Languages
SQL
The standard language for relational data for over four decades. PostgreSQL now handles JSON, full-text search, and vector operations alongside traditional queries.
Trusted by leading organisations
The standard language for relational data for over four decades. PostgreSQL now handles JSON, full-text search, and vector operations alongside traditional queries.
Trusted by leading organisations
SQL is declarative: you describe what data you want, not how to retrieve it. The query planner decides the execution strategy. Understanding how planners make decisions is what separates fast queries from slow ones.
Modern SQL extends beyond rows. Window functions, CTEs, recursive queries, and JSONB operations handle complex analytics in the database layer.
Technology snapshot
Current industry demand for this technology
How widely used by development teams worldwide
How well it handles growth in load and complexity
At a glance
Balance normalisation for integrity with denormalisation for read performance. Star schemas, JSONB columns, and temporal tables.
EXPLAIN ANALYZE, covering indexes, partial indexes, and connection pooling with PgBouncer.
Oracle to PostgreSQL, SQL Server to Aurora. Logical replication and CDC with Debezium for zero-downtime migration.
Transaction processing, ledger systems, and regulatory reporting where ACID compliance is non-negotiable.
JSONB indexing, GiST/GIN indexes, row-level security, and pg_stat_statements for performance monitoring.
Migration to PostgreSQL or Aurora using AWS SCT with parallel-run validation.
RDS, Aurora, Cloud SQL with automated backups, read replicas, and failover testing.
Audit trail schemas, retention policies, and encryption-at-rest for APRA CPS 234 and Privacy Act.
Automated EXPLAIN plan analysis in CI, flagging sequential scans and N+1 patterns before production.
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