Adeptia Connect vs. dbt

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Adeptia Connect
Score 9.9 out of 10
N/A
Adeptia in Chicago offers their B2B integration solution to enables enterprises to accelerate customer data onboarding from months to a matter of minutes. Adeptia Connect provides a simple user interface (a front-end) to manage all external connections and data interfaces for a company. It provides self-service partner on boarding and no-code approach that enables business users from a company and its partners to view, setup and manage data connections with each other.N/A
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
Pricing
Adeptia Connectdbt
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Adeptia Connectdbt
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Adeptia Connectdbt
Top Pros
Top Cons
Features
Adeptia Connectdbt
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Adeptia Connect
-
Ratings
dbt
9.5
7 Ratings
16% above category average
Simple transformations00 Ratings10.07 Ratings
Complex transformations00 Ratings9.17 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Adeptia Connect
-
Ratings
dbt
9.0
7 Ratings
12% above category average
Data model creation00 Ratings9.57 Ratings
Metadata management00 Ratings8.57 Ratings
Business rules and workflow00 Ratings8.97 Ratings
Collaboration00 Ratings10.05 Ratings
Testing and debugging00 Ratings8.17 Ratings
Best Alternatives
Adeptia Connectdbt
Small Businesses

No answers on this topic

Skyvia
Skyvia
Score 9.8 out of 10
Medium-sized Companies
Boomi
Boomi
Score 8.2 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
TIBCO B2B Integration Solution
TIBCO B2B Integration Solution
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
Adeptia Connectdbt
Likelihood to Recommend
9.2
(3 ratings)
10.0
(9 ratings)
Usability
-
(0 ratings)
9.5
(2 ratings)
User Testimonials
Adeptia Connectdbt
Likelihood to Recommend
Adeptia
I recommend the program for an advanced stage, it is not a program for small companies, it is a program for medium or large companies where you know about data and its flow in which you need to make the leap to a 3.0 level of the same.I could immediately recommend it to colleagues for its great storage capacity and agile control.
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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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Pros
Adeptia
  • End users can set up pipelines within Gap to connect without having to use professional services.
  • Users can simply select a particular template.
  • Let's say that data integration calculates and configures a data flow very easily.
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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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Cons
Adeptia
  • Support only in english and not always reactive.
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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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Usability
Adeptia
No answers on this topic
dbt Labs
It requires proficiency with SQL coding and with git practices, but with these prerequisites, it is easy to use. Especially with the dbt cloud, you get a nice interface that makes all the administrative tasks like scheduling jobs quite easy. I also like the built-in SQL editor with syntax highlighting and auto-completion.
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Alternatives Considered
Adeptia
We mainly choose Adeptia Connect for the friendly UI. From the first minutes, it was really easy to use and understand how it works and then manages complex connections.
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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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Return on Investment
Adeptia
  • The user can set up the whole template and then enter the data or we simply have to connect that data by making use of connections from an account through an API.
  • We can do reference lookups in the database to further enhance it before sending it to the data link and as part of this process flow
  • We can attach by taking up a little bit of time or batch and this can be a multi-directional process. So I needed this data transformation
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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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ScreenShots