PostgreSQL Development Services
Database Design, Optimization & Cloud Infrastructure
PostgreSQL databases designed, optimized, and operated by senior engineers who've built data systems for Setu, Pine Labs, and KredX.
Trusted by engineering teams at
Procedure is a PostgreSQL development company that designs high-performance relational database architectures for fintech, payments, and SaaS products where data integrity is non-negotiable. Since 2016, Procedure's database engineers have built PostgreSQL-backed systems handling millions of daily transactions for clients including Pine Labs, KredX, and Setu. The team specializes in schema design, query optimization, and migration from legacy databases. For the application layer, we pair PostgreSQL with Node.js or Python backends.
PostgreSQL Development Track Record
Why PostgreSQL for Your Business
The database that scales from startup to enterprise without compromise.
ACID Compliance
PostgreSQL guarantees data consistency even under high concurrency. For fintech, payments, and healthcare products, this means zero data corruption risk during transaction spikes.
Zero Licensing Costs
PostgreSQL is open-source with no per-core or per-user fees. Companies running Oracle or SQL Server migrations to PostgreSQL routinely eliminate six-figure annual licensing costs.
Advanced Query Capabilities
Full-text search, JSONB document storage, geospatial queries, and window functions are built in. PostgreSQL handles workloads that typically require multiple specialized databases.
Proven at Scale
Apple, Instagram, and Spotify run critical systems on PostgreSQL. Paired with Node.js or Python application layers, PostgreSQL handles billions of rows without breaking a sweat.
Extension Ecosystem
PostGIS for geospatial, TimescaleDB for time-series, pg_vector for AI embeddings. PostgreSQL extends to new workloads through a mature plugin ecosystem instead of requiring database migrations.
PostgreSQL Development Services
Schema design, performance optimization, and production database engineering.
PostgreSQL Schema Design & Data Modeling
PostgreSQL schema design that survives your next ten features, not just the current sprint. Normalized tables where consistency matters, denormalized views where read performance matters. Proper use of PostgreSQL-specific types: JSONB for flexible data, arrays for tags, range types for scheduling, and composite types for structured fields. We design schemas that make your queries simple and your migrations painless.
PostgreSQL Performance Optimization
Slow PostgreSQL queries diagnosed and fixed. We use EXPLAIN ANALYZE, pg_stat_statements, and auto_explain to find exactly where time is spent. Index strategy designed around your actual query patterns, not textbook rules. Partitioning for tables with millions of rows. Connection pooling with pgBouncer configured for your concurrency profile. We have taken query response times from 12 seconds to under 50 milliseconds on production systems.
PostgreSQL Migration Services
Migrating from Oracle, SQL Server, MySQL, or MongoDB to PostgreSQL. Schema translation, stored procedure conversion, data migration with validation, and application-layer query rewrites. We run source and target databases in parallel during cutover so rollback is always an option. Zero-downtime migrations using logical replication for systems that cannot afford maintenance windows.
PostgreSQL on Cloud (RDS, Aurora, Cloud SQL)
PostgreSQL deployed and configured on AWS RDS, Aurora PostgreSQL, or Google Cloud SQL. Instance sizing based on workload analysis, not guesswork. Automated backups, point-in-time recovery, read replicas for scaling reads, and parameter group tuning for your specific access patterns. We configure the managed service so you get the reliability without the operational overhead.
PostgreSQL High Availability & Replication
Streaming replication, logical replication, and failover configuration for systems that need 99.99% uptime. Hot standby replicas for read scaling, synchronous replication for zero data loss, and automated failover with Patroni or cloud-native solutions. We design the replication topology around your RPO and RTO requirements, not a one-size-fits-all template.
PostgreSQL Data Pipelines & ETL
PostgreSQL as the source or destination in your data pipeline. Change data capture with Debezium, real-time sync to Elasticsearch or data warehouses, and ETL/ELT pipelines feeding analytics. pgvector for AI embedding storage and similarity search, enabling vector queries alongside your relational data without a separate vector database.
Industries We Build PostgreSQL Systems For
Domain knowledge that accelerates delivery and reduces risk.
Financial Services & Fintech
ACID-compliant transaction ledgers, audit trails, and regulatory reporting databases. PostgreSQL's row-level security and partitioning handle high-volume financial data with SOC 2 compliance.
Healthcare & Life Sciences
HIPAA-compliant patient record stores, clinical trial databases, and genomics data platforms. PostgreSQL's JSONB and full-text search handle complex medical data models.
SaaS & Technology
Multi-tenant schemas with row-level security, real-time analytics, and time-series data. PostgreSQL extensions like pg_cron and PostGIS power SaaS features at scale.
Education & EdTech
Student information systems, assessment result stores, and learning analytics databases. Complex relational models for curricula, enrollments, and progress tracking.
E-commerce & Retail
Product catalogs with faceted search, order management systems, and inventory databases. PostgreSQL's GIN indexes and materialized views power fast catalog queries.
Government & Public Sector
Citizen record databases, case management systems, and geospatial data platforms. PostGIS extensions enable location-based queries for public infrastructure and service delivery.
Is PostgreSQL Right for Your Data Layer?
The most capable open-source database. But not always the simplest.
Complex relational data with strong consistency
ACID transactions, foreign keys, and complex JOINs across dozens of tables. When your data has relationships that matter, PostgreSQL enforces them at the database level, not in application code.
Mixed workloads (relational + JSON + full-text search)
JSONB columns with GIN indexes, full-text search with tsvector, PostGIS for geospatial queries. PostgreSQL handles workloads that would otherwise require three separate databases.
Applications requiring regulatory compliance
Row-level security, audit logging, and ACID guarantees make compliance audits straightforward. Financial services, healthcare, and government projects choose PostgreSQL for a reason.
High-write transactional systems
MVCC handles concurrent reads and writes without locking. Connection pooling with PgBouncer scales to thousands of concurrent transactions. Proven at petabyte scale.
If your data is primarily document-shaped with no relational needs, MongoDB offers a more natural fit and faster iteration on schema changes. For pure caching or session storage where persistence is secondary, Redis is simpler and faster. We architect data layers with the right tool per workload, not one database for everything.
We’ve designed data architectures running PostgreSQL alongside MongoDB and Redis in the same system.
PostgreSQL vs MongoDB vs Redis: When You Need What
We use all three. Here's how we decide.
PostgreSQL
Best for
Complex relational data, ACID transactions, regulatory compliance, mixed workloads (SQL + JSON + full-text search)
Why
The most capable open-source relational database. JOINs, foreign keys, window functions, CTEs, JSONB, and PostGIS in one engine. When your data has relationships that need enforcement, PostgreSQL handles it at the database level.
We use it when
Your data is relational, you need multi-table transactions, or compliance requires strong consistency guarantees. Also when you need JSON flexibility alongside relational structure (JSONB columns with GIN indexes).
MongoDB
Best for
Document-shaped data, rapidly evolving schemas, content management, real-time analytics, horizontal scaling
Why
Flexible schema means no migrations for every product change. The aggregation pipeline handles complex analytics. Native sharding scales horizontally across regions. Atlas simplifies operations with managed infrastructure.
We use it when
Your data is naturally document-shaped (catalogs, user profiles, CMS content), schema changes are frequent, or you need to scale writes horizontally across regions.
Redis
Best for
Caching, session storage, real-time leaderboards, rate limiting, pub/sub messaging
Why
In-memory data store operating at microsecond latency. Data structures (sorted sets, streams, HyperLogLog) solve common problems without application logic. Redis Stack adds JSON, search, and time-series on top.
We use it when
You need sub-millisecond reads, are caching database queries or API responses, need real-time counters or leaderboards, or want pub/sub messaging between services.
Most production systems use more than one. PostgreSQL for the core transactional data, MongoDB for flexible document storage, and Redis for caching and real-time features. We design data architectures that use each database for what it does best rather than forcing one to do everything.
Our Approach to PostgreSQL Development
Your database outlives your application code. We design it that way.
Schema Design Is System Design
The database schema is the most durable part of your system. Application code gets rewritten, but table structures persist for years. We invest time in getting the data model right because fixing a schema mistake in production costs 10x more than getting it right upfront.
Measure Before Optimizing PostgreSQL
We do not add indexes based on intuition. EXPLAIN ANALYZE, pg_stat_statements, and workload analysis tell us exactly where time is spent. Every optimization is measurable, and we show you the before and after numbers.
Managed Services When Possible
Running PostgreSQL on bare metal is rarely worth the operational cost. AWS RDS or Aurora handles backups, patching, failover, and monitoring. We configure the managed service correctly so your team focuses on application logic, not database operations.
Data Integrity Over Convenience
Foreign keys, check constraints, unique indexes, and NOT NULL where appropriate. The database should reject bad data, not leave validation to the application layer alone. Constraints are documentation that the database enforces automatically.
Exit-Ready Data Architecture
No proprietary extensions, no vendor lock-in patterns, no undocumented schema decisions. Your team or any qualified DBA can take over operations. Complete documentation covering every schema choice and its rationale.
How We Deliver PostgreSQL Projects
Working software every sprint, not just progress updates.
Data Architecture and Discovery (1-2 weeks)
We analyze your data requirements, access patterns, and growth projections. You get a technical proposal covering schema design, indexing strategy, hosting recommendation (self-managed vs. RDS vs. Aurora), replication topology, and backup policy. No implementation until the data model is right.
Schema Design and Migration Planning (1-2 weeks)
Entity-relationship diagrams, table definitions with constraints, index strategy documented, and migration scripts written. For database migrations, we map source-to-target schema differences and build the data validation suite. Your development team can start building against the schema immediately.
PostgreSQL Implementation & Optimization (4-12 weeks)
Database provisioned, schemas deployed, application integration built. Performance testing with production-like data volumes from the start. Query optimization happens during development, not after launch. We benchmark every critical query path against your SLA targets.
Load Testing and Hardening (1-2 weeks)
Simulated production load with realistic data volumes and concurrency. Connection pool sizing verified. Vacuum and autovacuum tuned. Monitoring configured with pg_stat_statements, CloudWatch or Datadog. Nothing goes live until the database handles your peak load with headroom.
Handoff & PostgreSQL Operations Transfer
Complete documentation covering schema decisions, index rationale, replication setup, and operational runbooks. Your team or DBA owns the database entirely. Optional support retainer for ongoing optimization, but no lock-in.
Our PostgreSQL Stack
Every tool earns its place. Here’s what we ship with and why.
| Layer | Tools | Why |
|---|---|---|
| Database | PostgreSQL 17 | Latest stable with incremental backup, improved JSON handling, and better query performance |
| Extensions | PostGIS, pg_vector, TimescaleDB, Citus | PostGIS for spatial data, pg_vector for AI embeddings, TimescaleDB for time series, Citus for horizontal scaling |
| ORM / Query | Prisma, SQLAlchemy, TypeORM, Drizzle | Prisma for TypeScript, SQLAlchemy for Python, TypeORM/Drizzle depending on runtime constraints |
| Migration | Flyway, Alembic, Prisma Migrate | Flyway for Java/enterprise, Alembic for Python stacks, Prisma Migrate for TypeScript |
| Monitoring | pganalyze, pg_stat_statements, Grafana | pganalyze for query optimization insights, pg_stat_statements for bottleneck identification, Grafana for dashboards |
| Replication | Streaming replication, Patroni, pgBouncer | Streaming replication for HA, Patroni for automated failover, pgBouncer for connection pooling |
| Backup | pg_dump, Barman, WAL-G | pg_dump for logical backups, Barman for physical backup management, WAL-G for WAL archiving to cloud storage |
| Cloud Managed | AWS RDS, Aurora, Cloud SQL, Azure Database | RDS for straightforward hosting, Aurora for high throughput, Cloud SQL and Azure for multi-cloud |
| Infrastructure | Docker, Kubernetes, Terraform | Containerized deployments with infrastructure as code for reproducible environments |
| CI/CD | GitHub Actions, automated migration testing | Every migration runs against a test database before touching production |
PostgreSQL handles relational data, vector search, geospatial queries, and time series in a single engine. We use extensions instead of adding databases. Fewer moving parts means fewer things to break at 3 AM.
Testimonials
Trusted by Engineering Leaders
“What started with one engineer nearly three years ago has grown into a team of five, each fully owning their deliverables. They've taken on critical core roles across teams. We're extremely pleased with the commitment and engagement they bring.”
“We've worked with Procedure across our portfolio, and the experience has been exceptional. They consistently deliver on every promise and adapt quickly to shifting project needs. We wholeheartedly recommend them for anyone seeking a reliable development partner.”
“Procedure has been our partner from inception through rapid growth. Their engineers are exceptionally talented and have proven essential to building out our engineering capacity. The leadership have been thought partners on key engineering decisions. Couldn't recommend them more highly!”
“What started with one engineer nearly three years ago has grown into a team of five, each fully owning their deliverables. They've taken on critical core roles across teams. We're extremely pleased with the commitment and engagement they bring.”
Discuss Your PostgreSQL Project
Whether it’s schema design, performance tuning, or migrating databases, we’re happy to talk through your situation.
Schedule a CallNo sales pitch. Just an honest conversation.
What you get
- Engineers with 4+ years of production PostgreSQL (query optimization, not just basic CRUD)
- Schema design, migration strategy, and performance tuning expertise
- Experience with PostGIS, pg_vector, TimescaleDB, and advanced extensions
- Same timezone overlap (India-based team, flexible to US working hours)
- No recruiting overhead - engineers are vetted, onboarded, and managed
Hire PostgreSQL Developers
Senior database engineers who design schemas that scale from day one.
Dedicated Developer
Engineers with 5+ years of production PostgreSQL experience spanning schema design, query optimization, replication, and cloud deployment. Not application developers who write SQL on the side.
Ongoing database work or optimization projects, 3-month minimum engagement
Team Pod (2-3 Engineers + Lead)
A team covering database architecture, application integration, and DevOps. Full ownership of data layer design, implementation, migration, and production operations.
Large-scale migrations or data platform builds, 6-month minimum engagement
Project-Based Delivery
Fixed-scope engagement for specific database projects: migrations, performance audits, or schema redesigns. Clear deliverables, timeline, and transparent pricing.
Defined scope like a migration or performance overhaul, scope-dependent
Starting at $3,500/month per developer for full-time dedicated engagement.
Talk to Us About Your TeamReady to Discuss Your
PostgreSQL Development Services Project?
Tell us about your database challenges. Whether it's schema design, performance tuning, or migrating to PostgreSQL, we'll assess your data architecture and give honest next steps.
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PostgreSQL Development FAQ
PostgreSQL development costs vary by scope. A performance audit and optimization for an existing database typically runs $8,000 to $25,000. A greenfield database design with application integration costs $30,000 to $80,000. A full database migration from Oracle or SQL Server to PostgreSQL ranges from $50,000 to $200,000+ depending on schema complexity, stored procedure conversion, and data volume. Procedure offers a free architecture consultation to scope your project.