Fivetran - next generation data replication
December 22, 2021

Fivetran - next generation data replication

Uddipan Mukherjee | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Fivetran

Fivetran is used as a near real-time data replication solution between several source systems and organization-wide databases. Sources include traditional RDBMS, APIs, SAP Hana, etc. Fivetran is a reliable, and available service that did not result in any performance or data issues during its tenure with the data platform. It also supports some data transformations which are helpful to some use cases.
  • Near real time Data replication
  • Basic standardization
  • Availability of a wide variety of ingestion plugins
  • View based ingestion from RDBMS
  • Detailed Logging
  • API support
  • Near realtime, available and reliable data replication
  • High quality ingestion with no data loss
  • Cost monitoring features
  • Historical refresh cost
  • Absence of view to detailed progress logs
Fivetran is a powerful data replication tool that supported use cases for organization-wide data platforms.

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

Matillion, dbt (data build tool), from Fishtown Analytics
Fivetran is very well suited for any near real-time ingestion requirements for available plugins. Do not use it for complex data standardization as it only supports some features with that respect. Fivetran provides the required information on data volume, cost applicable, which is helpful to plan future ingestions. Sometimes historical refresh cost goes very high, but users also can be trained to save cost with appropriate measures.

Fivetran Feature Ratings

Connect to traditional data sources
10
Connecto to Big Data and NoSQL
Not Rated
Simple transformations
8
Complex transformations
Not Rated
Data model creation
9
Metadata management
9
Business rules and workflow
Not Rated
Collaboration
Not Rated
Testing and debugging
8
Integration with data quality tools
10
Integration with MDM tools
Not Rated