PostgreSQL Development Company
Custom PostgreSQL database solutions engineered for optimized queries, scalability, and efficiency
Get a free estimateSolutions to Your PostgreSQL Development Challenges
1
Complex SQL Queries
Our PostgreSQL developers construct optimized complex SQL statements, stored procedures, and database functions to model intricate data requirements and business logic.
2
Database Tuning
We tune PostgreSQL configuration parameters, database schemas, indexes, and queries for maximum performance based on the application workload and hardware infrastructure.
3
Vacuuming and Bloat
We implement automated vacuuming strategies and monitor database bloat to ensure efficient use of storage and avoid performance degradation over time. Our PostgreSQL expertise keeps databases trimming and operating at peak efficiency.
Our PostgreSQL Development Process
Our PostgreSQL architects consult with clients to understand their data requirements, access patterns, and performance goals. We define deliverables, timelines, and success metrics.
We handle PostgreSQL installation, cloud deployment, access control, replication, connection pooling, and configuration tuning for optimal reliability and efficiency.
Our team creates an optimized PostgreSQL schema tailored to the application's queries and workflow. We utilize table inheritance, PostgreSQL data types, and table partitioning, which were beneficial.
We develop PostgreSQL functions for reusable business logic and triggers for automated data validation, auditing, and cross-table operations. These database elements simplify app code.
We review query plans and optimize complex SQL analytics leveraging PostgreSQL window functions, CTEs, and other advanced features.
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Our featured projects
- E-commerce
- eLearning app
- HR Solution
- Recruitment
- Decentriq
- eLearning web app
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FAQ
Frequently Asked Questions
Our team analyzes query patterns to optimize PostgreSQL indexing, selecting index types based on data structure and usage. We also manage index bloat and ensure indexes remain efficient.
We choose the best replication method (logical, streaming, or other) based on application needs and balance performance, data consistency, and failover capabilities for high availability.
We optimize PostgreSQL concurrency by implementing appropriate isolation levels, using optimistic concurrency control where applicable, and monitoring locking to prevent deadlocks and bottlenecks.
Our team uses various tools, including pg_dump, pg_basebackup, and WAL archiving, to back up our PostgreSQL data regularly. We also test our recovery procedures to ensure that data restores are efficient and accurate.
We map data, check compatibility, test, and use migration tools and custom scripts for a smooth transition with minimal downtime.
Our team assesses extensions for functionality, production stability/performance, version compatibility, and behavior impacts and keeps them up-to-date following best practices.
We initially optimize PostgreSQL performance through vertical scaling, then implement horizontal scaling and data distribution strategies across nodes to facilitate seamless database growth.