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Latest updates for Database Internals

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digitalthoughtdisruption.com /1 month ago

Production Vector Database Operations: Backup, Recovery, Reindexing, and Access Control

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javacodegeeks.com /5 days ago

LSM Trees vs B-Trees: Write Amplification, With a Real Measurement

Every storage engine talk eventually reaches the same slide. B-trees are for reads, LSM trees are for writes, pick accordingly. It’s tidy and mostly true. It also hides the interes...

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ninjaone.com /1 month ago

How Sorting, Indexing, and Temporary Storage Impact Database Performance

Many database (DB) queries rely on indexing, sorting, and temporary storage during query execution. These elements need to be well-aligned to ensure queries return results quickly...

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dev.to /4 days ago

Round-Tripping Campfire and Jellyfin Through a Database Diagram: What SQLite Lost and What We Fixed

Disclosure: I build Schemity, a desktop ERD tool - this post is from our blog and uses it for the examples. TL;DR: We put two real SQLite schemas, Campfire (Rails 8) and Jellyfin...

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databricks.com /1 month ago

Object Storage + WAL: Lakebase Postgres for the agentic era

Agents that interact with a traditional OLTP database often create bottlenecks at the storage layer. New deployments...

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databricks.com /1 month ago

Improving Lakebase Postgres compute cache

The disaggregated storage model of Lakebase Postgres provides a feature rich, flexible...

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aws.amazon.com /1 week ago

Storage layout and best practices for Amazon RDS Custom for SQL Server

Amazon RDS Custom for SQL Server gives you OS-level access, which also exposes internal storage volumes where the W: drive looks like a raw, uninitialized disk. This post explains...

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dzone.com /1 month ago

Memory-First Indexes in SQL Server 2025: Redefining Performance for Hybrid Workloads

Modern database environments rarely run a single type of workload. Most production systems handle both transactional operations and analytical queries simultaneously. These mixed w...

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databricks.com /3 weeks ago

Lakebase Postgres branch-based restores for fast recovery at scale

In managed OLTP, restores have always been painfully slow and they get slower at...

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databricks.com /2 weeks ago

Load terabytes of data in minutes into Lakebase Postgres

Operational databases like Postgres are built to reliably execute highly concurrent...

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plain-virt.blogspot.com /1 month ago

Storage Efficiency • WAFL Internals

<!-- ============================================================ Plain // Virt — Personal Tech Blog Article Topic: ONTAP WAFL Storage Efficiency (Dedup, Compression, Compaction...

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dzone.com /1 month ago

Teaching an LLM Your Schema's Rules: Inside Jailer's AI Subsetting Assistant

Anyone who has tried to build a small, realistic test database from a production schema knows the drill: you don't just want "all orders." You want a customer's orders, their order...

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dev.to /4 days ago

Round-Tripping Bitwarden and Smartstore Through a Database Diagram: What SQL Server Lost and What We Fixed

Disclosure: I build Schemity, a desktop ERD tool - this post is from our blog and uses it for the examples. TL;DR: We put two real SQL Server schemas, Bitwarden (a SQL Server dat...

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blog.stackademic.com /1 month ago

Part 10 — Data Storage & Persistence

This part spans three areas interviewers treat as one: Android’s storage APIs, the SQLite underneath Room, and the cryptography questions…Continue reading on Stackademic »

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cloud.google.com /1 month ago

A new, no-compromises database architecture for the agentic era

Entire database engineering careers have been spent on a single question: How do you scale an OLTP workload without compromising the system of record that owns the data? Exadata an...

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databricks.com /3 weeks ago

Your data, your storage, your rules: a 2026 guide to storing Unity Catalog managed tables

Unity catalog managed tables allow you to control the placement of your data when...

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javacodegeeks.com /1 month ago

DuckDB And The Embedded Analytical Database Trend

For most of the history of data warehousing, running a serious analytical query meant talking to a server somewhere: a cluster, a managed warehouse, or at minimum a separate databa...

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aws.amazon.com /1 week ago

Modernizing document storage for search, scale, and agility

Storing extracted document data in a relational JSON or BLOB column works until you need search and scale. Learn how to recognize when document data has outgrown relational storage...

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sqlservercentral.com /1 month ago

Exploring DiskANN: Part 2: PQ, SSDs, caching and beam search

How I used AI for this postChatGPT to generate images based on info specifically provided by me,including examples.Grammarly to catch grammar and sentence construction errors. In P...

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databricks.com /2 weeks ago

Scaling and Operating a Large dbt Project on Databricks: IFCO's Data Team on Performance, Visibility, and Debugging

AbstractIFCO runs one of the world's largest reusable packaging pools with hundreds of millions of crates and pallets...

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dzone.com /2 weeks ago

Apache Phoenix: Global Secondary Indexes With Tunable Consistency

Apache Phoenix provides an open-source SQL interface over Apache HBase, combining the power of NoSQL horizontal scaling and sharding with SQL simplicity for low-latency and high-th...

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noteflakes.com /1 month ago

Beyond ORMs

Originally appeared on Noteflakes.I’ve always been interested in the design of ORMs - I wanted to know how they work, what the different approaches are, and how they can be used. I...

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dzone.com /1 month ago

RAG, Vector Databases, and MCP: Wiring Them Together for Production

Why This Combination Matters Most RAG tutorials stop at the same point: embed some documents, stuff them into a vector store, retrieve the top-k chunks, and paste them into a promp...

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brentozar.com /1 month ago

Database Animations: How SQL Server’s JSON Indexes Work

By popular demand, SQL Server 2025 added JSON indexes. You can eat the cake of being able to store practically schema-less JSON blobs as part of each row, and have it too by queryi...

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