data · open source
Cloud Migration with PostgreSQL
Cloud Migration 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
Cloud is not automatically cheaper. Lifting an oversized on-premise workload into a cloud instance frequently costs more, and we model it honestly before anyone commits.
PostgreSQL is strongest at it handles far more workload than teams expect, with one operational model. For cloud migration 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. Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move.
Six weeks to something running in production, not six quarters to a strategy document.
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
- Inventory of every workload, dependency and integration before planning
- Cost model comparing current spend against realistic cloud spend
- Migration approach per workload rather than one strategy for all
- Staged cutover with rollback at each step
- Security posture, network design and access control
- Post-migration cost optimisation, because the first bill is never the last word
Questions
Will cloud reduce our costs?
Sometimes, and not automatically. Variable and spiky workloads usually save; steady heavy compute often does not. The cost model in week one gives you the real answer for your estate.
Can we migrate without downtime?
For most workloads, yes, with staged cutover and parallel running. Some database migrations need a short planned window, which we rehearse rather than improvise.
Should we go multi-cloud?
Rarely, unless you have a specific reason. Multi-cloud doubles operational complexity and most organisations do not recover that cost in resilience or leverage.
Alternatives for cloud migration
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