In this video I speak with Philippe Noël, about ParadeDB, which is an Elasticsearch alternative built on Postgres, modernizing the features of Elasticsearch's product suite, starting with real-time search and analytics.

I hope you will enjoy and learn about the product.

Chapters:00:00 Introduction 01:12 Challenges with Elasticsearch and the Need for ParadeDB02:29 Why Postgres?06:30 Technical Details of ParadeDB's Search Functionality18:25 Analytics Capabilities of ParadeDB24:00 Understanding ParadeDB Queries and Transactions24:22 Application Logic and Data Workflows25:14 Using PG Cron for Data Migration30:05 Scaling Reads and Writes in Postgres31:53 High Availability and Distributed Systems34:31 Isolation of Workloads39:38 Database Upgrades and Migrations41:21 Using ParadeDB Extensions and Distributions43:02 Observability and Monitoring44:42 Upcoming Features and Roadmap46:34 Final Thoughts

Important links:Links:GitHub: https://github.com/paradedb/paradedbWebsite: https://paradedb.comDocs: https://docs.paradedb.com/Blog: https://blog.paradedb.com

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Database internals series: https://youtu.be/yV_Zp0Mi3xs

Popular playlists:Realtime streaming systems: https://www.youtube.com/playlist?list=PLL7QpTxsA4se-mAKKoVOs3VcaP71X_LA-

Software Engineering: https://www.youtube.com/playlist?list=PLL7QpTxsA4sf6By03bot5BhKoMgxDUU17

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Modern databases: https://www.youtube.com/playlist?list=PLL7QpTxsA4scSeZAsCUXijtnfW5ARlrsN

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