dbt vs. Vertify

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
Vertify
Score 9.0 out of 10
Mid-Size Companies (51-1,000 employees)
VertifyData is a cloud-based integration platform with core integration capacities, including a drag-and-drop interface and real-time synchronization. It also offers over 80 prebuilt connectors and templates, plus customizable integrations for scaling businesses.
$7,350
per year
Pricing
dbtVertify
Editions & Modules
No answers on this topic
RevOps as a Service
4,800
per year
Starter
$7,350
per year
Growth
$11,100
per year
Premium
15,000
per year
Offerings
Pricing Offerings
dbtVertify
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
YesYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
dbtVertify
Features
dbtVertify
Data Transformations
Comparison of Data Transformations features of Product A and Product B
dbt
9.7
8 Ratings
18% above category average
Vertify
-
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
Vertify
-
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
Best Alternatives
dbtVertify
Small Businesses
Skyvia
Skyvia
Score 10.0 out of 10
Skyvia
Skyvia
Score 10.0 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
dbtVertify
Likelihood to Recommend
10.0
(10 ratings)
7.7
(4 ratings)
Usability
9.7
(3 ratings)
7.3
(2 ratings)
Performance
-
(0 ratings)
6.8
(2 ratings)
User Testimonials
dbtVertify
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.
Read full review
Vertify, Inc.
I would recommend it, as VertifyData exactly fit our use case. I can't speak for all use cases and all connectors - naturally - but the ones we are using and have explored so far, work perfectly well. Also, being a person myself that is not fluent in SQL or JSON or API language in general, I was still able to create all workflows our company needed myself. Which I consider a huge benefit.
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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.
Read full review
Vertify, Inc.
  • Communication.
  • Follow up.
  • They're constantly trying to improve.
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)
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Vertify, Inc.
  • Automated error trouble-shooting is not always clear/helpful
  • Clearly distinguishing internal errors vs. external errors
  • Perhaps a blog where users can interact with questions + solutions
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.
Read full review
Vertify, Inc.
Creating a mapping between source and target while also using lookups and transformations is not trivial. And VertifyData solved this reasonably well, at least all users in my organization understood it pretty quickly.
Read full review
Performance
dbt Labs
No answers on this topic
Vertify, Inc.
It is not the easiest user interface to read/understand. However, once you understand how it works, then using it is not that bad. It's hard to remember what feature is listed under what tab (Manage vs. Define). A suggestion would be to get all call to actions on the same page
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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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Vertify, Inc.
Vertify offered more flexibility and was presented as a simple solution. In reality, it is more complex that we envisioned and we have never fully utilized our tools due to the lack of ability to configure things properly.
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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
Read full review
Vertify, Inc.
  • Independently, teams are able to carry out their process with less communication and at a higher level of accuracy.
  • VertifyData is actively taking into consideration, consulting, and supporting our plans to build out the business
Read full review
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