Database Insights

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.

A detailed comparison of PgBouncer, Odyssey, and pgcat for PostgreSQL connection pooling — architecture differences, threading models, pool modes, TLS support, and decision criteria for each workload type.

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

How to size your database connection pool correctly — the HikariCP formula, the variables that determine optimal pool size, and the mistakes that cause connection exhaustion or underutilization.

MySQL 8.0 introduced EXPLAIN FORMAT=TREE — a hierarchical, human-readable query plan format that reveals join order, access methods, and cost estimates in a way that the traditional tabular EXPLAIN cannot.

Accelerate analytics with StarRocks MPP database. Learn vectorized execution, CBO optimizer, materialized views, and real-time data ingestion for sub-second query performance.

How to use pg_stat_statements to identify slow queries, analyze execution stats, and optimize PostgreSQL performance

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.

Master MongoDB aggregation pipeline stages — $lookup, $group, $facet, explain plans, and index optimization

Decode PostgreSQL wait events to diagnose lock contention, I/O bottlenecks, and CPU pressure in production

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.

Detect query plan regressions in PostgreSQL using auto_explain, pg_hint_plan, and plan baseline management