The world's most advanced open-source relational database
https://www.postgresql.orgPostgreSQL is the world’s most advanced open-source relational database, known for its reliability, feature richness, and extensibility. Beyond traditional OLTP workloads, PostgreSQL supports JSON documents, time-series data (TimescaleDB), geospatial queries (PostGIS), full-text search, and even vector similarity search (pgvector) โ making it an incredibly versatile foundation for data architectures.
PostgreSQL is a cornerstone of our data stack. We use it as the application database for our own platforms (including DMP.AF), as a metadata store for orchestration tools, as a lightweight analytical backend for smaller-scale workloads, and as a source system for extraction pipelines. Our deep PostgreSQL expertise ensures we get the most out of this versatile database in every context.
We optimize PostgreSQL for demanding workloads: query plan analysis (EXPLAIN ANALYZE), index strategies (B-tree, GIN, GiST, BRIN), query rewriting, CTE optimization, and statistics tuning.
We design partial indexes, expression indexes, covering indexes, and multi-column indexes tailored to actual query patterns.
We implement declarative partitioning, design partition strategies (range, list, hash), and evaluate solutions like Citus for horizontal scaling.
We set up streaming replication, logical replication, and Patroni-based HA clusters.
We leverage TimescaleDB for time-series, PostGIS for geospatial, pgvector for AI/ML embeddings, and pg_stat_statements for monitoring.
Primary database for web services and APIs.
Backend for data platforms and orchestration tools.
IoT and monitoring data with TimescaleDB extension.
AI/RAG applications using pgvector for embedding similarity search.
Join companies that trust iJKos & partners to build reliable data infrastructure and turn complexity into clear, confident decisions.