Database Insights

OpenSearch (Apache 2.0) and Elasticsearch (EL2/SSPL) have diverged. Compare licensing, security features, AI/ML capabilities, and migration complexity for 2026.

pgvector brings vector similarity search to PostgreSQL — enabling semantic search, recommendation engines, and RAG pipelines without a separate vector database.

MongoDB's indexing system supports single-field, compound, multikey, text, geospatial, and partial indexes. Choosing the right index type and key order determines whether your queries use microseconds or seconds.

Compare vector database options for AI workloads — pgvector in PostgreSQL, Pinecone, Weaviate, and Qdrant

Compare Elasticsearch, Typesense, and Meilisearch — relevance, speed, operational complexity, and when to use each

MySQL 8.0 introduced multi-valued indexes — allowing you to index individual elements of a JSON array so queries using MEMBER OF or JSON_OVERLAPS can use an index.

UUIDs as primary keys can destroy database performance. Learn why 50M rows went from 0.5ms to 2.3ms inserts, and how to fix it with hybrid approaches.

Identify bloated indexes in PostgreSQL using pgstattuple, REINDEX CONCURRENTLY, and automated monitoring

A deep dive into PostgreSQL JSONB vs JSON storage formats, GIN and B-tree indexing strategies, containment operators, and the performance characteristics that determine which to use for document storage workloads.

A production guide to PostgreSQL full-text search — building tsvector generated columns, GIN indexes, multi-column search with setweight, ts_rank scoring, websearch_to_tsquery, and comparison against Elasticsearch.

Master MySQL index data structures and optimization strategies. Learn B+ tree internals, index selection, covering indexes, and real-world performance case studies.

Build full-text search with MongoDB Atlas Search — analyzers, scoring, autocomplete, and relevance tuning