One of the biggest hidden costs in retrieval-augmented generation is not the model itself, but the storage burden of the vector index sitting underneath it. That is the problem LEANN
The market for backend services for web and mobile apps has long been dominated by a small group of familiar names, especially Firebase and, more recently, Supabase. But alongside those
MariaDB has signed a definitive agreement to acquire GridGain Systems, the company best known for its in-memory computing technology and for being the original creator of the open-source Apache Ignite
Over the past two years, “GenAI text-to-SQL” became one of the most repeated promises in enterprise AI: describe your question in plain English and get perfect SQL, ready for production.
For years, plenty of architecture discussions have leaned on a convenient idea: that SQL databases “don’t scale,” and that beyond a certain size the natural move is to abandon the
At a time when “scale” is often synonymous with sharding everything and building increasingly complex distributed systems, OpenAI is describing a notably restrained database architecture behind ChatGPT: a single PostgreSQL
Every sysadmin has seen the same pattern: backups start out as a clean pg_dump job, a couple of cron entries, and a bucket. Six months later it’s a fragile web
For years, running a couple of database queries has come with a hard-to-defend paradox: to do something simple, many developers end up launching heavy apps, installing huge toolchains, burning memory,
In modern infrastructure, cache is one of those quiet components that decides everything: whether a site feels instant or sluggish, whether an API survives a traffic spike or collapses, and
Databases rarely become “the bottleneck” with a clean warning. It usually starts with a small latency drift. Then CPU spikes appear during peak hours. Lock contention grows. Connection pools begin
