Ingesting PII is easy; cleaning it up is hard. Here is how to use ClickHouse's data masking policies and regex to redact sensitive logs in flight without killing your query performance.

Postgres is the swiss-army knife of databases, but when you hit the 10-million row mark for write-heavy logs, the relational wall becomes real. Here is why we moved our observability stack to ClickHouse.

Vector databases are everywhere now. Pinecone, Weaviate, Milvus - the list goes on. But what if you're already running ClickHouse and don't want yet another database to manage? Turns out, ClickHouse can do vectors too. This post explores what vector databases actually are, why ClickHouse might be a surprisingly good choice, and how to get semantic search running with plain SQL.

"The database that runs your app cannot be the database that analyzes your app". It's a hard lesson learned at scale. Early on, Postgres does it all. But as you hit massive scale, your analytics queries start killing your login APIs. This post breaks down the physics of Row-oriented (Couchbase) vs Column-oriented (ClickHouse) databases, and how to bridge them using Change Data Capture (CDC) for a robust, lag-free architecture.