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.

HeFlexibility & portability to avoid vendor lock-inading

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

Get Started Now

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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