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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

    SSIS

    Score6.5 out of 10
    N/AMicrosoft's SQL Server Integration Services (SSIS) is a data integration solution.N/A
    Pricing
    dbtSSIS
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    dbtSSIS
    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
    dbtSSIS
    Considered Both Products
    dbt Labs
    Chose dbt
    dbt fits much better in our stack, where we're using specialized tools to support our ELT approach.
    Incentivized
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    10 Answers
    82%
    Would buy again
    18 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    9 Answers
    95%
    Delivers good value for the price
    21 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    10 Answers
    91%
    Happy with the feature set
    20 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
    10 Answers
    Implementation went as expected
    90%
    Implementation went as expected
    9 Answers
    94%
    Implementation went as expected
    17 Answers
    Features
    dbtSSIS
    Data Transformations
    Comparison of Data Transformations features of dbt and SQL Server Integration Services
    Feature
    dbt
    9.5
    7 Ratings
    15% above category average
    SQL Server Integration Services
    8.1
    53 Ratings
    1% below category average
    Simple transformations10.07 Ratings8.553 Ratings
    Complex transformations9.07 Ratings7.752 Ratings
    Data Modeling
    Comparison of Data Modeling features of dbt and SQL Server Integration Services
    Feature
    dbt
    9.0
    7 Ratings
    12% above category average
    SQL Server Integration Services
    7.4
    51 Ratings
    8% below category average
    Data model creation9.57 Ratings8.627 Ratings
    Metadata management8.57 Ratings7.133 Ratings
    Business rules and workflow9.07 Ratings8.242 Ratings
    Collaboration10.05 Ratings7.338 Ratings
    Testing and debugging8.07 Ratings6.148 Ratings
    Data Source Connection
    Comparison of Data Source Connection features of dbt and SQL Server Integration Services
    Feature
    dbt
    -
    Ratings
    SQL Server Integration Services
    7.5
    53 Ratings
    11% below category average
    Connect to traditional data sources00 Ratings8.853 Ratings
    Connecto to Big Data and NoSQL00 Ratings6.240 Ratings
    Data Governance
    Comparison of Data Governance features of dbt and SQL Server Integration Services
    Feature
    dbt
    -
    Ratings
    SQL Server Integration Services
    6.9
    41 Ratings
    16% below category average
    Integration with data quality tools00 Ratings7.436 Ratings
    Integration with MDM tools00 Ratings6.436 Ratings
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    dbtSSIS
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    Skyvia
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    IBM InfoSphere Information Server
    Score8 out of 10
    IBM InfoSphere Information Server
    Score8 out of 10
    Enterprises
    SolarWinds Task Factory
    Score8.2 out of 10
    SolarWinds Task Factory
    Score8.2 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    dbtSSIS
    Likelihood to Recommend
    10.0
    (9 ratings)
    8.0
    (53 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    10.0
    (3 ratings)
    Usability
    9.5
    (2 ratings)
    9.3
    (8 ratings)
    Performance
    -
    (0 ratings)
    8.8
    (6 ratings)
    Support Rating
    -
    (0 ratings)
    8.2
    (7 ratings)
    Implementation Rating
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    dbtSSIS
    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
    Microsoft
    Ideal if the company is already a Microsoft shop, so chances are that it is free with SQL Server. Also, good for moving data between on premise systems. Not ideal for moving data to the cloud. No functionality out of the box to work with REST APIs. Stable product but definitely not the future
    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
    Microsoft
    • Standard ETL use cases for daily loads
    • Loading incoming data from Vendors which is placed on FTP and adding them to the SQL Warehouse
    • Creating outgoing data files and writing them to Vendor FTPs
    • Easy Active Directory integration for seamless connections to SQL Server
    • CI/CD by hosting the code on visualstudio.com
    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
    Microsoft
    • Connection managers for online data sources can be tricky to configure.
    • Performance tuning is an art form and trialing different data flow task options can be cumbersome. SSIS can do a better job of providing performance data including historical for monitoring.
    • Mapping destination using OLE DB command is difficult as destination columns are unnamed.
    • Excel or flat file connections are limited by version and type.
    Incentivized
    Read full review
    Likelihood to Renew
    dbt Labs
    No answers on this topic
    Microsoft
    Some features should be revised or improved, some tools (using it with Visual Studio) of the toolbox should be less schematic and somewhat more flexible. Using for example, the CSV data import is still very old-fashioned and if the data format changes it requires a bit of manual labor to accept the new data structure
    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
    Microsoft
    SSIS is a great tool for most ETL needs. It has the 90% (or more) use cases covered and even in many of the use cases where it is not ideal SSIS can be extended via a .NET language to do the job well in a supportable way for almost any performance workload.
    Incentivized
    Read full review
    Performance
    dbt Labs
    No answers on this topic
    Microsoft
    SQL Server Integration Services performance is dependent directly upon the resources provided to the system. In our environment, we allocated 6 nodes of 4 CPUs, 64GB each, running in parallel. Unfortunately, we had to ramp-up to such a robust environment to get the performance to where we needed it. Most of the reports are completed in a reasonable timeframe. However, in the case of slow running reports, it is often difficult if not impossible to cancel the report without killing the report instance or stopping the service.
    Incentivized
    Read full review
    Support Rating
    dbt Labs
    No answers on this topic
    Microsoft
    The support, when necessary, is excellent. But beyond that, it is very rarely necessary because the user community is so large, vibrant and knowledgable, a simple Google query or forum question can answer almost everything you want to know. You can also get prewritten script tasks with a variety of functionality that saves a lot of time.
    Incentivized
    Read full review
    Implementation Rating
    dbt Labs
    No answers on this topic
    Microsoft
    The implementation may be different in each case, it is important to properly analyze all the existing infrastructure to understand the kind of work needed, the type of software used and the compatibility between these, the features that you want to exploit, to understand what is possible and which ones require integration with third-party tools
    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
    Microsoft
    I had nothing to do with the choice or install. I assume it was made because it's easy to integrate with our SQL Server environment and free. I'm not sure of any other enterprise level solution that would solve this problem, but I would likely have approached it with traditional scripting. Comparably free, but my own familiarity with trad scripts would be my final deciding factor. Perhaps with some further training on SSIS I would have a different answer.
    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
    Microsoft
    • Data integrity across various products allows unify certain processes inside the organization and save funds by reducing human labour factor.
    • Automated data unification allows us plan our inputs better and reduce over-warehousing by overbuying
    • The employee number, responsible for data management was reduced from 4 to 1 person
    Incentivized
    Read full review
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