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Fivetran introduces Metadata API, powering end-to-end data analysis and
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CDC Database Replication
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Transformations
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Security
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Marketing analytics
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Sales + customer success analytics
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Technology
Amazon Web Services
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Azure
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Databricks
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Google Cloud
Automated data flows into Google Cloud to maximize the value of BigQuery.

Snowflake
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case studies
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THE MOST RELIABLE DATA PIPELINES YOU’LL NEVER BUILD

Effortlessly centralize all the data you need so your team can deliver better
insights, faster.

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Marketing
Finance + Ops
Database Replication
Sales & Support



EXTRACT


SECURELY CONNECT TO ALL THE DATABASES AND APPS THAT DRIVE YOUR BUSINESS

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Load


RELIABLY CENTRALIZE DATA INTO THE DESTINATION OF YOUR CHOICE

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transform


ACCELERATE ANALYTICS WITH INTEGRATED TRANSFORMATIONS

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IN DATA WE TRUST

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99.9
%


platform uptime

1,800
+


terabytes of data syncing monthly

320
+


engineers maintaining pipelines daily





THE DENVER BRONCOS SCORE A BETTER FAN EXPERIENCE WITH FIVETRAN







MEET OUR CUSTOMERS

“Fivetran completely changed our data extraction workflow. We save a tremendous
amount of time by eliminating the need to build & maintain data pipelines
internally.”

Evin Anderson, Data Engineering Manager
Data Stack



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"With Fivetran and Databricks, we can pull data from anywhere and put it
anywhere. This give us a 360-degree view of our customers that we can use to
gain valuable insights across brands."

Nana Yaw Essuman, Sr. Director of Data Engineering
Data Stack



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“Our Finance and accounting teams are working more on strategy, not tracking
down numbers. With Fivetran, our time to value and insight is much faster.”

Perry Wang, Head of Analytics Engineering
Data Stack



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“The sales team has been able to upsell contracts based on the historical data
that is now available to them. It’s a huge shift now that we’re data-driven.”

Euan Richard, Data Scientist
Data Stack



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Online Event



THE FUTURE OF THE MODERN DATA STACK



Join Fivetran’s CEO, George Fraser, along with the CEOs of Databricks and dbt
Labs as they discuss the impact on the modern data stack on the data strategies
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May 24, 2022
10-11:30AM PST

Virtual


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