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readme: add performance graph
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README.md

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@@ -24,6 +24,12 @@ there are few/no changes, but is able to output each differing row! By pushing
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the compute into the databases, it's _much_ faster than querying for and
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comparing every row.
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![Performance for 100M rows](https://user-images.githubusercontent.com/97400/174860361-35158d2b-0cad-4089-be66-8bf467058387.png)
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**†:** Downloading all row implementation is not optimal. It's a single-process,
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multi-threaded implementation in Python, whose performance is driver-specific,
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e.g. Postgres' performs 10x better than MySQL.
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## Table of Contents
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- [Common use-cases](#common-use-cases)

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