Загрузка видео...

Не удалось загрузить видео

На главную

`bunx pg-here` global one-liner to run a standalone postgres instance with all data within the current folder throw-away postgres anytime anywhere. cli args for version/user/pass/db configs. docs: stop using docker just to launch a postgres!!

mayfer's profile picture

murat 🍥

19,878 subscribers

50,537 просмотров • 3 месяцев назад •via X (Twitter)

ЮморОбразованиеНаука и технологии
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Just Use Postgres feat. Denis Magda Denis literally just published a book called “Just Use Postgres”. In this conversation, that turned out to be super fun, we talked about: • what MySQL got wrong w.r.t community • the recent explosion of Postgres development in the world (Supabase, Neon, Crunchy, ClickHouse) • when Postgres instead of Kafka • the significance of the meme “just use postgres” • Postgres for data analytics Chapters (00:00) Intro (04:26) The Just Use Postgres Movement (08:36) The Small Data Trend and Its Implications (15:49) The Shift from Distributed Systems to Simplicity (17:15) Updating your priors re: PG capabilities (20:28) MySQL's OSS community split & our experiences with such things (39:48) Postgres for Analytics (55:49) PG in the lake house (59:27) AI Marketing Slop (01:02:19) How you'd build a brand new app on Postgres (01:05:24) Speedrun through PG extensions (01:11:56) PG as a Message Queue
1:30:33

Just Use Postgres feat. Denis Magda Denis literally just published a book called “Just Use Postgres”. In this conversation, that turned out to be super fun, we talked about: • what MySQL got wrong w.r.t community • the recent explosion of Postgres development in the world (Supabase, Neon, Crunchy, ClickHouse) • when Postgres instead of Kafka • the significance of the meme “just use postgres” • Postgres for data analytics Chapters (00:00) Intro (04:26) The Just Use Postgres Movement (08:36) The Small Data Trend and Its Implications (15:49) The Shift from Distributed Systems to Simplicity (17:15) Updating your priors re: PG capabilities (20:28) MySQL's OSS community split & our experiences with such things (39:48) Postgres for Analytics (55:49) PG in the lake house (59:27) AI Marketing Slop (01:02:19) How you'd build a brand new app on Postgres (01:05:24) Speedrun through PG extensions (01:11:56) PG as a Message Queue

Stanislav Kozlovski

13,036 просмотров • 4 месяцев назад

Finish the week with a Postgres video 🌟 All about using JSON in Postgres: - when you should use it - how to use it efficiently - how JSONs actually get stored in postgres.
21:29

Finish the week with a Postgres video 🌟 All about using JSON in Postgres: - when you should use it - how to use it efficiently - how JSONs actually get stored in postgres.

Gwen (Chen) Shapira

27,568 просмотров • 1 год назад

Introducing pg_strict for Postgres. Our new extension adds a safety net to Postgres, catching dangerous queries before they run.
3:38

Introducing pg_strict for Postgres. Our new extension adds a safety net to Postgres, catching dangerous queries before they run.

PlanetScale

114,683 просмотров • 4 месяцев назад

Your Launchpad for Postgres: Get a Postgres connection URL in seconds, use your DB, claim it later. Perfect for building products like Netlify DB, OSS projects, and agents.
2:31

Your Launchpad for Postgres: Get a Postgres connection URL in seconds, use your DB, claim it later. Perfect for building products like Netlify DB, OSS projects, and agents.

Neon Postgres

21,019 просмотров • 1 год назад

Code along with me as I show you how to build a full-stack Uber Clone with #ReactNative! 🔥 We tried Expo's latest API route features to integrate a Postgres db (Neon Postgres) with payments using Stripe, and it just works. It's very easy to use and get started without any issues so far. Evan Bacon 🥓 See the tutorial here! ➡️ 🚀
2:20

Code along with me as I show you how to build a full-stack Uber Clone with #ReactNative! 🔥 We tried Expo's latest API route features to integrate a Postgres db (Neon Postgres) with payments using Stripe, and it just works. It's very easy to use and get started without any issues so far. Evan Bacon 🥓 See the tutorial here! ➡️ 🚀

Adrian | JavaScript Mastery

14,514 просмотров • 1 год назад

Let Postgres own the Iceberg catalog and delegate analytics to DuckDB. The result => transactional lakehouse updates with fast analytical queries. This isn’t a concept. It’s exactly what pg_lake delivers today. pg_lake combines a set of extensions and components that let you query and modify Iceberg tables (and other lakehouse formats) directly from Postgres. DuckDB is used to accelerate analytical queries and runs in a sidecar process called pgduck_server, which communicates with Postgres during query execution. How it works (diagram below): 1. An application sends a query to Postgres to calculate unrealized PnL (Profit and Loss) for the Disney ticker. 2. Postgres parses the query and identifies the part that computes the average price from historical lakehouse data. 3. That part is forwarded to pgduck_server for accelerated execution. 4. pgduck_server delegates execution to DuckDB, which queries the lakehouse (reusing cached data if available). 5. DuckDB computes the average price and returns it to Postgres. 6. Postgres joins the result with local portfolio data and computes the unrealized PnL. 7. The final result is returned to the application.
0:24

Let Postgres own the Iceberg catalog and delegate analytics to DuckDB. The result => transactional lakehouse updates with fast analytical queries. This isn’t a concept. It’s exactly what pg_lake delivers today. pg_lake combines a set of extensions and components that let you query and modify Iceberg tables (and other lakehouse formats) directly from Postgres. DuckDB is used to accelerate analytical queries and runs in a sidecar process called pgduck_server, which communicates with Postgres during query execution. How it works (diagram below): 1. An application sends a query to Postgres to calculate unrealized PnL (Profit and Loss) for the Disney ticker. 2. Postgres parses the query and identifies the part that computes the average price from historical lakehouse data. 3. That part is forwarded to pgduck_server for accelerated execution. 4. pgduck_server delegates execution to DuckDB, which queries the lakehouse (reusing cached data if available). 5. DuckDB computes the average price and returns it to Postgres. 6. Postgres joins the result with local portfolio data and computes the unrealized PnL. 7. The final result is returned to the application.

Denis Magda

28,461 просмотров • 4 месяцев назад

Even the most powerful artificial minds need infrastructure to understand the world. We've launched a radical project to change the way we build AI Agents. A graph layer that uses up to 34x less RAM than neo4j. To start: pgGraph (Full Open Souce, Rust), is a postgres extension that lets you run complex graph queries, like finding shortest paths using standard SQL. Directly in postgres. Coming next: Polygres, give your postgres a warp drive by combining pgGraph & pgVector into an all-in-one database. We're building the foundation of intelligence evokoa Links below ↓
0:29

Even the most powerful artificial minds need infrastructure to understand the world. We've launched a radical project to change the way we build AI Agents. A graph layer that uses up to 34x less RAM than neo4j. To start: pgGraph (Full Open Souce, Rust), is a postgres extension that lets you run complex graph queries, like finding shortest paths using standard SQL. Directly in postgres. Coming next: Polygres, give your postgres a warp drive by combining pgGraph & pgVector into an all-in-one database. We're building the foundation of intelligence evokoa Links below ↓

dale

14,138 просмотров • 8 дней назад

Replit Agent (launched today) built a startup landing page with waitlist and postgres db from start to finish in <4 mins
2:10

Replit Agent (launched today) built a startup landing page with waitlist and postgres db from start to finish in <4 mins

aman

237,148 просмотров • 1 год назад

Netlify DB (powered by Neon) just shipped. Netlify is now a one-stop shop for building with AI agents, production-ready Postgres included. Deploy in 1 second, no signup, and claim later if you need it:
1:33

Netlify DB (powered by Neon) just shipped. Netlify is now a one-stop shop for building with AI agents, production-ready Postgres included. Deploy in 1 second, no signup, and claim later if you need it:

Neon Postgres

11,933 просмотров • 1 год назад

All Create apps now ship with a built-in Postgres database (powered by Neon Postgres) • zero setup. just chat about your app • migrations and queries, added automagically • edit data like a spreadsheet in our viewer • 1 GB free storage Build full stack apps that scale big
0:23

All Create apps now ship with a built-in Postgres database (powered by Neon Postgres) • zero setup. just chat about your app • migrations and queries, added automagically • edit data like a spreadsheet in our viewer • 1 GB free storage Build full stack apps that scale big

Anything

70,018 просмотров • 1 год назад

Meet the new look of Neon Postgres. A total of ~1,200 hours of teamwork and five months from the initial kickoff to bring this design beauty to prod. Rebranding, design, dev, and motion. Ship faster with Postgres!
0:47

Meet the new look of Neon Postgres. A total of ~1,200 hours of teamwork and five months from the initial kickoff to bring this design beauty to prod. Rebranding, design, dev, and motion. Ship faster with Postgres!

Alex Barashkov

105,285 просмотров • 4 месяцев назад

Big moment for Postgres! AI agents broke the idea of what a database is supposed to do. Traditional databases were built for humans, and Agents broke that model. - They branch endlessly. - They run ten experiments at once. - They need isolation, context, memory, structured reasoning, and safe sandboxes. Letting agents touch production systems is terrifying because the old model of Postgres was never built for this kind of behavior. Agentic Postgres is an agent-ready version of Postgres by TimescaleDB (by Tiger Data) that solves this. I think it is one of the biggest upgrades to the Agent stack this year and Tiger Data is working with me on this post to share what they did. Some key features: > It instantly creates branches of an entire database, which is perfect for parallel agent evals, safe experiments, migrations, or isolated testing. Forks take seconds and cost almost nothing. > It comes with a built-in MCP server, which agents can use to get schema guidance, best practices, and safe, structured access to Postgres. This is also helpful to run migrations with a real understanding. > It comes with actual hybrid search (vector search and BM25), so Agents can retrieve data directly inside the database. > The database is Memory native. This gives a persistent context for Agents to evolve. This is one of the first times I have seen Postgres feel ready for the AI native era.
0:26

Big moment for Postgres! AI agents broke the idea of what a database is supposed to do. Traditional databases were built for humans, and Agents broke that model. - They branch endlessly. - They run ten experiments at once. - They need isolation, context, memory, structured reasoning, and safe sandboxes. Letting agents touch production systems is terrifying because the old model of Postgres was never built for this kind of behavior. Agentic Postgres is an agent-ready version of Postgres by TimescaleDB (by Tiger Data) that solves this. I think it is one of the biggest upgrades to the Agent stack this year and Tiger Data is working with me on this post to share what they did. Some key features: > It instantly creates branches of an entire database, which is perfect for parallel agent evals, safe experiments, migrations, or isolated testing. Forks take seconds and cost almost nothing. > It comes with a built-in MCP server, which agents can use to get schema guidance, best practices, and safe, structured access to Postgres. This is also helpful to run migrations with a real understanding. > It comes with actual hybrid search (vector search and BM25), so Agents can retrieve data directly inside the database. > The database is Memory native. This gives a persistent context for Agents to evolve. This is one of the first times I have seen Postgres feel ready for the AI native era.

Avi Chawla

94,290 просмотров • 6 месяцев назад

Claude Code Templates is now part of the Neon Postgres Open Source Program. One command to get a full Postgres setup for Claude Code. What you get: - 2 Skills (instant Postgres provisioning + best practices) - 5 Agents (schema design, auth, migrations, optimization, general) - 1 MCP (Neon management API) - 2 Statuslines (dev metrics + resource monitoring) 10 components with one command. Neon Database expert ready in 5 seconds
0:27

Claude Code Templates is now part of the Neon Postgres Open Source Program. One command to get a full Postgres setup for Claude Code. What you get: - 2 Skills (instant Postgres provisioning + best practices) - 5 Agents (schema design, auth, migrations, optimization, general) - 1 MCP (Neon management API) - 2 Statuslines (dev metrics + resource monitoring) 10 components with one command. Neon Database expert ready in 5 seconds

Daniel San

12,443 просмотров • 4 месяцев назад

DBngin is such a good little app for managing database local DB servers. Highly recommended if your app needs a MySQL, Postgres or Redis DB
0:39

DBngin is such a good little app for managing database local DB servers. Highly recommended if your app needs a MySQL, Postgres or Redis DB

Wes Bos

85,386 просмотров • 1 год назад

I benchmarked 96 combinations of Postgres 17 and 18. There's a few surprising results, but overall Postgres 18 has some nice improvements. Read all about it at the link below.
0:32

I benchmarked 96 combinations of Postgres 17 and 18. There's a few surprising results, but overall Postgres 18 has some nice improvements. Read all about it at the link below.

Ben Dicken

11,395 просмотров • 7 месяцев назад

Excited to introduce the in-browser Postgres sandbox with AI assistance 🚀
0:30

Excited to introduce the in-browser Postgres sandbox with AI assistance 🚀

Greg Richardson

192,310 просмотров • 1 год назад

HUGE news for developers. Supabase just launched the ChatGPT of databases. An AI-based Postgres service. You can build and launch databases, create charts, embeddings, see visuals of your DB, generate sample data, and more. And.. it's 100% open source.
1:04

HUGE news for developers. Supabase just launched the ChatGPT of databases. An AI-based Postgres service. You can build and launch databases, create charts, embeddings, see visuals of your DB, generate sample data, and more. And.. it's 100% open source.

Lior Alexander

141,118 просмотров • 1 год назад

With PGlite + Electric sync you can build an issue tracker handling 100k issues + 500k comments, synced from Postgres to PGlite in the browser! Super fast UI updates with all writes going though the local database, and Postgres FTS in PGlite for search 🔥
1:13

With PGlite + Electric sync you can build an issue tracker handling 100k issues + 500k comments, synced from Postgres to PGlite in the browser! Super fast UI updates with all writes going though the local database, and Postgres FTS in PGlite for search 🔥

Sam Willis

55,402 просмотров • 1 год назад

postgres is the best database
0:43

postgres is the best database

Sam Meech Ward

382,868 просмотров • 5 месяцев назад

I recorded a video tutorial on building an AI Code Assistant. Going through the full stack - from data models to the front end. Using Postgres, pg_vector, LangChain, OpenAI, and NextJS.
39:26

I recorded a video tutorial on building an AI Code Assistant. Going through the full stack - from data models to the front end. Using Postgres, pg_vector, LangChain, OpenAI, and NextJS.

Gwen (Chen) Shapira

30,463 просмотров • 1 год назад