Fivetran vs. Salesforce Data Cloud

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Salesforce Data Cloud
Score 8.1 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
Considered Both Products
Fivetran
Chose Fivetran
Matillion requires a lot more initial setup effort and the resulting schemas are also much more "raw" data than the nicely cleaned schemas which Fivetran provides. Therefore it would also require more (manual) post-processing efforts compared to Fivetran. So the savings on time …
Chose Fivetran
Fivetran is much easier to set up and maintain. Airbyte still had a degree of technical knowledge requirement that we didn't have the resources to commit. Fivetran allowed a non-technical employee to establish pipelines and immediately start using the data without having to …
Chose Fivetran
Fivetran is a powerful data replication tool that supported use cases for organization-wide data platforms.
Chose 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.
Chose Fivetran
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 …
Chose Fivetran
Fivetran is more intuitive and easier to use than code-based ETL/ELT tools. The data modelling Fivetran performs makes the data more usable more quickly. Fivetran's dbt support and integration is unique.
Chose Fivetran
Honestly, we haven't done much investigation in a while, it just works 360 days of the year. The other five days there may be a hiccup that will throw us a day off of data, but it gets caught up in the end.
Salesforce Data Cloud
Chose Salesforce Data Cloud
They are quite similar but it was a decision made amongst other stakeholders as well so I can’t justify the reason from my own department but as I understand salesforce allows better integration and since our CRM is already on salesforce it makes sense for us to unify at all.
Chose Salesforce Data Cloud
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 …
Chose Salesforce Data Cloud
One stop solution for all your needs, it's easy to setup and work on. High on analysis and reporting. Minimal error scope and higher quality data analytics which exponentially leads to growth in sales.
Features
FivetranSalesforce Data Cloud
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Fivetran
10.0
Ratings
18% above category average
Salesforce Data Cloud
5.5
Ratings
42% below category average
Connect to traditional data sources10.00 Ratings6.00 Ratings
Connecto to Big Data and NoSQL10.00 Ratings5.00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Fivetran
7.4
Ratings
10% below category average
Salesforce Data Cloud
6.0
Ratings
30% below category average
Simple transformations7.50 Ratings6.00 Ratings
Complex transformations7.30 Ratings6.00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Fivetran
6.2
Ratings
25% below category average
Salesforce Data Cloud
7.2
Ratings
10% below category average
Data model creation2.00 Ratings7.00 Ratings
Metadata management4.00 Ratings9.00 Ratings
Business rules and workflow8.00 Ratings6.50 Ratings
Collaboration7.80 Ratings6.50 Ratings
Testing and debugging9.00 Ratings7.00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Fivetran
8.3
Ratings
2% above category average
Salesforce Data Cloud
6.5
Ratings
22% below category average
Integration with data quality tools8.30 Ratings7.00 Ratings
Integration with MDM tools8.30 Ratings6.00 Ratings
Best Alternatives
FivetranSalesforce Data Cloud
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Score 9.9 out of 10
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Score 9.9 out of 10
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Enterprises
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Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
FivetranSalesforce Data Cloud
Likelihood to Recommend
8.2
(0 ratings)
7.1
(0 ratings)
Usability
9.0
(0 ratings)
8.0
(0 ratings)
Performance
8.0
(0 ratings)
-
(0 ratings)
User Testimonials
FivetranSalesforce Data Cloud
Likelihood to Recommend
[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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Being a mid sized organization, the costing is achievable, but can’t say for those of startups. So I believe not suitable for small scale organizations and very well suited for large data analytics companies to gain market. Also, the maintenance is slightly difficulty and support for the product is comparatively slower than other similar products.
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Pros
  • 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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  • Analysing customer trends
  • Detailing information to gain market
  • Reporting and analytics
  • Improved security
  • Providing data analytical tools and less scope of error
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Cons
  • 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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  • Very expensive
  • Does not integrate with HubSpot (another CRM). We have tried many times and it does not seem to connect
  • Sometimes the website will load very slow where other websites are much quicker
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Usability
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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it is easy to use after you get the hang of it. If you have an internal team of developers you will be able to maximise the usage a lot better. I would recommend it to people who need to organise data in a more unified way but I can’t speak to it from an infrastructure perspective as I’m not from the infrastructure team
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Performance
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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No answers on this topic
Alternatives Considered
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.
Read full review
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
  • 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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  • Salesforce Data Cloud has a positive impact on me as a realtor because it is easy to generate reports on customer data and see what is needed to be bumped to the next level. We have to earn a certain commission by the end of the year and it makes it easy to see how close you are
  • It has a positive impact on keeping track of customers because it is nice to have it all in one place which is a nice time saver
  • I like that you can even see customer info from other agents making it nice to compare and try and pass others
  • Makes the customers journey smooth sailing because everything is in one place
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ScreenShots