Digital Seamless data provider only when you know your data requirement in advance.
May 04, 2021

Digital Seamless data provider only when you know your data requirement in advance.

Sudarshan Kothari | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Fivetran

Fivetran has lots of digital connectors available with them required in our organization to make business decisions. Our Data management is the main consumer of the product, which then widely gets consumed in the organization's analytical format to make strategies. We are data-driven digital marketers that rely on data to make decision. The sources are expanding and handling them individually makes them very challenging and that's where Fivetran helps us solve the problem.
  • Seamless connector for data requirements
  • Custom reports
  • Database Connection
  • Change Lod
  • User-based control
  • Development cost have reduced for each connector
  • The pay-per-use model is still not out their which requires lot of overhead cost
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.

Do you think Fivetran delivers good value for the price?

Yes

Are you happy with Fivetran's feature set?

Yes

Did Fivetran live up to sales and marketing promises?

Yes

Did implementation of Fivetran go as expected?

Yes

Would you buy Fivetran again?

Yes

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.

Fivetran Feature Ratings

Connect to traditional data sources
9
Connecto to Big Data and NoSQL
8
Data model creation
7
Metadata management
9
Business rules and workflow
7
Collaboration
6
Integration with MDM tools
7