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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    dbt

    Score9.2 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

    Denodo

    Score8 out of 10
    N/ADenodo is the eponymous data integration platform from the global company headquartered in Silicon Valley.N/A
    Pricing
    dbtDenodo
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    dbtDenodo
    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
    dbtDenodo
    Considered Both Products
    dbt Labs
    No answer on this topic
    Denodo
    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
    dbtDenodo
    Data Transformations
    Comparison of Data Transformations features of dbt and Denodo
    Feature
    dbt
    9.8
    8 Ratings
    19% above category average
    Denodo
    -
    Ratings
    Simple transformations10.08 Ratings00 Ratings
    Complex transformations9.58 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of dbt and Denodo
    Feature
    dbt
    9.1
    8 Ratings
    14% above category average
    Denodo
    -
    Ratings
    Data model creation9.88 Ratings00 Ratings
    Metadata management8.88 Ratings00 Ratings
    Business rules and workflow9.08 Ratings00 Ratings
    Collaboration10.06 Ratings00 Ratings
    Testing and debugging8.08 Ratings00 Ratings
    Best Alternatives
    dbtDenodo
    Small Businesses
    Skyvia
    Score10 out of 10
    No answers on this topic
    Medium-sized Companies
    IBM InfoSphere Information Server
    Score10 out of 10
    No answers on this topic
    Enterprises
    SolarWinds Task Factory
    Score8.3 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    dbtDenodo
    Likelihood to Recommend
    10.0
    (10 ratings)
    8.8
    (6 ratings)
    Usability
    9.8
    (3 ratings)
    8.0
    (1 ratings)
    Performance
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    dbtDenodo
    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
    Read full review
    Denodo
    Denodo allows us to create and combine new views to create a
    virtual repository and APIs without a single line of code. It is excellent
    because it can present connectors with a view format for downstream consumers
    by flattening a JSON file. Reading or connecting to various sources and
    displaying a tabular view is an excellent feature. The product's technical data
    catalog is well-organized.
    Incentivized
    Read full review
    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
    Read full review
    Denodo
    • Database Agnostic: You can easily connect to different environments and mash up data sets.
    • The "magic" of data virtualization: No data is created, so data is reported in near-real-time to end users.
    • It's easy to use UI for developers. You just connect to a data source, create tables, and join them to other datasets.
    Incentivized
    Read full review
    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
    Read full review
    Denodo
    • Caching - but I am sure it will be improved by now. There were times when we expected the cache to be refreshed but it was stale.
    • Schema generation of endpoints from API response was sometimes incomplete as not all API calls returned all the fields. Will be good to have an ability to load the schema itself (XSD/JSON/Soap XML etc).
    • Denodo exposed web services were in preliminary stage when we used; I'm sure it will be improved by now.
    • Export/Import deployment, while it was helpful, there were unexpected issues without any errors during deployment. Issues were only identified during testing. Some views were not created properly and did not work. If it was working in the environment from where it was exported from, it should work in the environment where it is imported.
    Incentivized
    Read full review
    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
    Read full review
    Denodo
    Denodo is very easy to use. It has a user-friendly drag and drop interface. I'm not a fan of the java platform it resides on.
    Incentivized
    Read full review
    Performance
    dbt Labs
    No answers on this topic
    Denodo
    Denodo is a tool to rapidly mash data sources together and create meaningful datasets. It does have its downfalls though. When you create larger, more complex datasets, you will most likely need to cache your datasets, regardless of how proper your joins are set up. Since DV takes data from multiple environments, you are taxing the corporate network, so you need to be conscious of how much data you are sending through the network and truly understand how and when to join datasets due to this.
    Incentivized
    Read full review
    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
    Read full review
    Denodo
    Denodo is simple and easy to use. Highly recommended unless you have huge volumes of data
    Incentivized
    Read full review
    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
    Denodo
    • It is a huge advantage that we can connect to many different databases to provide data rapidly and accurately.
    • It has proven to be a valuable environment for deploying data virtualization solutions, and its user community is active in finding and fixing issues.
    Incentivized
    Read full review
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