Technology · Data
A reliable database for the records your business runs on: orders, payments, bookings and stock, kept accurate and easy to report on.
How we use it
PostgreSQL is our default database for orders, payments, bookings, inventory and accounts, and its extensions often remove the need for separate search, geospatial or vector systems.
Official site: postgresql.org (opens in new tab)
PostgreSQL is a free, open-source database: the place where your app keeps its records. It stores information in linked tables, so every order knows its customer, items and payment. For you, that means records that stay consistent even when something fails halfway, and reports your accountant can trust.
Business data is relational: customers have orders, orders have items and payments, payments have refunds. PostgreSQL enforces those relationships with constraints and transactions, so a failed step rolls back cleanly instead of leaving a half-recorded payment. We usually run it on a managed service such as Amazon RDS or Aurora in an Indian region.
Use cases
Transactional records with constraints and audit history.
Nearest store, delivery zones and service areas with PostGIS.
Weighted full-text search without a separate engine.
Embeddings in pgvector next to the data they describe.
Tenant isolation with row-level security.
ACID transactions keep data correct even when a request fails midway.
JSONB stores varied product attributes without giving up relational design.
Extensions add location queries, full-text search and AI search, so you run and pay for fewer systems.
Backups, replication and managed hosting are available on every major cloud.
Comparison
| PostgreSQL | MongoDB | |
|---|---|---|
| Data model | Tables with relationships and constraints | Flexible JSON-like documents |
| Multi-record transactions | A core strength | Supported, used more sparingly |
| Reporting and joins | Straightforward with SQL | Aggregation pipelines; joins are limited |
| Good fit | Orders, payments, bookings, accounts | Variable content, event logs, prototypes |
Plain-English glossary
Services
Browser-based products, customer portals, dashboards and internal tools, built on clean data models with secure roles and integrations.
Multi-tenant SaaS products with subscription billing, team roles, onboarding and usage analytics, from first MVP to paying customers.
Secure, documented REST and GraphQL APIs, plus integrations that connect your apps to payment, logistics, GST, messaging and business systems.
Software shaped around how your business runs, from approvals and inventory to billing and reports, replacing spreadsheets and disconnected tools.
Solutions
Custom ERP software connecting purchase, inventory, production, sales and GST compliance, alongside your existing accounting system.
Custom inventory software for multi-location stock, batch and expiry tracking, barcode scanning and marketplace stock sync.
Custom loan origination and loan management software covering applications, underwriting, disbursal, EMIs, collections and reporting.
Grocery delivery apps for supermarkets, kirana chains and dark stores, with slots or express delivery, substitutions, picking and live tracking.
Hospital management software covering registration, OPD, IPD, billing, pharmacy, lab and insurance workflows, with ABDM options and role-based access.
Work
Illustrative projects that show how we plan and build products that use PostgreSQL. They are samples, not client work.
Delivery app development
An illustrative platform for neighbourhood grocery stores: slot or express delivery, store picking, batched delivery runs, and payment by UPI or cash on delivery.
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AI solutions
An illustrative AI assistant that answers order, return and product questions from a D2C brand's own policies and order data, with sources and a human hand-off.
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E-commerce & marketplaces
An illustrative ordering app for a distributor's retailers and sales team, with tier pricing, credit limits, trade schemes and GST invoicing.
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Healthcare software
An illustrative patient app, doctor app and clinic admin for in-person and video consultations, with digital prescriptions and consent-based record access.
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E-commerce & marketplaces
An illustrative marketplace where independent fashion labels sell through one storefront, with vendor onboarding, commission rules, multi-pickup shipping, returns and scheduled payouts.
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Business software
An illustrative SaaS for businesses running their own vehicles: live dispatch on a map, driver proof of delivery and per-trip billing for each customer.
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Device management & kiosk solutions
An illustrative kiosk product for retail chains: locked Android tablets for catalogues and price checks, a staff launcher, and a console to enrol, update and monitor every device.
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Device management & kiosk solutions
An illustrative console for school tablets: iPad devices through Apple School Manager and MDM, Android™ tablets through Android Enterprise, with class-based rules teachers can follow.
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Industries
Industries whose typical builds with us include PostgreSQL.
FAQ
Yes. We read the slow query log and execution plans to find the queries that cost the most, then fix them with the right indexes, query rewrites or schema changes. Common culprits are missing indexes on foreign keys, N+1 queries from an ORM and heavy reports running on the primary database. We measure before and after and add monitoring.
Often, yes. With pgvector, embeddings sit next to the records they describe, so one query can filter by tenant, category or permission and rank by similarity. That keeps access control in one place and avoids syncing two systems. For very large collections or specialised search needs, a dedicated vector database may perform better, and we will say so.
We map the schema and data types, convert stored procedures and application queries, and rehearse the migration on a copy of production data to measure timing and catch issues. For minimal downtime, changes can replicate continuously until a short switch-over window. Row counts and checksums confirm the data matches before the old system is retired.
Related
Next step
New schema, slow queries or a migration: tell us what's happening and we'll suggest next steps.
