PostgreSQL Consulting for High-Performance Data

Expert PostgreSQL Engineering at Scale

PostgreSQL powers some of the most demanding applications in the world, but getting the best performance requires more than just writing SQL. InterCode's database engineers design schemas, indexes, and queries that keep your application fast as data grows from thousands to billions of rows. We specialize in performance tuning through query plan analysis, proper index selection including GIN and GiST indexes, connection pooling with PgBouncer, and partitioning strategies for large tables. Our clients commonly see query times drop from seconds to milliseconds after optimization. Beyond traditional relational workloads, we leverage PostgreSQL's extensibility for modern use cases: pgvector for AI embedding storage and similarity search, PostGIS for geospatial queries, and jsonb columns for flexible document storage. This versatility means PostgreSQL often replaces multiple specialized databases in your stack.

Applications experiencing slow queries as data volume grows need expert analysis of execution plans, missing indexes, and schema normalization. InterCode performs thorough database audits that identify bottlenecks and provide actionable optimization roadmaps. Teams building AI-powered applications use our pgvector expertise to store and search embeddings directly in PostgreSQL, eliminating the need for a separate vector database. We also help organizations migrate from MySQL, Oracle, or SQL Server to PostgreSQL with zero downtime.