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Build robust, scalable and standards-compliant relational data layers with PostgreSQL — the world's most advanced open-source relational database. ACID-compliant, feature-rich and battle-tested for mission-critical applications.
PostgreSQL's strict ACID compliance, advanced indexing, rich data types (including JSONB and PostGIS) and powerful query planner make it the most capable open-source relational database available.
With pgvector for AI similarity search, row-level security for multi-tenant SaaS, and excellent ORM support via Prisma and TypeORM, PostgreSQL is the default choice for data-critical applications.
Normalised schema design, index strategy and migration management with Prisma or Flyway.
Row-level security and schema-based multi-tenancy for SaaS applications.
AI-powered similarity search for semantic search, recommendations and embedding storage.
Query plan analysis, index creation, vacuuming and configuration tuning for high-traffic databases.
Location-based queries, proximity search and geofencing with PostGIS extension.
Streaming replication, connection pooling with PgBouncer and failover with Patroni.
Comprehensive PostgreSQL services tailored to your technical requirements.
Discuss Your ProjectIntegrate PostgreSQL with Node.js, Python, Laravel or any backend using Prisma, TypeORM or native drivers.
Relational schema design, normalisation, index strategy and automated migration management.
Row-level security or schema-per-tenant setup for PostgreSQL-backed SaaS applications.
Vector storage, similarity search and embedding queries for RAG and AI-powered applications.
EXPLAIN ANALYZE audit, slow query resolution, index improvements and configuration tuning.
Streaming replication, PgBouncer connection pooling, WAL archiving and disaster recovery setup.
Understand data models, query patterns, scale requirements and consistency needs.
Choose the right database type and engine based on use case, scale and team expertise.
Design tables, collections, indexes and relationships for optimal query performance.
ORM/ODM setup, query optimisation, connection pooling and data access layer.
Migration scripts, rollback strategies and zero-downtime migration execution.
Index analysis, query profiling, slow query elimination and caching layer design.
Automated backups, replication setup, failover configuration and disaster recovery.
Query monitoring, alerting, capacity planning and ongoing database administration.
Experience with SQL, NoSQL, time-series and graph databases across production environments.
Schema and index design that accounts for query patterns, not just data storage.
Design for read/write scale, sharding and replication from the start.
Safe, planned database migrations with rollback strategies and minimal downtime.
Proficient with Prisma, TypeORM, Sequelize, Mongoose, SQLAlchemy and raw queries.
Encryption at rest, row-level security, audit logging and access control.
Automated backups, point-in-time recovery and tested restore procedures.
Query performance monitoring, connection pool monitoring and capacity alerts.
Let's design a robust, performant PostgreSQL database architecture for your application.
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