The premium product in the market for a reason
May 07, 2024

The premium product in the market for a reason

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

Overall Satisfaction with Fivetran

Streamlined, fully managed ETL tool to bring data from our SaaS applications into a centralized Snowflake warehouse. It enables us to run analytics across the business.
  • Fully managed ETL pipelines
  • Minimal implementation and pipeline configuration in minutes
  • Responsive and helpful customer support
  • Broad coverage of connectors and ability to quickly build a new connector
  • Better UI in the product for performance
  • Don't make us use the logs to understand performance
  • Pricing can get very expensive
  • Business and product data now co-located in the warehouse
  • Dashboards can be built using data from all corners of the business
  • Better visibility into customer health, product usage, business financials, and more
  • Enabled high-traffic operational dashboards that increase efficiency of our sales and ops teams
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 find a technical resource to build the pipelines.

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 is perfect for companies that want to quickly establish an ETL process to get more data for analytics. Particularly if you don't have in-house technical data engineering expertise. Fivetran abstracts away the complexity of writing code for ETL pipelines and the maintenance burden of keeping those pipelines running well.

Fivetran Feature Ratings

Connect to traditional data sources
10
Connecto to Big Data and NoSQL
10
Simple transformations
5
Complex transformations
4
Data model creation
2
Metadata management
4
Business rules and workflow
8
Collaboration
7
Testing and debugging
9
Integration with data quality tools
10
Integration with MDM tools
10