CData DBAmp vs. Fivetran

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
Fivetran
Score 8.5 out of 10
N/A
Fivetran replicates applications, databases, events and files into a high-performance data warehouse, after a five minute setup. The vendor says their standardized cloud pipelines are fully managed and zero-maintenance. The vendor says Fivetran began with a realization: For modern companies using cloud-based software and storage, traditional ETL tools badly underperformed, and the complicated configurations they required often led to project failures. To streamline and accelerate…
$0.01
per credit
Pricing
CData DBAmpFivetran
Editions & Modules
Single Server License One-year Subscription
$2,495
per user
Starter
$0.01
per credit
Standard
$0.01
per credit
Enterprise
$0.01
per credit
Offerings
Pricing Offerings
CData DBAmpFivetran
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
CData DBAmpFivetran
Features
CData DBAmpFivetran
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
CData DBAmp
-
Ratings
Fivetran
10.0
Ratings
18% above category average
Connect to traditional data sources00 Ratings10.00 Ratings
Connecto to Big Data and NoSQL00 Ratings10.00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
CData DBAmp
-
Ratings
Fivetran
7.4
Ratings
10% below category average
Simple transformations00 Ratings7.50 Ratings
Complex transformations00 Ratings7.30 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
CData DBAmp
-
Ratings
Fivetran
6.2
Ratings
25% below category average
Data model creation00 Ratings2.00 Ratings
Metadata management00 Ratings4.00 Ratings
Business rules and workflow00 Ratings8.00 Ratings
Collaboration00 Ratings7.80 Ratings
Testing and debugging00 Ratings9.00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
CData DBAmp
-
Ratings
Fivetran
8.3
Ratings
2% above category average
Integration with data quality tools00 Ratings8.30 Ratings
Integration with MDM tools00 Ratings8.30 Ratings
Best Alternatives
CData DBAmpFivetran
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Score 9.9 out of 10
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Score 9.9 out of 10
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IBM InfoSphere Information Server
IBM InfoSphere Information Server
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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Score 8.0 out of 10
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User Ratings
CData DBAmpFivetran
Likelihood to Recommend
9.0
(0 ratings)
8.2
(0 ratings)
Usability
-
(0 ratings)
9.0
(0 ratings)
Performance
-
(0 ratings)
8.0
(0 ratings)
User Testimonials
CData DBAmpFivetran
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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[Fivetran is] very well suited when you are using popular and common data sources, such as the major ad platforms, and SaaS platforms such as Salesforce. If the majority of your data sources are custom internal applications or databases, may be less value as you aren't leveraging the delivered connectors.
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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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  • Simplified ETL from a wide range of data sources
  • Stable and painless data pipeline
  • Granular control over what parts of the data source are loaded
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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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  • Doesn't include support for a Kinesis stream as a data source so couldn't be used for some use cases under consideration
  • Doesn't support the use of "BEFORE DELETE" triggers
  • No support for serverless Aurora
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Usability
No answers on this topic
Very easy and intuitive to setup and maintain as there usually are not that many options. Very well documented (e.g. how to setup each connector, how the schema looks like, any specific features of this connector etc.). Also the operation is intuitive, e.g. you have status pages, log pages, configuration pages etc. for each connector.
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Performance
No answers on this topic
It runs pretty well and gets our data from point A to point cluster quickly enough. Honestly, it's not something I think about unless it breaks and that's pretty rare.
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Alternatives Considered
No answers on this topic
Fivetran came well with the connectors' availability and updates with the source changes. We had an idea on data requirements in our case which helped us to work out on cost implication and take a decision for Fivetran as a data provider for our organization. These were 2 places where Fivetran out-performed, other vendors.
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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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  • Saved a lot of manual development days (unable to quantify)
  • Accelerated the time to add a new source to the data warehouse a lot
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ScreenShots

CData DBAmp Screenshots

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