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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

    Informatica PowerCenter (legacy)

    Score9.3 out of 10
    N/AInformatica PowerCenter was data integration technology designed to form the foundation for data integration initiatives, application migration, or analytics. It is a legacy product.N/A
    Pricing
    dbtInformatica PowerCenter (legacy)
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    dbtInformatica PowerCenter (legacy)
    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
    dbtInformatica PowerCenter (legacy)
    Considered Both Products
    dbt Labs
    No answer on this topic
    Discontinued Products
    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
    dbtInformatica PowerCenter (legacy)
    Data Transformations
    Comparison of Data Transformations features of dbt and Informatica PowerCenter (legacy)
    Feature
    dbt
    9.8
    8 Ratings
    19% above category average
    Informatica PowerCenter (legacy)
    7.5
    18 Ratings
    8% below category average
    Simple transformations10.08 Ratings8.018 Ratings
    Complex transformations9.58 Ratings7.018 Ratings
    Data Modeling
    Comparison of Data Modeling features of dbt and Informatica PowerCenter (legacy)
    Feature
    dbt
    9.1
    8 Ratings
    14% above category average
    Informatica PowerCenter (legacy)
    8.2
    18 Ratings
    3% above category average
    Data model creation9.88 Ratings9.015 Ratings
    Metadata management8.88 Ratings8.016 Ratings
    Business rules and workflow9.08 Ratings9.018 Ratings
    Collaboration10.06 Ratings6.116 Ratings
    Testing and debugging8.08 Ratings9.017 Ratings
    Data Source Connection
    Comparison of Data Source Connection features of dbt and Informatica PowerCenter (legacy)
    Feature
    dbt
    -
    Ratings
    Informatica PowerCenter (legacy)
    8.5
    18 Ratings
    1% above category average
    Connect to traditional data sources00 Ratings9.018 Ratings
    Connecto to Big Data and NoSQL00 Ratings8.014 Ratings
    Data Governance
    Comparison of Data Governance features of dbt and Informatica PowerCenter (legacy)
    Feature
    dbt
    -
    Ratings
    Informatica PowerCenter (legacy)
    9.0
    15 Ratings
    11% above category average
    Integration with data quality tools00 Ratings9.015 Ratings
    Integration with MDM tools00 Ratings9.013 Ratings
    Best Alternatives
    dbtInformatica PowerCenter (legacy)
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    Skyvia
    Score10 out of 10
    Skyvia
    Score10 out of 10
    Medium-sized Companies
    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
    dbtInformatica PowerCenter (legacy)
    Likelihood to Recommend
    10.0
    (10 ratings)
    8.0
    (21 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    10.0
    (4 ratings)
    Usability
    9.8
    (3 ratings)
    9.0
    (3 ratings)
    Performance
    -
    (0 ratings)
    9.4
    (2 ratings)
    Support Rating
    -
    (0 ratings)
    9.0
    (2 ratings)
    User Testimonials
    dbtInformatica PowerCenter (legacy)
    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
    Discontinued Products
    1.- Scenaries with poor sources of data is not recomended (Very bad ROI). The solution is for medium-big enterprises with a lot of sources of data and users. 2.- Bank and finance enviroment to integrate differente data form trading, Regulatory reports, decisions makers, fraud and financial crimes because in this kind of scenary the quality of data is the base of the business. 3.- Departments of development and test of applications in enterprises because you can design enviroments, out of the production systems, to development and test the new API's or updateds made.
    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
    Discontinued Products
    • Informatica Powercenter is an innovative software that works with ETL-type data integration. Connectivity to almost all the database systems.
    • Great documentation and customer support.
    • It has a various solution to address data quality issues. data masking, data virtualization. It has various supporting tools or MDM, IDQ, Analyst, BigData which can be used to analyze data and correct it.
    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
    Discontinued Products
    • There are too many ways to perform the same or similar functions which in turn makes it challenging to trace what a workflow is doing and at which point (ex. sessions can be designed as static or re-usable and the override can occur at the session or workflow, or both which can be counter productive and confusing when troubleshooting).
    • The power in structured design is a double edged sword. Simple tasks for a POC can become cumbersome. Ex. if you want to move some data to test a process, you first have to create your sources by importing them which means an ODBC connection or similar will need to be configured, you in turn have to develop your targets and all of the essential building blocks before being able to begin actual development. While I am on sources and targets, I think of a table definition as just that and find it counter intuitive to have to design a table as both a source and target and manage them as different objects. It would be more intuitive to have a table definition and its source/target properties defined by where you drag and drop it in the mapping.
    • There are no checkpoints or data viewer type functions without designing an entire mapping and workflow. If you would like to simply run a job up to a point and check the throughput, an entire mapping needs to be completed and you would workaround this by creating a flat file target.
    Incentivized
    Read full review
    Likelihood to Renew
    dbt Labs
    No answers on this topic
    Discontinued Products
    Our team enjoys using Informatica and feels that it is one of the best ETL tools on the market.
    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
    Discontinued Products
    Positives; - Multi User Development Environment - Speed of transformation - Seamless integration between other Informatica products. Negatives; - There should be less windows to maintain developers' focus while using. You probably need 2 big monitors when you start development with Informatica Power Center. - Oracle Analytical functions should be natively used. - E-LT support as well as ETL support.
    Incentivized
    Read full review
    Performance
    dbt Labs
    No answers on this topic
    Discontinued Products
    PowerCenter is robust and fast, and it does a great job meeting all the needs, not just the most commercially vocal needs. In the hands of an expert power user, you can accomplish almost anything with your data. It is not for new users or intermittent users-- for that the Cloud version is a better fit. Be prepared for costly connectors (priced differently for each source or destination you are working with), and just be planful of your projects so you are not paying for connectors you no longer need or want
    Incentivized
    Read full review
    Support Rating
    dbt Labs
    No answers on this topic
    Discontinued Products
    Informatica power center is a leader of the pack of ETL tools and has some great abilities that make it stand out from other ETL tools. It has been a great partner to its clients over a long time so it's definitely dependable. With all the great things about Informatica, it has a bit of tech burden that should be addressed to make it more nimble, reduce the learning curve for new developers, provide better connectivity with visualization 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
    Discontinued Products
    While Talend offers a much more comfortable interface to work with, Informatica's forte is performance. And on that front, Informatica Enterprise Data Integration certainly leaves Talend in the dust. For a more back-end-centric use case, Informatica is certainly the ETL tool of choice. On the other hand, if business users would be using the tool, then Talend would be the preferred tool.
    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
    Discontinued Products
    • The data pipeline automation capability of Informatica means that few resources are needed to pre-process the data that ultimately resides in a Data Warehouse. Once a workflow is implemented, manual intervention is not needed.
    • PowerCenter did require more resources and time for installation and configuration than was expected/planned for.
    • The lack of or minimal support of unstructured data means that newer sources of dynamic/changing data cannot be easily processed/transformed through PowerCenter workflows.
    Incentivized
    Read full review
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