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Originally appeared on Write Software Well. These are my notes from the first few chapters of Refactoring Databases by Scott Ambler and Pramod Sadalage. The book was pub...
ソフトウェア開発の全工程を学ぶ新シリーズ「イチから全部作ってみよう」。第31回は、SQLの操作方法の解説をもう一歩進めた上で、実際にワインの商品データベースを作ってみる。
Vector databases are now core retrieval infrastructure for RAG and agentic AI. This guide compares nine production options on architecture, pricing, and scale. The post Best Vector...
Database performance is one of the most important aspects of backend application development. As data grows, query execution becomes slower if the database has to scan every row re...
As part of my wider work exploring Claude Code and AI-assisted database engineering, I have been looking at how AI can support SQL Server operations. A failed job, missed... The po...
In the agentic era, the role of enterprise data is shifting from a passive resource to a dynamic System of Action. That’s why we announced the Agentic Data Cloud — a unified archit...
Not all database platforms are built for the same job.Not all database platforms are built for the same job. Here is how Upstash, Supabase, and Neon actually differ — and which one...
A large portion of the information we find online does not originate from the websites where we see it. Many platforms function primarily as aggregators: they collect data from mul...
Book: Database Playbook My project: Hermes IDE | GitHub — an IDE for developers who ship with Claude Code and other AI coding tools Me: xgabriel.com | GitHub Picture the I...
Databases play an important role in modern work environments, serving as a centralized repository for electronically stored structured data. On top of that, databases also streamli...
In financial regulation today, failing to prove data consistency is one of the fastest ways to run
The first database built for AI Agents The post Ghost: A Database for Our Times? appeared first on Towards Data Science.
Продолжая тему инструментов, интегрированных в среду разработки, сегодня мы рассмотрим клиент для работы с базами данных, доступный пользователям GigaIDE. Для пользователей Communi...
I remember the exact moment our monolith’s database buckled under pressure. We’d just rolled out a new feature, usage spiked, and suddenly every other request was fighting for a lo...
A frank comparison from an engineering standpoint — architecture trade-offs, honest benchmarks, real pricing math, and Java client examples for both. The “which vector database sho...
Originally appeared on Saeloun Blog.Caching in Rails has traditionally meant choosing between Redis or Memcached. Both are fast but expensive when we need large caches. Memory cost...
Enterprises utilize data to optimize practically all business operations today. Traditional databases, on the other hand, do not meet the shifting demands of data analysis, which n...
The Setup: The Hype Machine It’s vector database season. Conferences are full of RAG pipeline talks. Pinecone raised over $100 million; Milvus, Weaviate, and Qdrant are all well-fu...
Choosing between PostgreSQL and MySQL is one of the most consequential decisions in your application's architecture. Both are mature, open-source relational databases, but they app...
Key Takeaways Harvard researchers have launched the Differential Privacy Deployments Registry, a public database that catalogs real-world uses of differential privacy by companies...
Database schema management is one of the most challenging aspect for modern Devops practices. Liquibase gives an open-source, database-solution for tracking, versioning, and deploy...
Blog post mourning decline appears to have helped knock what was left of the veteran app's online presence offline
In this post, we first examine why traditional approaches to distributed consistency fall short for financial workloads. We then walk through how the Amazon Aurora DSQL architectur...
For two decades, SQLite was the database you used in tests, mobile apps, and quick prototypes — and then swapped out “when things got real.” That assumption is quietly breaking dow...
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