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So i have a client that wants fast e commerce store, currently I've narrowed it down to 2 solutions.

Headless Magneto CMS with a Magneto PMSPWS studio as the front-end. Its based on react which should be fast and Magento's search uses elastic search which I've read is faster than MySQL.

The second is a simpler solution, Craft Commerce. Is a flexible and light commerce platform.

However how will a "light" PHP/MySQL platform compare to a react front-end with a "heavy" back-end using elastic search back-end.

So i have a client that wants fast e commerce store, currently I've narrowed it down to 2 solutions.

Headless Magneto CMS with a Magneto PMS studio as the front-end. Its based on react which should be fast and Magento's search uses elastic search which I've read is faster than MySQL.

The second is a simpler solution, Craft Commerce. Is a flexible and light commerce platform.

However how will a "light" PHP/MySQL platform compare to a react front-end with a "heavy" back-end using elastic search back-end.

So i have a client that wants fast e commerce store, currently I've narrowed it down to 2 solutions.

Headless Magneto CMS with a Magneto PWS studio as the front-end. Its based on react which should be fast and Magento's search uses elastic search which I've read is faster than MySQL.

The second is a simpler solution, Craft Commerce. Is a flexible and light commerce platform.

However how will a "light" PHP/MySQL platform compare to a react front-end with a "heavy" back-end using elastic search back-end.

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Help selecting an e commerce framework

So i have a client that wants fast e commerce store, currently I've narrowed it down to 2 solutions.

Headless Magneto CMS with a Magneto PMS studio as the front-end. Its based on react which should be fast and Magento's search uses elastic search which I've read is faster than MySQL.

The second is a simpler solution, Craft Commerce. Is a flexible and light commerce platform.

However how will a "light" PHP/MySQL platform compare to a react front-end with a "heavy" back-end using elastic search back-end.