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Databases

A collection of 11 posts

immudb + AI Agents: Build a Tamper-Proof Audit Log

immudb + AI Agents: Build a Tamper-Proof Audit Log

Your agent has a database connection with write access. It also has an audit table, sitting in that same database, that records what it did. If the agent goes off the rails at 3am and you spend the next morning reading that table to work out what happened, you are

Valkey 9.2 Forkless Snapshots: BGSAVE Without fork()

Valkey 9.2 Forkless Snapshots: BGSAVE Without fork()

The page comes at 3 a.m. Memory on the cache node went from 60% to 97% in under a minute, the OOM killer picked the biggest process, and the biggest process was your cache. Nothing changed in your application. What changed is that BGSAVE fired, and BGSAVE calls fork(

Bytebase + MCP: Gate the Migrations Your AI Agent Writes

Bytebase + MCP: Gate the Migrations Your AI Agent Writes

The agent writes the migration and it looks fine. Column name is sensible, the type is right, it even remembered the index. You skim it, approve it, and it ships. Then at 2pm the ALTER TABLE takes a full lock on a forty-million-row table and the app is

Self-Host Neo4j: Knowledge Graph Memory for Your AI Agent

Self-Host Neo4j: Knowledge Graph Memory for Your AI Agent

Ask your agent "what breaks if we upgrade the auth service" and watch a pure vector store handle it. It embeds the question and returns the five most similar chunks: the auth README, a paragraph about upgrades, a runbook using the same vocabulary. What you asked for was

DBGate: One Database GUI for Your Whole Team

DBGate: One Database GUI for Your Whole Team

Every team has this setup, and every team pretends it is fine. One developer is on TablePlus, another swears by DataGrip, a third is SSHing into the box and running raw psql, and the new hire spent their first morning figuring out which VPN, which host, and which password gets

ClickHouse vs DuckDB: Which Analytical Database for Embedded vs Distributed Workloads in 2026?

ClickHouse vs DuckDB: Which Analytical Database for Embedded vs Distributed Workloads in 2026?

Every "ClickHouse vs DuckDB" article on the internet treats them as competitors. Two columnar analytical databases. Pick one. Move on. That framing is wrong, and it costs teams real time. ClickHouse and DuckDB are solving different problems. Most data teams that adopt one eventually adopt the other, and

pgvector vs Qdrant vs Weaviate: Which Vector Database Holds Up at 100M Vectors?

pgvector vs Qdrant vs Weaviate: Which Vector Database Holds Up at 100M Vectors?

Most "vector database benchmark" articles top out at 1 million vectors and call it a day. That's fine for a side project. It's not what production RAG looks like. A real production index for an enterprise documentation corpus, a content recommendation system, or a

Elestio Catalog Updates: 28 New Releases This Week (March 22-29, 2026)

Catalog Updates

Elestio Catalog Updates: 28 New Releases This Week (March 22-29, 2026)

Every week, the open-source projects in the Elestio catalog ship new versions — security patches, performance boosts, entirely new features. Keeping up is a full-time job. So we're doing it for you. Here's everything that shipped across our 400+ managed services during the week of

ClickHouse vs TimescaleDB vs InfluxDB: Which Time-Series Database for Your Analytics?

ClickHouse vs TimescaleDB vs InfluxDB: Which Time-Series Database for Your Analytics?

I've been running time-series workloads for years, and here's what nobody tells you upfront: picking the wrong database doesn't just slow things down — it shapes (and limits) every decision you make afterward. Your query patterns, your storage costs, even how your team thinks

Why Graph Databases Are the Secret Weapon Behind Fraud Detection, Recommendations, and AI

Why Graph Databases Are the Secret Weapon Behind Fraud Detection, Recommendations, and AI

Your business runs on relationships. Customers connect to products. Products connect to suppliers. Employees connect to departments. Transactions connect buyers and sellers. Every meaningful decision you make depends on understanding how things relate to each other. And yet, most companies store all of this in spreadsheets and relational databases that

pgvector vs ChromaDB: When to Extend PostgreSQL and When to Go Dedicated

pgvector vs ChromaDB: When to Extend PostgreSQL and When to Go Dedicated

Every developer building AI applications faces this question: should I add vector search to my existing PostgreSQL database, or spin up a dedicated vector database like ChromaDB? The answer depends on what you're building. Let me break it down. What's the Actual Difference? pgvector is a