dbt vs. erwin Data Modeler

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
dbt
Score 9.0 out of 10
N/A
dbt 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
erwin Data Modeler
Score 10.0 out of 10
N/A
erwin Data Modeler by Quest is a data modeling tool used to find, visualize, design, deploy and standardize high-quality enterprise data assets. It can discover and document any data from anywhere for consistency, clarity and artifact reuse across large-scale data integration, master data management, metadata management, Big Data, business intelligence and analytics initiatives, accomplishing this whil esupporting data governance and intelligence efforts.N/A
Pricing
dbterwin Data Modeler
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
dbterwin Data Modeler
Free Trial
YesYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesYes
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
dbterwin Data Modeler
Features
dbterwin Data Modeler
Data Transformations
Comparison of Data Transformations features of Product A and Product B
dbt
9.7
8 Ratings
19% above category average
erwin Data Modeler
-
Ratings
Simple transformations10.08 Ratings00 Ratings
Complex transformations9.48 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
dbt
9.1
8 Ratings
15% above category average
erwin Data Modeler
-
Ratings
Data model creation9.78 Ratings00 Ratings
Metadata management8.78 Ratings00 Ratings
Business rules and workflow9.08 Ratings00 Ratings
Collaboration10.06 Ratings00 Ratings
Testing and debugging8.08 Ratings00 Ratings
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User Ratings
dbterwin Data Modeler
Likelihood to Recommend
10.0
(10 ratings)
6.1
(7 ratings)
Usability
9.7
(3 ratings)
9.0
(2 ratings)
Support Rating
-
(0 ratings)
9.0
(3 ratings)
User Testimonials
dbterwin Data Modeler
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.
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Quest Software
I have had a chance to use few other data modeling tools from Quest and Oracle, but I am most comfortable using erwin Data Modeler. They understand your data modeling needs and have designed the software to give you a feeling of completeness when you are designing a data model.
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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.
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Quest Software
  • Reverse Engineering: I love the way we can import an SQL file containing schema meta data and generate ER diagram out of it. This is specifically useful if you are implementing erwin Data Modeler for an existing database.
  • Forward Engineering: We use this feature very frequently. Where we do database changes in our physical and logical data models and then generate deployment scripts for the changes made.
  • Physical vs Logical Models: I like to have my database model split into physical and logical models and at the same time still linked to each other. Any changes you make to logical model or physical model shows up in the other.
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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)
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Quest Software
  • Cost is the single largest barrier to entry with this tool.
  • Would like to see a greater variety of export options available for use outside of the tool, for example as a vector graphic.
  • Support has been uneven at times.
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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.
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Quest Software
I had a lot of experience using erwin Data Modeler for designing data models. I think it's pretty intuitive and easy to use. It has enough features to represent your database requirements in form of a model.
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Support Rating
dbt Labs
No answers on this topic
Quest Software
CA customer support and our account manager have been able to support us with any issues that we have had, from managing our serial keys to issues we logged tickets to resolve. There are aspects of key management that have made it difficult over the years but support usually has worked with us.
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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.
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Quest Software
Not listed, but I've only used alternatives built into something like the Squirrel SQL editor. That one is semi-functional but lacking many features and, in some instances, just plain wrong. The only pro there is that it's freely available and works over ODBC. I've tried some of the other free ones like Creately but didn't have much success.
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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
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Quest Software
  • It is difficult to assign a monetary value to it. The initial learning curve was fairly long.
  • It allows us to have better support documentation.
  • It allows ease of communications between functional units.
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ScreenShots

erwin Data Modeler Screenshots

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