Resources
Retrieval-augmented generation (RAG), recommendation engines, image matchers, and semantic search all use a vector database to identify similarity in a high-dimensional space. To do this efficiently, they must build an index that organizes vectors so approximate nearest-neighbor (ANN)...
Nitai Kluger
A few weeks ago we published an analysis of Databricks LTAP and the architectural questions it left open. One question in particular...
Boaz Palgi
RegattaDB Launches as the Database Built for AI Agents — Unifying OLTP, OLAP, and Vectors RegattaDB unifies transactions, analytics,...
Boaz Palgi
Databricks made a significant announcement at Data + AI Summit this week. LTAP, or Lake Transactional/Analytical Processing, is their answer to a problem the...
Boaz Palgi
Things are moving fast. The market has shifted from "should we build agents" to "we are building and will...
Jim Walker
TL;DR - RegattaDB runs four applications on the hardware you'd normally use for one, without pipelines, without extra...
Boaz Palgi
The legacy data stack can’t keep up Databases are architected for one thing. You pick Postgres for...
Jim Walker
SUMMARY: The Shift to Agentic AI is real: Moving beyond basic LLMs, the Agentic Era focuses on AI systems that can...
Jim Walker
This post documents a TPC-C benchmark for RegattaDB at 1.5 million warehouses across 50 GCP nodes, sustaining over 750,000 transactions...
Jim Walker
Distributed joins are among the most demanding operations in large‑scale data systems. Trying to do this at the same time...
Jim Walker
Agents need to both think and act The core objective of Agentic AI is to deliver systems capable of executing functions that...
Jim Walker
Introduction In this post, we’ll cover how RegattaDB’s concurrency-control protocols (CCPs) enable full serializable isolation in a distributed database...
Erez Webman
In this tutorial, we'll show you just how simple it is to deploy a Spring Boot application that interacts with Regatta...
Eyal Lotan
In this blog I will provide a high level overview of Regatta’s design and architectural principles. While I keep this introduction...
Erez Webman
A few years ago, Erez Webman and I wrote a white paper describing the dirty little secrets of scale-out sharding....
Boaz Palgi
While feature-rich, scale-out products may sound complex to manage, when designed right and with architectural simplicity at the...
Chad Sakac
Regatta clusters scale from a single node to tens of thousands of nodes with hundreds of petabytes of data. Unlike traditional scale-out...
Chad Sakac