MODERN ELT VS. LEGACY ETL

Fivetran vs. Informatica:
Why enterprises are choosing a modern solution for data movement

Features
Informatica
Pre-built and custom connectors
Cloud-native data movement
Simple to setup and use
Efficient log-free and log-based CDC
Fully managed schemas
SQL-based transformations
Transparent Pricing
THE ENTERPRISE STANDARD FOR DATA MOVEMENT

“With Fivetran, I replicated all of our data in 10 business days – every table and every field.”

Nick Heigerick, IT Manager of BI
Cloud migration
Data democratization
Customer story

Oldcastle Infrastructure sees multiple millions of dollars in ROI with a modern data stack

Read Oldcastle Infrastructure’s Story
THE BUSINESS VALUE OF FIVETRAN

A new IDC report validates and demonstrates the customer value and ROI of Fivetran.

$
1.5m

Average annual benefit per organization

$
177k

Annual operational cost savings

48
%

More productive data engineers

A modern approach to data movement

Greater connector variety and robustness
Fivetran offers 400+ simple to set up, fully-managed connectors with pre-built ERDs. Plus, by request we’ll build Fivetran Lite connectors for any SaaS application.  Fivetran is ready for any source, any destination and any flavor of CDC.
Flexibility & portability to avoid vendor lock-in
Fivetran is compatible with every major tool in the modern data stack. You aren’t forced to do or design anything in one way. We don’t lock users into other Fivetran-backed or -created solutions. 
Built for the cloud, built for enterprise, built for scale
Don’t settle for a legacy ETL solution that requires multiple products and a Ph.D in their GUI. Fivetran is a fully-managed, ELT platform with a simple architecture that’s built for today’s workloads and tomorrow’s scaling needs.

400+ fully-managed connectors

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Additional resources

Blog

5 critical features of modern data movement

Read more
Blog

ETL vs. ELT: Why a post-load process wins every time

Read more
Blog

How the Fivetran approach to data normalization cuts compute costs

Read more