7 PostgreSQL extensions that will supercharge your database in 2026

PostgreSQL ships with a solid set of features out of the box. But where it really pulls ahead of other databases is extensibility. You can bolt on entirely new data types, index methods, background workers and query planners without switching to a different database engine. The extension ecosystem has grown a lot over the past few years, and some of the options available today are genuinely impressive. Here are seven extensions worth knowing about in 2026 — whether you're running a side project or managing production infrastructure at scale. pgvector — vector similarity search If you've done any work with embeddings, recommendations or semantic search, you've probably run into the question of where to store and query vectors. A lot of teams reach for a dedicated vector database. But if your data already lives in PostgreSQL, adding a separate system creates sync headaches and operational overhead that you probably don't need. pgvector adds native vector column types and similarity searc