PostgreSQL isn’t just a database—it’s a powerful platform. Thanks to its modular design and open-source ecosystem, PostgreSQL can be extended and integrated to fit diverse business needs, from real-time analytics and geospatial intelligence to machine learning and cross-database federation.
At Mafiree, we specialize in unlocking PostgreSQL’s full potential through custom extensions and seamless integrations with the modern data stack. Whether you need PostGIS for geospatial queries, TimescaleDB for time-series data, Citus for distributed scaling, or Foreign Data Wrappers (FDWs) to connect external systems, we design solutions that make PostgreSQL the heart of your data ecosystem.
Why Choose PostgreSQL Extensions & Integrations?
Build geospatial intelligence with PostGIS
Enable time-series and IoT analytics with TimescaleDB
Scale PostgreSQL horizontally with Citus distributed clusters
Extend PostgreSQL with custom functions, triggers, and extensions
Connect external systems using Foreign Data Wrappers (FDWs)
Integrate with Kafka, Spark, BI platforms, and microservices
Our PostgreSQL Extensions & Integration Services
Geospatial Analytics with PostGIS
Implement PostGIS for advanced location-based analytics
Support for geocoding, mapping, and spatial joins
Optimized for industries like logistics, real estate, and telecom
Time-Series & IoT Data with TimescaleDB
Extend PostgreSQL for high-performance time-series workloads
Real-time dashboards for IoT, financial, and monitoring data
Partitioning, compression, and query optimization for fast analytics
Distributed PostgreSQL with Citus
Deploy Citus for massive parallelism and sharding
Handle billions of rows across distributed nodes
Ideal for large-scale SaaS, analytics, and warehousing workloads
Custom Extensions & Functions
Develop custom PostgreSQL extensions tailored to business logic
Implement advanced features like data masking, auditing, ML pipelines
Optimize performance with plpgsql, Python, or C-based functions
Open-Source Integrations
Connect PostgreSQL with Kafka, Spark, Airflow, or Hadoop
Integrate with BI tools (Tableau, Power BI, Looker, Metabase)
Use FDWs to query MySQL, Oracle, MongoDB, or REST APIs directly from PostgreSQL
Common Challenges We Solve
Lack of horizontal scaling for growing PostgreSQL workloads
Complex integrations across multiple data sources
Missing or outdated extensions blocking modernization
Difficulty aligning PostgreSQL with open-source data platforms