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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Colrows

    N/A
    Enterprise companies (1,001+ employees)
    Colrows builds and deploys data AI agents, analytics, reporting, migration, and pipeline root-cause-analysis agents, for enterprises operating on regulated or complex data. Delivery happens through forward-deployed engineering: a Colrows engineer builds the governed infrastructure and agents against the customer's real data, then hands the system over. Underneath is Colrows' own product, a deterministic semantic compiler that resolves natural language into…

    $16,000

    per year per installation

    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

    Pricing
    Colrowsdbt
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Colrowsdbt
    Free Trial
    NoYes
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    YesYes
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Colrowsdbt
    Considered Both Products
    ALTERBASICS TECHNOLOGIES PRIVATE LIMITED
    No answer on this topic
    dbt Labs
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    100%
    Would buy again
    10 Answers
    Delivers good value for the price
    No answers on this topic
    100%
    Delivers good value for the price
    9 Answers
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    10 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    8 Answers
    Implementation went as expected
    No answers on this topic
    90%
    Implementation went as expected
    9 Answers
    Features
    Colrowsdbt
    Data Transformations
    Comparison of Data Transformations features of Colrows and dbt
    Feature
    Colrows
    -
    Ratings
    dbt
    9.8
    8 Ratings
    19% above category average
    Simple transformations00 Ratings10.08 Ratings
    Complex transformations00 Ratings9.58 Ratings
    Data Modeling
    Comparison of Data Modeling features of Colrows and dbt
    Feature
    Colrows
    -
    Ratings
    dbt
    9.1
    8 Ratings
    14% above category average
    Data model creation00 Ratings9.88 Ratings
    Metadata management00 Ratings8.88 Ratings
    Business rules and workflow00 Ratings9.08 Ratings
    Collaboration00 Ratings10.06 Ratings
    Testing and debugging00 Ratings8.08 Ratings
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    Colrowsdbt
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    Score10 out of 10
    Medium-sized Companies
    Toad Data Point
    Score8.4 out of 10
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    Score10 out of 10
    Enterprises
    Datameer
    Score8.4 out of 10
    SolarWinds Task Factory
    Score8.3 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Colrowsdbt
    Likelihood to Recommend
    -
    (0 ratings)
    10.0
    (10 ratings)
    Usability
    -
    (0 ratings)
    9.8
    (3 ratings)
    User Testimonials
    Colrowsdbt
    Likelihood to Recommend
    ALTERBASICS TECHNOLOGIES PRIVATE LIMITED
    No answers on this topic
    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
    Pros
    ALTERBASICS TECHNOLOGIES PRIVATE LIMITED
    No answers on this topic
    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
    Cons
    ALTERBASICS TECHNOLOGIES PRIVATE LIMITED
    No answers on this topic
    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
    Usability
    ALTERBASICS TECHNOLOGIES PRIVATE LIMITED
    No answers on this topic
    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
    Alternatives Considered
    ALTERBASICS TECHNOLOGIES PRIVATE LIMITED
    No answers on this topic
    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
    Return on Investment
    ALTERBASICS TECHNOLOGIES PRIVATE LIMITED
    No answers on this topic
    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
    ScreenShots

    Colrows Screenshots

    Screenshot of The Colrows dashboard, which features an AI chat analyst for conversational analytics, letting users query connected databases in plain language, track answered questions per data source, and monitor progress through a governed, secured setup tracking dashboard.Screenshot of The AI Analyst. It turns plain-language request into an auto-generated line chart plotting 2024 monthly net revenue against month-over-month growth, with the underlying SQL, sources, and a 95 percent confidence score shown alongside the visualization.Screenshot of The AI Analyst answering a natural-language question with a governed, sortable data table ranking top customers by lifetime revenue and revenue per active day, backed by a visible SQL query, source attribution, and a 95 percent confidence score.Screenshot of The Colrows Dashboards workspace, which shows saved reports like Sales, with governed KPI cards, revenue-by-category charts, monthly trends, top products, and scatter plots, all built on shared metric definitions instead of separate, conflicting reports.Screenshot of Semantiq Studio. This visualizes the Colrows semantic graph: searchable metrics, an interactive node map showing how Net Revenue derives from Gross Revenue and Discount Amount, plus full metric detail including expression, aggregation, synonyms, and lineage.