Fivetran vs. Salesforce Data Cloud

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Fivetran
Score 8.4 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
Salesforce Data Cloud
Score 8.4 out of 10
N/A
Salesforce Data Cloud (formerly Salesforce Genie) is a solution to put data to work for customers. It is deeply embedded in the Einstein 1 Platform, which means any external data lake or warehouse can now drive actions and workflows inside of the Salesforce CRM.
$108,000
per year per org
Pricing
FivetranSalesforce Data Cloud
Editions & Modules
Starter
$0.01
per credit
Standard
$0.01
per credit
Enterprise
$0.01
per credit
Data Cloud for Marketing
$108000
per year per org
Offerings
Pricing Offerings
FivetranSalesforce Data Cloud
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
FivetranSalesforce Data Cloud
Features
FivetranSalesforce Data Cloud
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Fivetran
10.0
8 Ratings
20% above category average
Salesforce Data Cloud
5.5
2 Ratings
40% below category average
Connect to traditional data sources10.08 Ratings6.02 Ratings
Connecto to Big Data and NoSQL10.06 Ratings5.01 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Fivetran
6.9
7 Ratings
16% below category average
Salesforce Data Cloud
6.0
2 Ratings
30% below category average
Simple transformations7.17 Ratings6.02 Ratings
Complex transformations6.75 Ratings6.02 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Fivetran
6.1
8 Ratings
25% below category average
Salesforce Data Cloud
7.2
2 Ratings
8% below category average
Data model creation2.06 Ratings7.02 Ratings
Metadata management4.04 Ratings9.01 Ratings
Business rules and workflow8.06 Ratings6.52 Ratings
Collaboration7.75 Ratings6.52 Ratings
Testing and debugging9.04 Ratings7.02 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Fivetran
8.6
7 Ratings
8% above category average
Salesforce Data Cloud
6.5
2 Ratings
20% below category average
Integration with data quality tools8.66 Ratings7.02 Ratings
Integration with MDM tools8.64 Ratings6.02 Ratings
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FivetranSalesforce Data Cloud
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Enterprises
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User Ratings
FivetranSalesforce Data Cloud
Likelihood to Recommend
8.3
(9 ratings)
8.3
(4 ratings)
Likelihood to Renew
-
(0 ratings)
6.0
(1 ratings)
Usability
9.0
(2 ratings)
8.0
(4 ratings)
Performance
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
FivetranSalesforce Data Cloud
Likelihood to Recommend
Fivetran
Fivetran's business model justifies the use-case where we require data from a single source basically a lot of data but if the requirement is not on the heavier side, Fivetran comes to costly operation when compared to its peers. Otherwise, I'll recommend Fivetran for stability and update and seamless service provider.
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Salesforce
I would recommend Salesforce Data Cloud as an 8 because it is great for keeping track of customer and sale information, it is easy to use, it is easy to generate reports and it is user friendly. However, it is very expensive and does not integrate with other CRMs well
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Pros
Fivetran
  • Easily connects to source data using delivered connectors
  • Transforms data into standard models and schemas
  • Has very good documentation to help quickly setup connectors
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Salesforce
  • Integration with other systems is really working for us. Also having models developed in Data Cloud and then use for servers, Salesforce sales and for Marketing Cloud.
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Cons
Fivetran
  • Very difficult to get connectors enhanced if a specific needed object is not supported by them
  • Depending on the edition needed and the data volumes, can get quite expensive
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Salesforce
  • Sometimes it can be very fidgety and you need a team of salesforce developers in order to implement the solution
  • Can be expensive, but so are other providers
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Usability
Fivetran
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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Salesforce
Because it is worth this, the analytics, reporting, CRM, security parameters, mobile support all make it this worth. Also, I personally believe it has high potential to grab customers attention and increase sales.
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Performance
Fivetran
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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Salesforce
No answers on this topic
Alternatives Considered
Fivetran
We never seriously considered using anything else. Our data engineers had used Fivetran extensively in previous roles so when it came time to make a decision, there wasn't much of a process. They gladly signed the contract with Fivetran pretty quickly.
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Salesforce
I like Salesforce Data Cloud because like mentioned before, it is easy to use, easy to generate reports, create workflows, keep track of customer data, sales data, house data, etc. You can also import excel sheets with customer data as well and it will create the fields for you which is nice
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Return on Investment
Fivetran
  • It has been very positive in serving BI team with new source requests
  • It has been OK at scaling to match as data volumes as source data size grows
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Salesforce
  • It's been really good because for example, now we can use some of the segmentation of our clients. We have all the models running in that cloud, so it's been easier for us having this information built and having the calculation of the segments that we want to use with clients.
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ScreenShots