Datameer vs. dbt

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datameer
Score 8.4 out of 10
N/A
Datameer helps businesses clean up, combine, and organize data to make sense of it and use it for reports and machine learning.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.N/A
Pricing
Datameerdbt
Editions & Modules
Team/Enterprise
Contact for pricing
per month Team
No answers on this topic
Offerings
Pricing Offerings
Datameerdbt
Free Trial
YesYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Datameerdbt
Features
Datameerdbt
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Datameer
-
Ratings
dbt
9.5
Ratings
15% above category average
Simple transformations00 Ratings10.00 Ratings
Complex transformations00 Ratings9.00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Datameer
-
Ratings
dbt
9.0
Ratings
12% above category average
Data model creation00 Ratings9.50 Ratings
Metadata management00 Ratings8.50 Ratings
Business rules and workflow00 Ratings9.00 Ratings
Collaboration00 Ratings10.00 Ratings
Testing and debugging00 Ratings8.00 Ratings
User Ratings
Datameerdbt
Likelihood to Recommend
9.0
(0 ratings)
10.0
(0 ratings)
Likelihood to Renew
6.4
(0 ratings)
-
(0 ratings)
Usability
9.0
(0 ratings)
9.5
(0 ratings)
Support Rating
8.0
(0 ratings)
-
(0 ratings)
User Testimonials
Datameerdbt
Likelihood to Recommend
Datameer's workbooks include an intuitive GUI for maximum usability. Anyone with an analytical mind may easily compile data using the built-in worksheet capability without requiring much technological knowledge. Ad hoc reports may now be made and scheduled. In addition, I haven't had too much problem fixing things because I can get most of the answers I want there.
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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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Pros
  • It leverages scalability, flexibility and cost-effectiveness of hadoop to deliver an end-user focused analytic platform for big data without involvement of IT.
  • It overcomes Hadoop`s complexity by providing GUI interface with pre-built functions across integration, analytics and data visualization .
  • Excel feature is awesome for business users which is already provided by Datameer.
  • Using datameer now user can do smart analytic using Decision Trees, Column dependency and recommendation.
  • Recently HTML5 inclusion is making application to available on a wider range of devices, including the iPad and other mobile devices which does not support Flash.
  • It can be used in premise or in a cloud computing environment.
  • Wizard-based data integration designed for IT and business users to schedule and do transformation of large sets of structured, semi-structured and unstructured data without any knowledge of Hadoop ecosystem.
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  • 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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Cons
  • Data visualization and graphics. Right now it's not very user friendly. Creating dashboards requires a lot of work that can be done by the application
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  • 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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Likelihood to Renew
Employees with intermediate SQL and Hive knowledge can generate reports faster than using Datameer . It does have visualization tool but I don't think it is anything that cannot be accomplished by importing the data in Excel
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No answers on this topic
Usability
Easy to use for most things, starts to require some planning as your projects get more complex.
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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
I have compared Datameer with the tools listed above and it blows them out of the water. Datameer is much more user friendly than these tools and is also a lot more powerful. Once the Q1 release comes out with drill down capabilities on the infographics, Datameer will surpass Tableau and Spotfire in visualization.
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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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Return on Investment
  • Quick time to value. Transition from developer to learning Datameer is less than a day.
  • Workspace is drag and drop, which makes it intuitive and easy to use.
  • Speed of data transformations.
  • Pulling data from various sources.
  • Easy to schedule data pipelines.
  • Tailor made for Snowflake and Redshift.
  • Documentation is sometimes not updated quickly.
  • Training videos are a bit long.
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  • 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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ScreenShots

Datameer Screenshots

Screenshot of DATA TRANSFORMATION: SQL or No Code

SQL SELECT statements can be used to explore and shape data. Work is represented visually on a canvas like interface, making it easier to design and maintain projects.

Datameer includes library of pre-built drag-and-drop transformations to accelerate SQL development or transform datasets without writing code.Screenshot of DATA CATALOG: Collaboration in Snowflake

Search, Metadata, Data Profiling, and Auto documentationScreenshot of AUTOMATION & INSIGHTS

Insights can be sent to email or Slack, integrated, and deployed to SnowflakeScreenshot of PRODUCTION PIPELINES: From ad-hoc exploration to production pipelines

GIT version control, materialization, dependency management, monitoring