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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    dbt

    Score9 out of 10
    N/Adbt is an SQL development environment, developed by Fishtown Analytics, now known as dbt Labs. The vendor states that with dbt, analysts take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation. dbt Core is distributed under the Apache 2.0 license, and paid Teams and Enterprise editions are available.

    $0

    per month per seat

    IBM StreamSets

    Score8.2 out of 10
    N/AIBM® StreamSets enables users to create and manage smart streaming data pipelines through a graphical interface, facilitating data integration across hybrid and multicloud environments. IBM StreamSets can support millions of data pipelines for analytics, applications and hybrid integration.N/A
    Pricing
    dbtIBM StreamSets
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    dbtIBM StreamSets
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    dbtIBM StreamSets
    Considered Both Products
    dbt Labs
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    10 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    9 Answers
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    10 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    8 Answers
    No answers on this topic
    Implementation went as expected
    90%
    Implementation went as expected
    9 Answers
    No answers on this topic
    Features
    dbtIBM StreamSets
    Data Transformations
    Comparison of Data Transformations features of dbt and IBM StreamSets
    Feature
    dbt
    9.5
    7 Ratings
    15% above category average
    IBM StreamSets
    -
    Ratings
    Simple transformations10.07 Ratings00 Ratings
    Complex transformations9.07 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of dbt and IBM StreamSets
    Feature
    dbt
    9.0
    7 Ratings
    12% above category average
    IBM StreamSets
    -
    Ratings
    Data model creation9.57 Ratings00 Ratings
    Metadata management8.57 Ratings00 Ratings
    Business rules and workflow9.07 Ratings00 Ratings
    Collaboration10.05 Ratings00 Ratings
    Testing and debugging8.07 Ratings00 Ratings
    Best Alternatives
    dbtIBM StreamSets
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    Skyvia
    Score9.9 out of 10
    No answers on this topic
    Medium-sized Companies
    IBM InfoSphere Information Server
    Score8 out of 10
    No answers on this topic
    Enterprises
    SolarWinds Task Factory
    Score8.2 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    dbtIBM StreamSets
    Likelihood to Recommend
    10.0
    (9 ratings)
    9.0
    (1 ratings)
    Usability
    9.5
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    dbtIBM StreamSets
    Likelihood to Recommend
    dbt Labs
    The prerequisite is that you have a supported database/data warehouse and have already found a way to ingest your raw data. Then dbt is very well suited to manage your transformation logic if the people using it are familiar with SQL. If you want to benefit from bringing engineering practices to data, dbt is a great fit. It can bring CI/CD practices, version control, automated testing, documentation generation, etc. It is not so well suited if the people managing the transformation logic do not like to code (in SQL) but prefer graphical user interfaces.
    Incentivized
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    IBM
    When you are dealing with a data warehouse and want to find an easy way to integrate applications and expose data in real-time, then IBM StreamSets is the best tool to go for. I'm using it for the same purpose in my applications. This tool will be well-suited for someone with a proper technical background. Though IBM StreamSets UI is mostly drag and drop, advanced configurations require technical expertise or support to do the initial setup.
    Incentivized
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    Pros
    dbt Labs
    • dbt supports version control through GIT, this allows teams to collaborate and track the data transformation logic.
    • dbt allows us to build data models which helps to break complex transformation logic into simple and smaller logic.
    • dbt is completely based on SQL which allows data analyst and data engineers to build the transformation logic.
    • dbt can be easily integrated with snowflake.
    Incentivized
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    IBM
    • It makes building data pipelines quite super intuitive even for non coders.
    • Ir also handles real time data ingestion effortlessly so I always have up to date information for my reports.
    • It's great at monitoring data quality as well.
    Incentivized
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    Cons
    dbt Labs
    • Field-level lineage (currently at table level)
    • Documentation inheritance - if a field is documented the downstream field of the same name could inherit the doc info
    • Adding python model support (in beta now)
    Incentivized
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    IBM
    • Where the person's skillsets in data analysis is not of an expert.
    • Data monitoring and analysis.
    • Customer data for better customer acquisition
    Incentivized
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    Likelihood to Renew
    dbt Labs
    No answers on this topic
    IBM
    IBM Stream sets has been a wonderful addition to our technology stack. It has helped in some of our initiatives such as data engineering, data integration for not only external customers but also for internal purposes. The tool has also helped on our use cases related to streaming data. Moving to another tool would require significant amount of work and time.
    Incentivized
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    Usability
    dbt Labs
    dbt is very easy to use. Basically if you can write SQL, you will be able to use dbt to get what you need done. Of course more advanced users with more technical skills can do more things.
    Incentivized
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    IBM
    The StreamSets platform is very easy to use and the interface is extremely intuitive. The drag-and-drop, low-code design makes it accessible for teams with varying technical skills, allowing us to quickly connect sources, define transformations, and deploy pipelines without heavy coding. StreamSets allows us to get started quickly and not have to worry about our pipelines breaking once they're built.
    Incentivized
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    Support Rating
    dbt Labs
    No answers on this topic
    IBM
    Streamsets support has improved a lot in the last couple of years. We had some challenges in the beginning with support, but now the quality of the support and the responsiveness to tickets are better. We have contacted support multiple times when it came to scenarios where the system was slow or the output as not as we expected
    Incentivized
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    Implementation Rating
    dbt Labs
    No answers on this topic
    IBM
    I was not involved in the implementation
    Incentivized
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    Alternatives Considered
    dbt Labs
    I actually don't know what the alternative to dbt is. I'm sure one must exist other than more 'roll your own' options like Apache Airflow, say, bu tin terms of super easy managed/cloud data transforms, dbt really does seem to be THE tool to use. It's $50/month per dev, BUT there's a FREE version for 1 dev seat with no read-only access for anyone else, so you can always start with that and then buy yourself a seat later.
    Incentivized
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    IBM
    the IBM solution can be considered a good player in the specific perimeter of application because its main functionalities are working well, are easy to use, and complete. it allows also a good degree of freedom when it comes to personalization of pipelines and streams, and customization of data ingestion methodologies.
    Incentivized
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    Return on Investment
    dbt Labs
    • Simplified our BI layer for faster load times
    • Increased the quality of data reaching our end users
    • Makes complex transformations manageable
    Incentivized
    Read full review
    IBM
    • it reduced the time I spent managing and updating pipelines when data formats changed
    • it saved us from building everything from scratch by making data movement between systems easier
    • it helps scale workflows as data volume grows, without much extra effort
    Incentivized
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