data Management Platform, AWS Glue and Oracle Data Integrator (ODI), whereas Spring Cloud Data Flow is most compared with Apache Flink, Mule Anypoint Platform, Amazon Kinesis, TIBCO BusinessWorks and Azure Data Factory.

    See our list of best Data Integration Tools vendors.

    We monitor all Data Integration Tools 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.