PostgreSQL vs Supabase

Vector Database vs Knowledge Graph for LLMs

A practical guide comparing vector databases and knowledge graphs as storage backends for LLM applications. The article explains that vector databases (e.g., Qdrant, pgvector, Pinecone) store embeddings and excel at semantic similarity queries, while knowledge graphs (e.g., Neo4j, RDF stores) model entities and relationships and support exact, multi-hop relational queries. The author argues most real-world LLM systems need a hybrid: vectors for retrieval and graphs for precise reasoning and auditability (a pattern exemplified by Microsoft’s GraphRAG). Tool-level trade-offs, operational costs, and a four-question decision rule are provided to help teams choose the right architecture for their queries.

• Vector databases store high-dimensional embeddings and are optimized for semantic similarity (examples: Qdrant, pgvector, Pinecone, Milvus, Weaviate, Chroma).
• Knowledge graphs store entities and relationships as first-class citizens and support exact traversals and multi-hop queries using languages like Cypher or SPARQL (examples: Neo4j, RDF stores).
• The author has deployed both approaches in production: vector solutions (Qdrant and pgvector) and Neo4j for graph workloads.

Supabase is acquiring Turso

Supabase is acquiring Turso, a serverless SQLite database company, announced on October 2, 2026.

Supabase data exposure: 16,000 databases leaking personal data

Cybersecurity firm UpGuard has discovered that approximately 16,000 databases hosted by Supabase, a popular development platform for AI vibe-coded apps, are exposing sensitive personal data to the public web. The exposed data includes names, addresses, phone numbers, and passwords, some of which are linked to sensitive projects like an Indian adult streaming site, a U.S. valet service, an immigration service, and even an African consulate. While Supabase, which recently reached a $10 billion valuation, has made security improvements, its CISO Bil Harmer emphasized that security is a shared responsibility and that projects are 'secure by default'. The findings highlight the growing risk of data breaches due to misconfigured AI-generated applications, as the ease of building apps with AI tools often leads to security flaws.

• UpGuard found around 16,000 Supabase-hosted databases exposing personal data.
• Exposed data includes names, addresses, phone numbers, and passwords.
• Supabase reached a $10 billion valuation earlier in 2026.

Supabase is now available in Gemini Enterprise

Connect Supabase to Gemini Enterprise and query your Supabase projects with natural language, right inside the platform.