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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

    Fivetran

    Score8.3 out of 10
    N/AFivetran replicates applications, databases, events and files into a high-performance data warehouse, after a five minute setup. The vendor says their standardized cloud pipelines are fully managed and zero-maintenance. The vendor says Fivetran began with a realization: For modern companies using cloud-based software and storage, traditional ETL tools badly underperformed, and the complicated configurations they required often led to project failures. To streamline and accelerate…

    $0.01

    Pricing
    dbtFivetran
    Editions & Modules
    No answers on this topic
    Starter
    $0.01
    per credit
    Standard
    $0.01
    per credit
    Enterprise
    $0.01
    per credit
    Offerings
    Pricing Offerings
    dbtFivetran
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeOptional
    Additional Details
    More Pricing Information
    Community Pulse
    dbtFivetran
    Considered Both Products
    dbt Labs
    Chose dbt
    Matillion is graphical versus dbt, which is SQL code-based (that, of course, is a matter of personal preference and not an objective advantage). The integrated testing, documentation generation, lineage, etc., were additional criteria that led us to choose dbt.
    Incentivized
    Chose dbt
    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 …
    Incentivized
    Chose dbt
    Most ETL pipeline products have a T layer, but dbt just does it better. The transformation is on steroids compared to the others. Also, just allows much more Adhoc solutions for very specific projects. Those ETL tools are probably better on the T part if you don't need too many …
    Incentivized
    Chose dbt
    dbt is great because of its transformation capabilities
    Incentivized
    Chose dbt
    dbt fits much better in our stack, where we're using specialized tools to support our ELT approach.
    Incentivized
    Fivetran
    Chose Fivetran
    Matillion requires a lot more initial setup effort and the resulting schemas are also much more "raw" data than the nicely cleaned schemas which Fivetran provides. Therefore it would also require more (manual) post-processing efforts compared to Fivetran. So the savings on time …
    Incentivized
    Chose Fivetran
    Fivetran is much easier to set up and maintain. Airbyte still had a degree of technical knowledge requirement that we didn't have the resources to commit. Fivetran allowed a non-technical employee to establish pipelines and immediately start using the data without having to …
    Incentivized
    Chose Fivetran
    Fivetran is a powerful data replication tool that supported use cases for organization-wide data platforms.
    Incentivized
    Chose Fivetran
    Fivetran is more intuitive and easier to use than code-based ETL/ELT tools. The data modelling Fivetran performs makes the data more usable more quickly. Fivetran's dbt support and integration is unique.
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    10 Answers
    100%
    Would buy again
    8 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    9 Answers
    100%
    Delivers good value for the price
    8 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    10 Answers
    100%
    Happy with the feature set
    8 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    8 Answers
    100%
    Lived up to sales and marketing promises
    7 Answers
    Implementation went as expected
    90%
    Implementation went as expected
    9 Answers
    100%
    Implementation went as expected
    7 Answers
    Features
    dbtFivetran
    Data Transformations
    Comparison of Data Transformations features of dbt and Fivetran
    Feature
    dbt
    9.8
    8 Ratings
    19% above category average
    Fivetran
    7.5
    7 Ratings
    8% below category average
    Simple transformations10.08 Ratings7.67 Ratings
    Complex transformations9.58 Ratings7.45 Ratings
    Data Modeling
    Comparison of Data Modeling features of dbt and Fivetran
    Feature
    dbt
    9.1
    8 Ratings
    14% above category average
    Fivetran
    6.2
    8 Ratings
    25% below category average
    Data model creation9.88 Ratings2.06 Ratings
    Metadata management8.88 Ratings4.04 Ratings
    Business rules and workflow9.08 Ratings8.06 Ratings
    Collaboration10.06 Ratings7.95 Ratings
    Testing and debugging8.08 Ratings9.04 Ratings
    Data Source Connection
    Comparison of Data Source Connection features of dbt and Fivetran
    Feature
    dbt
    -
    Ratings
    Fivetran
    10.0
    8 Ratings
    18% above category average
    Connect to traditional data sources00 Ratings10.08 Ratings
    Connecto to Big Data and NoSQL00 Ratings10.06 Ratings
    Data Governance
    Comparison of Data Governance features of dbt and Fivetran
    Feature
    dbt
    -
    Ratings
    Fivetran
    8.3
    7 Ratings
    3% above category average
    Integration with data quality tools00 Ratings8.36 Ratings
    Integration with MDM tools00 Ratings8.34 Ratings
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    dbtFivetran
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    IBM InfoSphere Information Server
    Score10 out of 10
    IBM InfoSphere Information Server
    Score10 out of 10
    Enterprises
    SolarWinds Task Factory
    Score8.3 out of 10
    SolarWinds Task Factory
    Score8.3 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    dbtFivetran
    Likelihood to Recommend
    10.0
    (10 ratings)
    8.1
    (9 ratings)
    Usability
    9.8
    (3 ratings)
    9.0
    (2 ratings)
    Performance
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    dbtFivetran
    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
    Fivetran
    Fivetran's business model justifies the use-case where we require data from a single source basically a lot of data but if the requirement is not on the heavier side, Fivetran comes to costly operation when compared to its peers. Otherwise, I'll recommend Fivetran for stability and update and seamless service provider.
    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
    Fivetran
    • Easily connects to source data using delivered connectors
    • Transforms data into standard models and schemas
    • Has very good documentation to help quickly setup connectors
    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
    Fivetran
    • Very difficult to get connectors enhanced if a specific needed object is not supported by them
    • Depending on the edition needed and the data volumes, can get quite expensive
    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
    Fivetran
    Very easy and intuitive to setup and maintain as there usually are not that many options. Very well documented (e.g. how to setup each connector, how the schema looks like, any specific features of this connector etc.). Also the operation is intuitive, e.g. you have status pages, log pages, configuration pages etc. for each connector.
    Incentivized
    Read full review
    Performance
    dbt Labs
    No answers on this topic
    Fivetran
    It runs pretty well and gets our data from point A to point cluster quickly enough. Honestly, it's not something I think about unless it breaks and that's pretty rare.
    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
    Fivetran
    We never seriously considered using anything else. Our data engineers had used Fivetran extensively in previous roles so when it came time to make a decision, there wasn't much of a process. They gladly signed the contract with Fivetran pretty quickly.
    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
    Fivetran
    • It has been very positive in serving BI team with new source requests
    • It has been OK at scaling to match as data volumes as source data size grows
    Incentivized
    Read full review
    ScreenShots