data · open source
IoT Development with PostgreSQL
IoT Development 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
IoT projects fail on connectivity, not on sensors. Indian plants and remote sites lose network regularly, so local buffering and store-and-forward are the baseline rather than a refinement.
PostgreSQL is strongest at it handles far more workload than teams expect, with one operational model. For iot development 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. Integration comes before intelligence. A model that cannot reach your systems of record is a demo with good manners.
You own the code, the models where they are open-weight, and the documentation to run it without us.
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
- Device and sensor selection based on the environment, not the datasheet
- Edge gateway with local buffering so data survives connectivity loss
- Secure provisioning and over-the-air firmware updates
- Telemetry pipeline sized for your real message volume
- Dashboards and alerting that operators actually act on
- Integration with SCADA, MES or ERP where it already exists
Questions
What if the site loses connectivity?
The gateway buffers locally and forwards when the link returns. Designing for disconnection is standard in our builds rather than an enhancement.
Do we need new sensors?
Often not. Existing PLCs and control systems usually emit more than anyone consumes, and reading that is far cheaper than new instrumentation.
How do you secure devices?
Per-device credentials, encrypted transport, signed firmware and the ability to revoke a device. Shared credentials across a fleet is the failure mode we most often find and fix.
Alternatives for iot development
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