🧊 How fast are cold starts on @neondatabase?
🔗 How fast are connections/queries?
⏲️ Do timings vary based DB?
Here's a benchmark I built: https://t.co/rZmLCjUKzW
The Materialize VS Code extension is live! This adds Materialize:
🗃️ Schema Introspection
🔮 Query Execution
🤓 SQL Validation
directly into Visual Studio Code. https://t.co/PhMIapTMSt
1,302 days ago, our cofounders @narayanarjun and @frankmcsherry introduced you to Materialize and the streaming data warehouse.
Today, we’re excited to introduce you to the next evolution of Materialize: the Operational Data Warehouse.
https://t.co/VCpZR48CJW
I wish I were a better marketer to tell you how epic Materialize is, but since I'm not, just imagine it as a super-semiconductor but for operational workloads.
Are you running operational work out of your cloud data warehouse?
It's a trap! There's good reasons to start, but the requirements of analytical and operational workloads are too different. The result is high costs and hard capability dead-ends.
https://t.co/OWcNDKAGCR
you're transforming your data with dbt. how do you see results faster?
you might run your models more often or swap out your materialization types. or, you could ensure your results are always up to date with incremental view maintenance.
check it out: https://t.co/m84bGpsAWw
Unblocked tricks to fall sleep:
1. Think of tomorrow's delicious breakfast of eggs and bacon 🍳
2. Simulate reading an incredibly dull book (or kindle). Take it physically next to your pillow to power the effect.
Indexes have a clear tradeoff ⚖️: performance on one hand, overhead on the other. Is there a way to know when they are useful?
Check out our blog post to find out!
https://t.co/Zg1Hg5Mgli
What does tools like @NotionHQ, @_hex_tech, @Pitch, @loom, @splinetool, @thecubejs, etc., have in common?
They all help to deliver work (through sharing and embedding).
Result:
- Productivity
- Minimal friction (+Integrations)
The future looks bright.
One, two, stream! We're happy to announce Cube's integration with @MaterializeInc, the streaming database for real-time apps, that enables you to build live experiences for embedded analytics.
Read the blog post by @andyhattemer in our blog: https://t.co/EypCqddF6R
Join us on April 21st for a Materialize Meetup on how to build real-time applications with Materialize and best practices for optimizing this workflow!
https://t.co/EviL3scT4R
The new @MaterializeInc post is out!
Subscribe to changes in a view with tails.
What would a real-time visualization about this look like? 👉 https://t.co/Hq3tQSTpoq
Join us and https://t.co/TUHDmCySqw founder @joacocolacci next week to see a demo of Streaminy reading from Materialize - and hear about how they built a next-gen streaming analytics tool in Node.JS and React.
RSVP here: https://t.co/9hBsK0VYAi