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Checkout Rudderstack, an open source project to collect data from various sources (databases, apps, etc.) and prepare for business analytics. Let me know if you have any questions
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Shameless plug. But I genuinely believe polars is the best tool for the job if performance, schema validity and RAM usage is important to you. Dependent on your machine Its performance is 2x-70x times pandas. It uses arrow memory and thus has proper null handling, has query optimization, a lot of parallelization, insanely fast csv-parser and utilizes much less RAM then pandas.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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For SQL reading I'd really recommend connector-x, they do a great job preventing unneeded serialization and don't have to go through python.
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