CData DBAmp vs. dbt

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
CData DBAmp
Score 9.0 out of 10
N/A
DBAmp is a Salesforce integration solution for any SQL DBA. With DBAmp, users can access Salesforce data in real-time using standard SQL. For many organizations, SQL Server plays a critical role in BI and operational reporting. Using DBAmp, users can extend the same SQL Server integrations they've built for BI, analytics, and reporting to Salesforce data.
$2,495
per user
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
CData DBAmpdbt
Editions & Modules
Single Server License One-year Subscription
$2,495
per user
No answers on this topic
Offerings
Pricing Offerings
CData DBAmpdbt
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
CData DBAmpdbt
Features
CData DBAmpdbt
Data Transformations
Comparison of Data Transformations features of Product A and Product B
CData DBAmp
-
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
CData DBAmp
-
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
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CData DBAmpdbt
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IBM InfoSphere Information Server
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Score 8.0 out of 10
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Score 8.0 out of 10
Enterprises
IBM InfoSphere Information Server
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Score 8.0 out of 10
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User Ratings
CData DBAmpdbt
Likelihood to Recommend
9.0
(0 ratings)
10.0
(0 ratings)
Usability
-
(0 ratings)
9.5
(0 ratings)
User Testimonials
CData DBAmpdbt
Likelihood to Recommend
Well suited as an inexpensive tool as "middleware" between your on-prem or hosted SQL Server. Not sure how well it will translate to cloud-based SQL as a platform (Azure SQL) as it relies on linked servers. This tool only applies to Salesforce CRM - not Marketing Cloud. For writing back to Salesforce we did run into Salesforce resource limitations when extensive triggers existed on the objects.
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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
  • Connects & Links to Salesforce CRM databases - including custom objects.
  • Built in procedures to create copies of the database on SQL Server.
  • Built in procedures to Add, Update, and Delete data within Salesforce CRM.
  • Great Technical Support.
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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
  • Because it uses Linked Servers, not sure how this will work in Azure SQL.
  • Replicated tables are based on user security - this means you have to pay for a license to set this up.
  • There is no built-in function to skip tables or fields on secured tables. This has to be done on the CRM side for fields and we built a function to skip tables in the replication logic.
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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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Usability
No answers on this topic
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
No answers on this topic
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
  • Enabled automated marketing segments which enabled automated email series.
  • Helped us solicit donations for the right amount at the right time.
  • Helped us take on new marketing and fundraising campaigns without adding staff.
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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

CData DBAmp Screenshots

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