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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

    Nextqore AI Data Preprocessor

    N/A
    Small Businesses (1-50 employees)
    Nextqore is an AI Data Preprocessor designed to get enterprise data ready for AI before it reaches any model. What It Does The platform is built on two standalone products. AnySource Data Combiner ingests and unifies data from disparate enterprise systems into a single, clean feed. Data Context Builder adds semantic and relational context, ontology, and full data lineage to that combined data. Each product solves a distinct problem and can be deployed on…

    $1,200

    per month per installation

    Pricing
    dbtNextqore AI Data Preprocessor
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    dbtNextqore AI Data Preprocessor
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup fee$1,200
    Additional Details—Nextqore uses a consumption-based pricing model with three subscription tiers, priced by monthly data volume therein aligning with an enterprises consumption growth. Standard is $1,200/month for up to 10,000 unique rows processed; Professional is $2,800/month for up to 30,000 rows; Enterprise is $10,000/month for up to 100,000 rows. All three tiers include both core products (AnySource Data Combiner and Data Context Builder) plus Analytics, Visualization, Notifications, and the Enterprise AI Connector — the tiers differ only in volume limits and author/role counts, minimally by feature access. There is no minimum commitment period. Usage beyond the included volume is billed per additional 1,000 rows, at a rate that decreases by tier ($120 on Standard, $100 on Professional, $80 on Enterprise), so unit costs fall as consumption grows. Add-ons include a knowledge-graph-based Ontology/Business Schema layer ($500/month on Standard and Professional, included on Enterprise) and Machine Learning model add-ons priced per model per year ($1,300–$4,500 depending on tier). Organizations with non-standard volume, deployment, or SLA requirements can request a custom configuration directly from Nextqore.
    More Pricing Information
    Community Pulse
    dbtNextqore AI Data Preprocessor
    Considered Both Products
    dbt Labs
    No answer on this topic
    Nextqore
    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
    dbtNextqore AI Data Preprocessor
    Data Transformations
    Comparison of Data Transformations features of dbt and Nextqore AI Data Preprocessor
    Feature
    dbt
    9.8
    8 Ratings
    19% above category average
    Nextqore AI Data Preprocessor
    -
    Ratings
    Simple transformations10.08 Ratings00 Ratings
    Complex transformations9.68 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of dbt and Nextqore AI Data Preprocessor
    Feature
    dbt
    9.1
    8 Ratings
    14% above category average
    Nextqore AI Data Preprocessor
    -
    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
    dbtNextqore AI Data Preprocessor
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    Skyvia
    Score10 out of 10
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    IBM InfoSphere Information Server
    Score10 out of 10
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    Score8.3 out of 10
    Enterprises
    SolarWinds Task Factory
    Score8.3 out of 10
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    Score8.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    dbtNextqore AI Data Preprocessor
    Likelihood to Recommend
    10.0
    (10 ratings)
    -
    (0 ratings)
    Usability
    9.8
    (3 ratings)
    -
    (0 ratings)
    User Testimonials
    dbtNextqore AI Data Preprocessor
    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
    Nextqore
    No answers on this topic
    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
    Nextqore
    No answers on this topic
    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
    Nextqore
    No answers on this topic
    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
    Nextqore
    No answers on this topic
    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
    Nextqore
    No answers on this topic
    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
    Nextqore
    No answers on this topic
    ScreenShots

    Nextqore AI Data Preprocessor Screenshots

    Screenshot of Nextqore AI Deployment FrameworkScreenshot of Nextqore AI Preprocessor, Products and Deployment results