Aizaz
Technology
PostgreSQL for SaaS Data Models and Reliable Analytics
Your SaaS, automation, and AI features need a database that stays correct under load — PostgreSQL is our default for transactional truth and rich queries.
Business outcomes we build with PostgreSQL for SaaS Data Models and Reliable Analytics
- Design multi tenant schemas that scale without painful migrations
- Keep CRM, billing, and automation data consistent and queryable
- Improve slow dashboards with indexes, views, and tuned queries
- Support audit trails and compliance with immutable event logs
Example use cases
How we use it in production
- RDS PostgreSQL on AWS or Supabase managed Postgres
- Row level security and tenant isolation for B2B SaaS
- Migrations with Prisma, Drizzle, Alembic, or Flyway
- Read replicas and connection pooling for high traffic APIs
Related services
FAQs
Frequently Asked Questions
PostgreSQL or MongoDB for our SaaS?+
PostgreSQL wins when relationships, transactions, and reporting matter — which is most B2B SaaS. We use document patterns inside Postgres JSONB when flexibility is needed.
Can you optimize an existing PostgreSQL database?+
Yes. We analyze slow queries, fix indexing, review schema design, and add pooling — common after MVPs outgrow their first data model.
Does PostgreSQL work with AI and vector search?+
Yes. pgvector and hybrid search patterns let you store embeddings next to business records without a separate siloed database.
How do you handle backups and disaster recovery?+
Automated RDS snapshots, point in time recovery, and tested restore runbooks — configured as part of production delivery, not as a later phase.
Next step
Discuss your stack
Tell us what needs connecting, replacing, or shipping — we’ll map whether this technology belongs in the system. hello@aizaz.studio +92 334 2056691