Technology serving the productProduct data

PostgreSQL for data behind your critical decisions.

ACID, performance and scalability

PostgreSQL is one of the most advanced open-source databases. We use it in projects requiring reliability and advanced features.

Discuss your technology decision See if it fits your product

Decision

Technology follows the product goal

Proof

5.0 on Google and public case studies

Outcome

Data you can trust in business-critical workflows

01 / Fit

Product first. Stack second.

When PostgreSQL is the best choice

PostgreSQL works well in projects requiring strong data consistency and advanced features.

  • Apps requiring ACID transactions
  • Financial systems and e-commerce
  • Apps with complex data relationships
  • Projects requiring JSON and relational data
  • Apps requiring advanced SQL features

When to consider alternatives

PostgreSQL has its limitations - in some scenarios other solutions will be a better choice.

  • Apps requiring very high write performance (better NoSQL)
  • Projects with very simple data structure (better SQLite)

02 / Solution

Architecture and patterns

PostgreSQL offers advanced features and flexible architecture.

  1. 01

    Connection Pooling

    PgBouncer or pgpool for connection management and performance.

  2. 02

    Replication

    Streaming replication for high availability, read replicas for read scaling.

  3. 03

    Indexing Strategy

    B-tree, GIN, GiST indexes depending on queries, regular EXPLAIN analysis.

03 / Quality

Production readiness starts before launch.

Security and quality

PostgreSQL offers advanced security features but requires proper configuration.

  • Access Control

    Role-based permissions, SSL connections, firewall rules.

  • Data Encryption

    Encryption at rest, TLS for connections, sensitive data encryption.

  • Backup Strategy

    Daily backups, point-in-time recovery, test restore procedures.

Performance and maintenance

PostgreSQL requires conscious optimization but offers excellent monitoring tools.

  • Query Performance

    EXPLAIN ANALYZE, pg_stat_statements, index optimization, query tuning.

  • Monitoring

    pgAdmin, Grafana + Prometheus, alerting on slow queries.

04 / Delivery

How we deliver PostgreSQL projects

Our delivery process is optimized for data reliability.

  1. 01

    Database Design (1-2 weeks)

    Schema design, indexing strategy, migration plan, backup strategy.

  2. 02

    Development & Maintenance

    Migrations (Knex.js, TypeORM), monitoring, performance tuning, regular backups.

FAQ

Questions before you decide

Is PostgreSQL better than MySQL?

Depends on case. PostgreSQL has better support for advanced SQL features, JSON, and ACID. MySQL is faster in some write scenarios. For most business apps PostgreSQL is a better choice.