StreamSets vs TIBCO Scribe comparison

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StreamSets Logo
4,200 views|2,349 comparisons
100% willing to recommend
TIBCO Logo
513 views|376 comparisons
0% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between StreamSets and TIBCO Scribe based on real PeerSpot user reviews.

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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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 most valuable features are the option of integration with a variety of protocols, languages, and origins.""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.""I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks.""It is really easy to set up and the interface is easy to use.""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.""In StreamSets, everything is in one place.""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."

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"The most valuable feature of TIBCO Scribe is the connectors available to various products."

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Cons
"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.""StreamSets should provide a mechanism to be able to perform data quality assessment when the data is being moved from one source to the target.""StreamSet works great for batch processing but we are looking for something that is more real-time. We need latency in numbers below milliseconds.""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 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.""I would like to see further improvement in the UI. In addition, upgrades are not automatic and they should be automated. Currently, we have to manually upgrade versions.""One area for improvement could be the cloud storage server speed, as we have faced some latency issues here and there.""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."

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"The solution should provide better documentation and scenario-based samples."

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

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    Questions from the Community
    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 »
    Top Answer:The most valuable feature of TIBCO Scribe is the connectors available to various products.
    Top Answer:The solution should provide better documentation and scenario-based samples.
    Top Answer:TIBCO Scribe is used to do some out-of-the-box integration with some packaged products. TIBCO Scribe is a cloud solution that has a lot of connectors, like REST connectors and database connectors to… more »
    Ranking
    8th
    out of 101 in Data Integration
    Views
    4,200
    Comparisons
    2,349
    Reviews
    22
    Average Words per Review
    1,306
    Rating
    8.4
    49th
    out of 101 in Data Integration
    Views
    513
    Comparisons
    376
    Reviews
    1
    Average Words per Review
    470
    Rating
    6.0
    Comparisons
    Also Known As
    Scribe
    Learn More
    StreamSets
    Video Not Available
    Overview

    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.

    Sophisticated website content management system (CMS) designed to address the day-to-day needs of organizations. Scribe allows Publishers to run every aspect of their business on one single system.

    Sample Customers
    Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge
    Armanino, Oklahoma City Thunder, Texas Rangers, Tata Technologies, BenefAction, Indianapolis Motor Speedway, Atdec, Dynasplint Systems
    Top Industries
    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%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company16%
    Government11%
    Healthcare Company7%
    Company Size
    REVIEWERS
    Small Business40%
    Midsize Enterprise12%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise15%
    Large Enterprise66%
    Buyer's Guide
    Data Integration
    May 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: May 2024.
    771,170 professionals have used our research since 2012.

    StreamSets is ranked 8th in Data Integration with 24 reviews while TIBCO Scribe is ranked 49th in Data Integration with 1 review. StreamSets is rated 8.4, while TIBCO Scribe is rated 6.0. The top reviewer of StreamSets writes "We no longer need to hire highly skilled data engineers to create and monitor data pipelines". On the other hand, the top reviewer of TIBCO Scribe writes "A cloud solution that has a lot of connectors, but it should provide better documentation and scenario-based samples". StreamSets is most compared with Fivetran, Azure Data Factory, Informatica PowerCenter, SSIS and IBM InfoSphere DataStage, whereas TIBCO Scribe is most compared with Azure Data Factory, SSIS, Tray.io and Jitterbit Harmony .

    See our list of best Data Integration vendors.

    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.