Technology
PostgreSQL development.
The database you will not have to apologise for in three years.
MeetOnChai Studio uses PostgreSQL as the default database for the web apps, SaaS products and backends we build. It sits under our Node.js and Next.js work whenever the data has real relationships: customers, orders, invoices, subscriptions and the rules that tie them together. We design the schema, write the migrations and set up backups so the data stays correct as the product grows.
Why we use it
Why PostgreSQL, and when not.
Most business data is relational, whether or not anyone calls it that. An order belongs to a customer, has line items, a payment and a delivery. PostgreSQL enforces those relationships with foreign keys, constraints and transactions, so a bug in the app cannot quietly leave you with a payment that has no order. That kind of correctness is cheap to set up early and very expensive to bolt on later.
It is also far more than a place to store rows. JSONB columns handle flexible data without a second database, full-text search covers a lot of search needs before you need a dedicated engine, and the pgvector extension stores embeddings for AI features right next to the data they describe. It is open source, every major cloud offers it as a managed service, and providers like Neon and Supabase make it easy to start small.
When it's the wrong call: If your data is mostly loose documents with no fixed shape, and you rarely join one thing to another, MongoDB can be simpler to work with. For a small brochure site or a WordPress store, MySQL or MariaDB is what the platform already expects. And if you need a cache, a queue or real-time counters, Redis is the better tool; we do not force Postgres into every job.
What we build
What we build with PostgreSQL.
- 01
SaaS application databases
Multi-tenant schemas with clear ownership of every row, row-level security where it fits, and indexes planned for the queries you actually run.
- 02
Order and payment records
Transactional tables for carts, orders, refunds and gateway callbacks, so a payment is never recorded twice or lost halfway.
- 03
Reporting and analytics
Views and well-indexed queries that give your team sales, stock and customer reports without exporting everything to a spreadsheet.
- 04
Search inside your app
Full-text search with ranking for products, documents or records, before a separate search service is worth its cost.
- 05
AI features with pgvector
Embeddings stored alongside your existing data for semantic search and retrieval, without running a separate vector database.
- 06
Migrations from spreadsheets or legacy databases
Moving data out of Excel, Access or an old MySQL setup into a clean schema, with checks that every record made it across.
The stack around it
What it ships with.
- Database
- PostgreSQLpgvectorJSONBFull-text search
- Access layer
- Prisma or DrizzleSQL migrationsConnection pooling
- Backend
- Node.jsTypeScriptNext.js server actions
- Hosting
- NeonSupabaseAWS RDSAutomated backups
Honest comparison
PostgreSQL vs the alternatives.
vs MySQL / MariaDB
Solid and widely hosted, and the natural fit for WordPress and WooCommerce. For custom apps we prefer Postgres for its stricter defaults, JSONB and extension ecosystem.
vs MongoDB
Faster to start when data has no fixed shape. Once you need joins, reports and strict consistency across many records, Postgres is usually less work.
vs SQLite
Excellent for prototypes, local tools and some small single-server apps. When several app servers need to write at once, Postgres is the safer default.
Services
Services that fit.
- Web App DevelopmentNext.js web apps and SaaS products that hold up under real traffic.
- SaaS DevelopmentMulti-tenant SaaS with accounts, roles and subscription billing built in from day one.
- MVP & Product DevelopmentThe smallest real version of your product, in front of users in 4-8 weeks.
- Payment Gateway & API IntegrationeSewa, Khalti, UPI, Razorpay and Stripe integrations with webhooks done right.
- DevOps & DeploymentCI/CD, hosting, monitoring and rollbacks, so launch day is boring.
- Maintenance & SupportBug fixes, updates and small improvements after launch, on a plan that fits.
FAQ
PostgreSQL questions.
PostgreSQL or MongoDB for our app?
If your data has clear relationships, like customers, orders and payments, we recommend PostgreSQL. If it is mostly self-contained documents with shapes that change often, MongoDB can be simpler. For most business apps, Postgres with a few JSONB columns covers both needs in one database.
Where will our database be hosted?
It depends on your budget and where your users are. Managed services like Neon, Supabase or AWS RDS handle backups, patches and failover, which we recommend over running Postgres on a bare server yourself. We pick a region close to your users to keep queries fast.
How do you handle backups?
We use the managed provider's automated backups with point-in-time recovery where available, and we test a restore before launch. A backup you have never restored is a hope, not a plan.
Can you speed up our slow PostgreSQL database?
Often, yes. Most slowness comes from missing indexes, queries that fetch far more than they need or too many connections. We start with the slow query log and EXPLAIN plans, fix the worst offenders first and measure the difference before touching anything else.
Can we change the schema after launch?
Yes. Every change goes through a versioned migration that is reviewed and tested before it runs in production. For large tables we plan changes so the app keeps working while the migration runs.
Every project starts with a conversation
Got an idea? Let's talk over chai.
A free 15-minute call. No pitch deck, no obligation. You leave with an honest read on what to build first.
- We reply within 24 hours, usually much sooner.
- NDA signed before you share the details.
- Based in Kathmandu, working with Nepal, India and worldwide.