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Storage & Warehousing
PostgreSQL

PostgreSQL

The world's most advanced open-source relational database

https://www.postgresql.org

What It Is

PostgreSQL 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.

How We Use It

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.

Our Expertise

  • Performance Tuning

    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.

  • Indexing Strategies

    We design partial indexes, expression indexes, covering indexes, and multi-column indexes tailored to actual query patterns.

  • Partitioning & Scaling

    We implement declarative partitioning, design partition strategies (range, list, hash), and evaluate solutions like Citus for horizontal scaling.

  • Replication & High Availability

    We set up streaming replication, logical replication, and Patroni-based HA clusters.

  • Extensions Ecosystem

    We leverage TimescaleDB for time-series, PostGIS for geospatial, pgvector for AI/ML embeddings, and pg_stat_statements for monitoring.

Use Cases

Typical Use Cases

1

Application Database

Primary database for web services and APIs.

2

Metadata Store

Backend for data platforms and orchestration tools.

3

Time-Series Data

IoT and monitoring data with TimescaleDB extension.

4

Vector Search

AI/RAG applications using pgvector for embedding similarity search.

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