💧 Materialize

Streaming SQL, Differential Dataflow, Real-Time Views, Timely Dataflow

Comparing the Best AI Upscalers for Video and Images
blog.fal.ai·22h·
Discuss: Hacker News
🌀Naiad
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The Ultimate Guide to Power BI Aggregations
towardsdatascience.com·1d
👁️ClickHouse MaterializedViews
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I built a MongoDB connection manager for multi-tenant SaaS – would love code review
github.com·2d·
Discuss: r/node
🌱BonsaiDb
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Infinite scale: The architecture behind the Azure AI superfactory
blogs.microsoft.com·1d·
Discuss: Hacker News
🏗️System Design
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Rippling's Gunicorn pre-fork journey – Rippling
rippling.com·3h·
Discuss: Hacker News
🎆Firecracker
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This Is Probably the Most Lightweight Alternative Technology to Logical Data Warehouses
dev.to·1d·
Discuss: DEV
⚡ClickHouse
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Cover Image Generation Now an Option in the DEV Editor
dev.to·6h·
Discuss: DEV
📡Content Syndication
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How to Sync Anything: Building a Sync Engine from Scratch — Part 1
dev.to·1d·
Discuss: DEV
🌳Merkle Trees
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Automated Anomaly Detection & Predictive Maintenance in Borosilicate Glass Composition Analysis
dev.to·1d·
Discuss: DEV
🌀Naiad
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Test Data Creation Was Killing Our Velocity (Here's How We Fixed It)
dev.to·8h·
Discuss: DEV
🔍DTrace
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Nine Claude Code Subagents Wrote This Blog Post – Can You Tell?
benjaminste.in·2h·
Discuss: Hacker News
💬Prompt Engineering
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How to Ensure Quality of Responses in AI Agents: A Practical, End-to-End Playbook
dev.to·5h·
Discuss: DEV
🚀MLOps
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Taurus Database: How to Be Fast, Available, and Frugal in the Cloud
muratbuffalo.blogspot.com·3d·
Discuss: Hacker News
🔀Vitess
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Agentic AI Project: Build a Multi-Agent system with LangGraph and Open AI
pub.towardsai.net·1d
🐍Python
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demo
dev.to·2h·
Discuss: DEV
💬Prompt Engineering
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How to Integrate WebAssembly: 7 Practical Patterns for Faster Web Applications
dev.to·2h·
Discuss: DEV
🕸️WebAssembly
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10× Faster Log Processing at Scale: Beating Logstash Bottlenecks with Timeplus
timeplus.com·1d·
Discuss: Hacker News
🔎Quickwit
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Designing Data-Intensive Applications — Chapter 2: Data Models and Query Languages
dev.to·1d·
Discuss: DEV
🗄️Database Internals
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From Pandas to Upstream Control: The Evolution PyData Needs Next
dev.to·1d·
Discuss: DEV
🗄️Database Sharding
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History-Aware Reasoning for GUI Agents
arxiv.org·16h
📊Datalog
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