“Parquet is great… until GPUs, multimodal data & million-column schemas show up.” The creator of pandas/Arrow @wesmckinney.com digs into Arrow vs Parquet, new columnar + table formats, DataFusion/DuckDB, metadata headaches, and what AI coding agents mean for open source infra. Episode link below

New episode: chatting with bauplan founders Jacopo Tagliabue and Ciro Greco on shipping AI with real-world data constraints. Why listen 1. Data pipelines determine model effectiveness, far more than most teams admit.

What if email isn’t an inbox—it’s your company’s knowledge graph? 🧠 @thatguybg.bsky.social breaks down: acquisition reality (retention/culture > price), startup energy vs. big-co burnout, Launch House, and Micro’s AI layer that turns mail into CRM/hiring/sales apps + proactive updates” link below

1/5. @paradedb.bsky.social has raised a $12M Series A to bring Elasticsearch workloads to Postgres. 🧵

1/12. I'm excited to share our latest technical blog post on ParadeDB. After a brief hiatus focused on transforming ParadeDB into an enterprise-ready database, expect to hear a lot more from us. Today's post: How ParadeDB built an LSM on top of Postgres block storage. 🧵

What happens when a query engine lead goes deep into edge storage design? Josh explains how Cloudflare’s durable objects enable global, consistent state without the pain of infra. Great listen on serverless, multiplayer, AI agents, and building apps that don’t need a backend. Link below

How does a simple tool evolve into a billion-dollar platform? Erik Swan, co-founder of Splunk, shares insights on: Starting with a focused “hammer” before scaling The “physics of business” in go-to-market strategies Navigating product-led growth and network effects Link below

Join us as we chat with Gilad Kleinman, co-founder of Epsio, about transforming database views through incremental materialization. Learn how Epsio’s approach enhances performance and integrates seamlessly with existing systems. #DataInnovation. Link below

Join us as we chat with Viktor Kessler about revolutionizing metadata management. From Data Mesh challenges to Lakehouse solutions, and the creation of Lakekeeper for Apache Iceberg, discover strategies to make data functions profitable. Link below.

New episode: “Semantic Layers: The Missing Link Between AI and Data” with @jayatillake.bsky.social . We discuss how semantic layers bridge raw data and AI, achieving 100% accuracy for natural language queries, and what’s next for LLM-powered data pipelines. 🎧 https://techontherocks.show/14 🎧

Really great conversation with a brilliant mind, highly recommended.

ParadeDB is now integrated with Postgres block storage. Today, we are releasing Part 1 of our 3-part blog series on how we designed a new storage mechanism for search and analytics in Postgres. www.paradedb.com/blog/block_s...

Really fun chatting with @philippemnoel.bsky.social about how to turn Postgres into a full search and analytics engine. The extensibility of Postgres is one of its most brilliant design choices, and ParadeDB's extensions on top of that bring impressive capabilities.

So much fun chatting with David of Arcjet about security tooling, while "security as code" matters, AI's role in tackling bots, and everything in between. David is also the creator of Console.dev the best dev tools newsletter out there. Have a listen this is a great one.