Complex apps need a database that stays reliable as data and demands grow. Our team at Webtech Nepal uses PostgreSQL to build data systems that handle complexity without breaking down. We work on database design, migrations, and performance tuning. We work with your existing applications, backend systems, and hosting setup. We’re based in Nepal and work with clients locally and abroad. From setup to ongoing support, we stay involved at every stage of the project.
We are a Nepal PostgreSQL development company designing and optimizing relational database systems for web applications, SaaS platforms, and data-driven products using PostgreSQL alongside our core stack — Laravel, Node.js, NestJS, Next.js, Django, and React.js.
We don’t treat PostgreSQL as just a relational database. We treat it as a core part of your product system — integrated directly into your application architecture, query performance strategy, data integrity design, and long-term backend engineering infrastructure.
Our engineers work inside your environment, designing and optimizing PostgreSQL databases in small, controlled iterations with a focus on clean schema design, advanced query optimization, and predictable data reliability. Whether it’s a new PostgreSQL architecture from scratch, an existing schema that needs optimization and normalization, or a slow production database that needs performance tuning, indexing strategy, and query plan analysis, we bring structure to the data layer and clarity to the development process.
We also step in as PostgreSQL consultants when teams need direction — helping with schema design decisions, query optimization, replication strategy, partitioning design, and database architecture reviews. This can be a focused audit or long-term embedded support, depending on what your product needs.
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We design normalized, well-structured PostgreSQL schemas with proper table relationships, foreign key constraints, check constraints, domain types, indexing strategies, and data type selections — building a data foundation that supports your application’s query patterns and scales cleanly as data volumes and complexity grow.
We analyze slow query logs, interpret EXPLAIN ANALYZE output, optimize complex JOIN operations, design partial and covering indexes, rewrite inefficient subqueries using CTEs, and tune PostgreSQL server configuration — delivering measurable improvements to database response times and application throughput under real production load.
We design PostgreSQL databases that work cleanly with Laravel’s Eloquent ORM and Django’s ORM — with proper migration structures, relationship definitions, eager loading strategies, raw query optimizations, and PostgreSQL-specific features like JSONB columns and full-text search integrated directly into your application data layer.
We build type-safe PostgreSQL data layers for Node.js and NestJS applications using Prisma or TypeORM — with proper entity definitions, migration management, transaction handling, and connection pooling configured for reliable performance under high concurrent application load.
We configure PostgreSQL streaming replication, logical replication, read replica routing, connection pooling with PgBouncer, and automated failover using Patroni or cloud-native solutions — building high availability database architectures that keep your application running reliably during maintenance windows and unexpected failures.
We migrate older MySQL databases or legacy PostgreSQL versions to modern PostgreSQL in controlled steps — adopting advanced data types, window functions, improved JSON support, table partitioning, and modern indexing strategies without disrupting ongoing application development or risking data integrity.
PostgreSQL offers the most complete feature set of any open-source relational database — full ACID compliance with serializable isolation, advanced data types including JSONB, arrays, hstore, and custom types, powerful full-text search, table partitioning, advanced indexing options including GIN, GiST, and BRIN indexes, and a highly extensible architecture supporting custom functions, operators, and extensions like PostGIS for geospatial data. For applications that need advanced querying, strict data integrity, or complex analytical workloads, PostgreSQL consistently outperforms MySQL in capability and long-term maintainability.
We are based in Nepal and work remotely with clients across different regions through structured communication and delivery workflows.
PostgreSQL is our preferred relational database across the entire stack. We use it with Laravel’s Eloquent ORM and migration system for PHP applications, with Prisma or TypeORM for Node.js and NestJS backends, with Django’s ORM for Python projects, and with direct pg client queries for performance-critical operations where ORM abstraction introduces unnecessary overhead — always leveraging PostgreSQL-specific features like JSONB, CTEs, and window functions where they deliver real application value.
Yes. We conduct full PostgreSQL performance audits — analyzing slow query logs with pg_stat_statements, interpreting EXPLAIN ANALYZE execution plans, reviewing index coverage and usage statistics, identifying bloated tables requiring VACUUM, examining connection pool configurations, reviewing autovacuum settings, and tuning postgresql.conf parameters — then implement targeted improvements that deliver measurable reductions in query response time and server resource consumption.
Yes. We manage PostgreSQL schema migrations using framework-native tools like Laravel Migrations, Django Migrations, Prisma Migrate, or Flyway — with version-controlled migration files, zero-downtime migration strategies for large tables, rollback procedures, and careful deployment sequencing that keeps schema changes safe, reversible, and synchronized across all environments without locking production tables.
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