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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

    KNIME Analytics Platform

    Score7.8 out of 10
    N/AKNIME enables users to analyze, upskill, and scale data science without any coding. The platform that lets users blend, transform, model and visualize data, deploy and monitor analytical models, and share insights organization-wide with data apps and services.

    $0

    per month

    Pricing
    dbtKNIME Analytics Platform
    Editions & Modules
    No answers on this topic
    KNIME Community Hub Personal Plan
    $0
    KNIME Analytics Platform
    $0
    KNIME Community Hub Team Plan
    €99
    per month 3 users
    KNIME Business Hub
    From €35,000
    per year
    Offerings
    Pricing Offerings
    dbtKNIME Analytics Platform
    Free Trial
    YesNo
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    dbtKNIME Analytics Platform
    Considered Both Products
    dbt Labs
    No answer on this topic
    KNIME
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    10 Answers
    94%
    Would buy again
    16 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    9 Answers
    100%
    Delivers good value for the price
    16 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    10 Answers
    94%
    Happy with the feature set
    16 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    8 Answers
    83%
    Lived up to sales and marketing promises
    10 Answers
    Implementation went as expected
    90%
    Implementation went as expected
    9 Answers
    93%
    Implementation went as expected
    14 Answers
    Features
    dbtKNIME Analytics Platform
    Data Transformations
    Comparison of Data Transformations features of dbt and KNIME Analytics Platform
    Feature
    dbt
    9.5
    7 Ratings
    15% above category average
    KNIME Analytics Platform
    -
    Ratings
    Simple transformations10.07 Ratings00 Ratings
    Complex transformations9.07 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of dbt and KNIME Analytics Platform
    Feature
    dbt
    9.0
    7 Ratings
    12% above category average
    KNIME Analytics Platform
    -
    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
    Platform Connectivity
    Comparison of Platform Connectivity features of dbt and KNIME Analytics Platform
    Feature
    dbt
    -
    Ratings
    KNIME Analytics Platform
    9.2
    19 Ratings
    10% above category average
    Connect to Multiple Data Sources00 Ratings9.619 Ratings
    Extend Existing Data Sources00 Ratings10.010 Ratings
    Automatic Data Format Detection00 Ratings9.119 Ratings
    MDM Integration00 Ratings7.98 Ratings
    Data Exploration
    Comparison of Data Exploration features of dbt and KNIME Analytics Platform
    Feature
    dbt
    -
    Ratings
    KNIME Analytics Platform
    8.1
    18 Ratings
    3% below category average
    Visualization00 Ratings8.018 Ratings
    Interactive Data Analysis00 Ratings8.118 Ratings
    Data Preparation
    Comparison of Data Preparation features of dbt and KNIME Analytics Platform
    Feature
    dbt
    -
    Ratings
    KNIME Analytics Platform
    8.3
    19 Ratings
    2% above category average
    Interactive Data Cleaning and Enrichment00 Ratings9.019 Ratings
    Data Transformations00 Ratings9.519 Ratings
    Data Encryption00 Ratings7.47 Ratings
    Built-in Processors00 Ratings7.48 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of dbt and KNIME Analytics Platform
    Feature
    dbt
    -
    Ratings
    KNIME Analytics Platform
    8.0
    18 Ratings
    5% below category average
    Multiple Model Development Languages and Tools00 Ratings9.517 Ratings
    Automated Machine Learning00 Ratings8.117 Ratings
    Single platform for multiple model development00 Ratings9.318 Ratings
    Self-Service Model Delivery00 Ratings5.08 Ratings
    Model Deployment
    Comparison of Model Deployment features of dbt and KNIME Analytics Platform
    Feature
    dbt
    -
    Ratings
    KNIME Analytics Platform
    7.3
    11 Ratings
    16% below category average
    Flexible Model Publishing Options00 Ratings8.611 Ratings
    Security, Governance, and Cost Controls00 Ratings5.94 Ratings
    User Ratings
    dbtKNIME Analytics Platform
    Likelihood to Recommend
    10.0
    (9 ratings)
    9.6
    (22 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.5
    (4 ratings)
    Usability
    9.5
    (2 ratings)
    9.0
    (3 ratings)
    Support Rating
    -
    (0 ratings)
    9.3
    (6 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.0
    (2 ratings)
    Ease of integration
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    dbtKNIME Analytics Platform
    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
    KNIME
    KNIME Analytics Platform is excellent for people who are finding Excel frustrating, this can be due to errors creeping in due to manual changes or simply that there are too many calculations which causes the system to slow down and crash. This is especially true for regular reporting where a KNIME Analytics Platform workflow can pull in the most recent data, process it and provide the necessary output in one click. I find KNIME Analytics Platform especially useful when talking with audiences who are intimidated by code. KNIME Analytics Platform allows us to discuss exactly how data is processed and an analysis takes place at an abstracted level where non-technical users are happy to think and communicate which is often essential when they are subject matter experts whom you need for guidance. For experienced programmers KNIME Analytics Platform is a double-edged sword. Often programmers wish to write their own code because they are more efficient working that way and are constrained by having to think and implement work in nodes. However, those constraints forcing development in a "KNIME way" are useful when working in teams and for maintenance compared to some programmers' idiosyncratic styles.
    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
    KNIME
    • Summarize instrument level financial data with relevant statistics
    • Map transactions from core extracts to groups of like transactions using rule engines
    • Machine learning using random forests and other techniques to analyze data and identify correlations for use in predictive models
    • Fill out sampling data from averages.
    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
    KNIME
    • It does not have proper visualization.
    • Some other BI tools (QlikView) have much easier functions for data interaction.
    • Some other BI tools (Tableau) can be set up much faster.
    • It is not an easy tool to use for non-tech savvy staff.
    Incentivized
    Read full review
    Likelihood to Renew
    dbt Labs
    No answers on this topic
    KNIME
    We are happy with Knime product and their support. Knime AP is versatile product and even can execute Python scripts if needed. It also supports R execution as well; however, it is not being used at our end
    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
    KNIME
    KNIME Analytics Platform offers a great tradeoff between intuitiveness and simplicity of the user interface and almost limitless flexibility. There are tools that are even easier to adopt by someone new to analytics, but none that would provide the scalability of KNIME when the user skills and application complexity grows
    Incentivized
    Read full review
    Support Rating
    dbt Labs
    No answers on this topic
    KNIME
    KNIME's HQ is in Europe, which makes it hard for US companies to get customer service in time and on time. Their customer service also takes on average 1 to 2 weeks to follow up with your request. KNIME's documentation is also helpful but it does not provide you all the answers you need some of the time.
    Incentivized
    Read full review
    Implementation Rating
    dbt Labs
    No answers on this topic
    KNIME
    KNIME Analytics Platform is easy to install on any Windows, Mac or Linux machine. The KNIME Server product that is currently being replaced by the KNIME Business Hub comes as multiple layers of software and it took us some time to set up the system right for stability. This was made harder by KNIME staff's deeper expertise in setting up the Server in Linux rather than Windows environment. The KNIME Business Hub promises to have a simpler architecture, although currently there is no visibility of a Windows version of the product.
    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
    KNIME
    Having used both the Alteryx and [KNIME Analytics] I can definitely feel the ease of using the software of Alteryx. The [KNIME Analytics] on the other hand isn't that great but is 90% of what Alteryx can do along with how much ease it can do. Having said that, the 90% functionality and UI at no cost would be enough for me to quit using Alteryx and move towards [KNIME Analytics].
    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
    KNIME
    • It is suited for data mining or machine learning work but If we're looking for advanced stat methods such as mixed effects linear/logistics models, that needs to be run through an R node.
    • Thinking of our peers with an advanced visualization techniques requirement, it is a lagging product.
    Incentivized
    Read full review
    ScreenShots

    KNIME Analytics Platform Screenshots

    Screenshot of the KNIME Modern UI. This is the the new user interface for the KNIME Analytics Platform that is available with improved look and feel as the default interface, from KNIME Analytics Platform version 5.1.0 release.Screenshot of the KNIME Analytics Platform user interface - the KNIME Workbench - displays the current, open workflow(s). Here is the general user interface layout — application tabs, side panel, workflow editor and node monitor.Screenshot of the KNIME user interface elements — workflow toolbar, node action bar, rename components and metanodes.Screenshot of the entry page, which is displayed by clicking the Home tab. From here users can; check out example workflows to get started, access a local workspace, or even start a new workflow by clicking the yellow plus button.Screenshot of the status of a KNIME node, which shows whether it's configured, not configured, executed, or has an error.Screenshot of the KNIME node action bar, which can be used to configure, execute, cancel, reset, and - when available - open the view.