dbt vs. TimeXtender

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.N/A
TimeXtender
Score 9.0 out of 10
N/A
TimeXtender was designed to be a holistic solution for data integration that empowers organizations to build data solutions 10x faster using metadata and low-code automation.N/A
Pricing
dbtTimeXtender
Editions & Modules
No answers on this topic
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Offerings
Pricing Offerings
dbtTimeXtender
Free Trial
YesNo
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsOn-Demand pricing is pay as you go, month-to-month, with no commitment, at the "on-demand" price of $3.33/credit.
More Pricing Information
Community Pulse
dbtTimeXtender
Features
dbtTimeXtender
Data Transformations
Comparison of Data Transformations features of Product A and Product B
dbt
9.5
Ratings
15% above category average
TimeXtender
-
Ratings
Simple transformations10.00 Ratings00 Ratings
Complex transformations9.00 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
dbt
9.0
Ratings
12% above category average
TimeXtender
-
Ratings
Data model creation9.50 Ratings00 Ratings
Metadata management8.50 Ratings00 Ratings
Business rules and workflow9.00 Ratings00 Ratings
Collaboration10.00 Ratings00 Ratings
Testing and debugging8.00 Ratings00 Ratings
User Ratings
dbtTimeXtender
Likelihood to Recommend
10.0
(0 ratings)
9.0
(0 ratings)
Usability
9.5
(0 ratings)
-
(0 ratings)
User Testimonials
dbtTimeXtender
Likelihood to Recommend
dbt (Data Build Tool) is best suited for doing the data transformation. dbt is just a transformation tool and it is not suitable for building a data pipeline which requires extraction of data and loading. dbt is well suited for SQL based transformation logic and it is less appropriate when transformation logic requires python.
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TimeXtender has worked really well with our customers who have different data sources using complex data types in large quantities requiring a DW-like solution that can consolidate all data sources at one-HUB. TimeXtender does this well, and provides automation capabilities, the ability to easily handle slowly changing dimensions, handing data lineage and data security very well. TimeXtender has the ability to be very customizable, allowing the HUB to grow as your business does. TimeXtender's customer support team is super helpful and will work with you throughout your implementation to make sure you reach success with the product. The ROI for timeXtender versus competing products (there aren't many that do what timeXtender does) shows the investment to be worthwhile for the majority of organizations in today's data-rich corporate world.
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Pros
  • user experience makes it easy to work with SQL and version control
  • customer success team and the dbt (data build tool) community help establish best practices
  • thorough and clear documentation
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  • It has the ability to create one dynamic 'DW' or source of truth, consolidating all data sources in one HUB.
  • Ease of use, with a great UI that is easy to learn and adapt to.
  • Ease/speed of complex implementation.
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Cons
  • Slow load times of the dbt cloud environment (they're working on it via a new UI though)
  • More out-of-the-box solutions for managing procedures, functions, etc would be nice to have, but honestly, it's pretty easy to figure out how to adapt dbt macros
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  • Product Marketing: As implementers and resellers of this technology, we loved it. But, convincing clients who had not previously heard of TX/Discovery Hub was more difficult than it could have been if the company had a larger marketing force behind it.
  • Relatively New to Market: it creates a learning curve for early implementers.
  • More information should be published on timeXtender's website about product lines, including testimonials.
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Usability
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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Alternatives Considered
Matillion is graphical versus dbt, which is SQL code-based (that, of course, is a matter of personal preference and not an objective advantage). The integrated testing, documentation generation, lineage, etc., were additional criteria that led us to choose dbt.
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For our clients, timeXtender was a much better solution. It offered a more cost-effective solution, easier integration, and better customer support for our complex client needs. The timeXtender team worked with us throughout the process to make sure we could create a success story that was repeatable for our clients, and they proved great partners.
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Return on Investment
  • In 3 months we re-wrote the data warehouse (15-20 sources) in dbt with 3 developers.
  • We are using it continually for the past year with no issues.
  • Sorry, I don't have ROI numbers but the impact was huge.
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No answers on this topic
ScreenShots