data · open source
QA & Test Automation with PostgreSQL
QA & Test Automation built on PostgreSQL, chosen where it genuinely fits, and swapped where it does not.
- Category
- data
- Vendor
- Open source
- Alternatives we also use
- 5
Why PostgreSQL for this
Some things should stay manual. Exploratory testing and genuine usability judgement do not automate, and pretending otherwise wastes effort on both sides.
PostgreSQL is strongest at it handles far more workload than teams expect, with one operational model. For qa & test automation that matters because the failure modes of this kind of system tend to cluster exactly there.
The honest trade-off: genuine analytical workloads past a certain scale belong in a warehouse. We say that up front because a stack chosen for fashion rather than fit becomes someone's migration project two years later. We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.
We hand over with runbooks, tests and a team that knows how it works, not a dependency.
The honest assessment
- What it is
- Our default database, relational, JSON, full-text and vector in one engine.
- Strongest at
- it handles far more workload than teams expect, with one operational model
- Trade-off
- genuine analytical workloads past a certain scale belong in a warehouse
- Category
- data
We are not a reseller for PostgreSQL and hold no commission on this choice. Where a different option fits your workload better, the recommendation will say so. That is the entire value of asking us.
What is included
- Test strategy defining what is automated and what deliberately is not
- End-to-end coverage of the paths that carry revenue or risk
- API and integration tests, which catch more per rupee than UI tests
- Mobile testing on real devices, not only emulators
- CI integration so tests gate every change
- Flaky-test discipline, because a suite nobody trusts is worse than none
Questions
What coverage should we aim for?
Full coverage of critical paths beats a high overall percentage. A suite covering checkout, auth and payments well is worth more than 90% coverage spread evenly across trivial code.
Manual or automated?
Both. Automate regression, repetition and anything running every release. Keep humans for exploratory testing and usability judgement, which machines are poor at.
Our tests keep failing randomly. Can you fix it?
Yes, and it is common work. Flakiness usually traces to timing assumptions and shared state, and fixing it is what makes a team trust the suite again.
Alternatives for qa & test automation
Same capability, different stack. Each page states its own trade-off.
Building with PostgreSQL?
Bring us the workload and we will tell you whether this is the right stack for it.
Or email bd@dtrasglobal.com · call +91 74118 77878