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 ParadeDB
02:29 Why Postgres?
06:30 Technical Details of ParadeDB's Search Functionality
18:25 Analytics Capabilities of ParadeDB
24:00 Understanding ParadeDB Queries and Transactions
24:22 Application Logic and Data Workflows
25:14 Using PG Cron for Data Migration
30:05 Scaling Reads and Writes in Postgres
31:53 High Availability and Distributed Systems
34:31 Isolation of Workloads
39:38 Database Upgrades and Migrations
41:21 Using ParadeDB Extensions and Distributions
43:02 Observability and Monitoring
44:42 Upcoming Features and Roadmap
46:34 Final Thoughts

Important links:
Links:
GitHub: https://github.com/paradedb/paradedb
Website: https://paradedb.com
Docs: https://docs.paradedb.com/
Blog: https://blog.paradedb.com

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