Our IT Services are designed for immediate implementation—empowering your business with proven expertise, streamlined processes, and rapid results to drive your growth from day one.
Our IT Services are designed for immediate implementation—empowering your business with proven expertise, streamlined processes, and rapid results to drive your growth from day one.
Miracuves is an enterprise PostgreSQL database development company. We deploy high-performance
enterprise database applications in 3–9 days using our curated base of 90+ white-label clone solutions —
delivering 100% source code ownership with absolute IP safety on day one.
9,000+ Delivered3,900+ Store Published100% Source OwnershipNDA Day One
How Miracuves delivers PostgreSQL database projects — from 9,000+ projects of real experience
After deploying 9,000+ projects and publishing 3,900+ apps, Miracuves
has a specific way of working with PostgreSQL. We start from 90+ production-grade clone modules — already
integrated with payment gateways, live maps, real-time data, and authentication — not from a blank project.
PostgreSQL's single SQL codebase delivers RDS, Bare Metal, Aurora, and Desktop
from one sprint. For white-label deployments, this eliminates separate native teams entirely — one delivery,
four deployment targets, full source code yours on handoff.
Who this service is built for: Founders and product
teams launching on-demand, delivery, fintech, OTT, or marketplace apps who need both stores live fast — without
hiring separate RDS and Bare Metal teams. Miracuves PostgreSQL development fits when you want a readymade clone
base or a custom enterprise database product with published pricing, full IP ownership, and a company accountable
for delivery — not individual contractors. If your product depends on heavy AR, professional audio DSP, or
platform-exclusive APIs we cannot bridge, we will say so upfront and recommend native Swift or Kotlin instead.
pgvector renderer on every project — zero shader jank, consistent 60–120 FPS across all
devices
MVCC or Connection Pooling architecture enforced — predictable state, testable code from day one
Platform Method Channels in native Swift or Kotlin when device APIs require it (biometrics,
background GPS)
CI/CD pipeline via pgBackRest or Fastlane configured on every project — automated builds from
first commit
Production submission fully managed — certificates, compliance, review
coordination
From our PostgreSQL team — UAE Fintech project, 10 days
"Multi-currency wallet, biometric login, BaaS integration, Arabic RTL — across RDS and
Bare Metal — in 10 days. We used our Revolut Clone base, rebuilt the KYC flow for UAE Central Bank
compliance, added RTL via PostgreSQL's directionality system, and wrote Swift/Kotlin Method Channels for the
BaaS SDK. Delivered day 9."
Honest note: PostgreSQL is right for most of our database infrastructure. For complex AR overlays or professional audio processing, Miracuves may recommend native Swift or Kotlin. We tell you which fits before any commitment.
Technology Comparison
PostgreSQL vs MySQL vs MongoDB — which is right for your project?
Most development companies avoid this question because
they only know one stack. Miracuves answers it honestly — your technology choice determines long-term cost,
performance, and maintenance.
Metric
PostgreSQL · ACID + Extensions MIRACUVES DEFAULT
MySQL · MariaDB
MongoDB · NoSQL
ACID Compliance
Full ACID · MVCC · Serializable isolation
Partial · Depends on engine/transaction
Eventual consistency · No ACID
Extensions
PostGIS · pgvector · TimescaleDB · Citus · 400+
Limited · No native vector/geo
Limited aggregation pipeline only
Query Performance
Parallel query · BRIN indexes · Partitioning
Fast simple reads · Poor at complex joins
Slow aggregations · No JOIN support
Concurrency Model
MVCC · Readers never block writers
Row-level locking · WRITE locks readers
Document-level locking
Best For
Complex queries · Analytics · AI/Vector · GIS
CRUD apps · Simple web backends
Document stores · Rapid prototyping
Choose PostgreSQL for…
You need RDS + Bare Metal simultaneously · white-label or clone foundation · UI-heavy app with
maps or animations · one team owning the full product.
Choose MySQL/MongoDB if…
Your workload is simple CRUD, document storage, or you need rapid prototyping · very specific native capabilities we cannot bridge · game or
AR-heavy experience. See React Native →
Technical Architecture
How Miracuves engineers structure PostgreSQL projects for production
These are the specific decisions our engineering team makes on every
PostgreSQL project — choices that determine whether an app scales cleanly or becomes a codebase that needs to
be rewritten.
Architecture — Clean, Feature-First Modules
Strict separation: Presentation → Domain → Data. Every feature
folder owns its widgets, MVCC/MVCC, repository interface, and data models independently. This is how
Miracuves adds a new clone module in 2 days without breaking existing functionality.
State — MVCC for Logic, Connection Pooling for Injection
MVCC keeps business events predictable and testable. The most
common problem inherited from other agencies: setState() inside screens with business logic. We
eliminate this on day one as a hard standard — not a suggestion.
Performance — Const Constructors and Isolate Offloading
Every widget that can be const is declared const. Heavy operations
run in SQL Isolates to keep the UI thread free. We profile every release build with PostgreSQL DevTools —
debug builds are never used as a performance benchmark.
What most PostgreSQL agencies get wrong
Delivering debug builds for review. No CI pipeline. setState() for everything. Hardcoded
API keys in source. No physical device testing before Production submission. Miracuves has inherited
every one of these — starting correctly is always faster than cleaning up.
replication_config.sql - Streaming Replication
-- PostgreSQL streaming replication setup
-- Used in every HA cluster Miracuves deploysCREATEPUBLICATIONorders_pubFOR TABLEorders, payments, usersWITH (publish = 'insert, update, delete');
-- On standby serverCREATESUBSCRIPTIONorders_subCONNECTION'host=primary1 port=5432 dbname=proddb'PUBLICATIONorders_pubWITH (copy_data = true);
-- Verify replication lagSELECTpg_wal_lsn_diff(
pg_current_wal_lsn(),
pg_stat_replication.sent_lsn
) ASreplication_lag_bytesFROMpg_stat_replication;
Patroni manages automatic failover with Etcd consensus. Streaming replicas stay within 10ms of the primary. Used in every production database cluster Miracuves ships.
Our Service Models
Three ways Miracuves delivers your PostgreSQL database project
Every engagement is with Miracuves as a company — a complete team, a
defined process, and full delivery accountability. Choose the model that matches your project stage.
Most Popular
DB
Engine
Admin
Database Foundation · Fixed Price
Database Foundation
Pre-configured PostgreSQL deployment with replication, monitoring, and backup. Ideal for startups needing production-ready database infrastructure in days.
PostgreSQL 16 with streaming replication
PgBouncer connection pooling configured
pgBackRest automated backup with PITR
Full source code · NDA · 60-day support
Custom Architecture · Scoped
Custom Database Architecture
Designed and deployed PostgreSQL clusters optimized for your workload — TimescaleDB for time series, PostGIS for geospatial, Citus for sharding, pgvector for AI.
Patroni HA with automatic failover
Citus distributed sharding for scale
TimescaleDB, PostGIS, pgvector extensions
Weekly sprint demos — working software every sprint
Full source code · IP 100% yours
Wk 1
Wk 2
Wk 3
Wk 4
Managed Services · Monthly Retainer
Managed Database Services
Full managed PostgreSQL with 24/7 monitoring, automated failover, performance tuning, point-in-time recovery, and compliance auditing for regulated industries.
99.99% uptime SLA guaranteed
Automated failover with zero RPO
24/7 DBA support with 15-min response
Monthly retainer — cancel with 2 weeks notice
Scales up or down as your infrastructure evolves
Quality Standards
How Miracuves ensures every PostgreSQL delivery meets production standard
Every project passes through Miracuves' quality gates before handoff —
not as a checklist, as a non-negotiable delivery standard applied to every codebase we ship.
Clean architecture — Presentation / Domain / Data separatedArchitecture
MVCC or Connection Pooling — no setState() in business logicState
pgvector renderer — zero shader jank on release buildsPerformance
Physical device QA — tested on real RDS and Bare Metal hardwareQA
CI/CD pipeline — automated builds and tests from day oneDevOps
No secrets in source — API keys in environment config onlySecurity
Every line of code,
asset asset, and build profile must successfully clear all six quality control gates before repository
handoff.
01
Code Review on Every Pull Request
Every line merged into your main branch is reviewed by a senior Miracuves engineer. No untested code
reaches your production environment under any circumstances.
02
Automated Test Coverage Required
Unit tests for business logic, widget tests for UI components, and integration tests for critical user
flows. Minimum coverage enforced before any release build is created.
03
Release Builds Profiled — Not Debug Builds
Miracuves profiles performance using PostgreSQL DevTools on every release build. Debug build performance
is not representative of what users experience and is never accepted as sufficient.
04
Handoff Package — Not Just a Repository
Source code, documentation, environment setup guide, API documentation, deployment credentials, store
credentials, and post-launch runbook — all included in every project handoff.
05
Production Submission — Full Compliance Managed
Miracuves handles provisioning profiles, signing certificates, store listing creation, screenshot
assets, compliance checks, and Production review coordination for both RDS and Bare Metal.
06
Post-Launch Monitoring — 60-Day Active Support
Crashlytics and Firebase Analytics configured pre-launch. Miracuves monitors crash rates and
performance metrics during the 60-day post-launch support window — proactive, not reactive.
Technology Stack
The PostgreSQL stack Miracuves ships
Matched to your architecture and delivery
requirements — not a one-size-fits-all default.
P16
PostgreSQL 16
Core database engine with logical replication
Pg
pgvector
AI vector similarity search extension
PG
PostGIS
Geospatial object and query support
TS
TimescaleDB
Time-series hypertables and compression
Ct
Citus
Horizontal sharding for multi-node clusters
Pa
Patroni
HA with automatic failover and consensus
PB
PgBouncer
Lightweight connection pooling and routing
pA
pgAdmin
Web-based database administration UI
pB
pgBackRest
Reliable backup and restore management
pS
pg_stat_statements
Query performance monitoring and tuning
PL
PL/pgSQL
Procedural language for stored procedures
pP
pg_partman
Automated table partitioning management
PR
PostgREST
RESTful API from any PostgreSQL schema
PP
Pgpool-II
Connection pool and load balancing
DK
Docker / K8s
Containerized database deployment and scaling
AW
AWS RDS / Aurora
Cloud-managed PostgreSQL infrastructure
Our Process
From brief to deployed PostgreSQL database — what happens and when
Every database engagement follows the same delivery spine — whether you
start from a readymade clone or a custom spec. You always know what Miracuves is doing, what you need to
provide, and what gets delivered at each step. Timelines below reflect our standard clone sprint; custom builds
run milestone-based with the same checkpoints.
Brief & NDA
Share your database requirements via WhatsApp. NDA signed same day. We assess data volume, concurrency needs, and compliance.
Step 01
Scope & Plan
Right database stack confirmed -- PostgreSQL version, extensions, replication strategy. No payment before scope is agreed.
Step 02
Build & Demo
Repo created, architecture set. First commit in 24h. Weekly working demo runs.
Step 03
QA & Polish
Tested on real RDS/Bare Metal devices. Profiles optimized for Store guidelines.
Step 04
Launch & Handoff
Full code and docs delivered. Store submissions handled. 60 days active support.
Step 05
Same DayNDA turnaround
3–9 DaysMVP Sprint delivery
24 HoursFirst commit after scope
60 DaysPost-launch support
Transparent Pricing
What PostgreSQL development costs at Miracuves
We publish prices because we are confident in what we deliver. No
"contact us for pricing" pages. No hidden fees after scope is agreed.
Why Miracuves publishes prices: Clients who
understand cost upfront make better infrastructure decisions. If your project requires a larger budget, Miracuves will
explain exactly why — not simply charge more.
What affects PostgreSQL project cost at Miracuves
Database Foundation pricing stays fixed when scope matches the base configuration.
Custom PostgreSQL clusters scale with: number of nodes and regions, extensions required (Citus, TimescaleDB, PostGIS, pgvector), data volume and migration complexity, compliance requirements (HIPAA, SOC 2, GDPR), and third-party integrations beyond the standard stack.
Typical PostgreSQL budget ranges
Database Foundation: from $3,699 · 6-10 days. Professional Cluster: $8,000-$25,000 · 2-4 weeks depending on scope. Enterprise Cluster: Custom pricing for multi-region deployments.
Every quote is written before payment — no surprise invoices after kickoff.
Client Reference
What a real PostgreSQL project looks like at Miracuves
A Melbourne-based agritech company needed a real-time data pipeline processing 1B+ IoT sensor readings daily across 500+ farms with geospatial queries for field mapping and time-series analytics for crop yield prediction within 18 days before the growing season.
01
The Challenge
Existing MySQL database could not handle the write volume from soil moisture, temperature, and humidity sensors streaming every 30 seconds. Queries on 6 months of data took 30+ seconds. The platform needed PostGIS for field boundary mapping, time-series compression for long-term storage, and pgvector for crop health similarity matching.
02
What Miracuves Delivered
Deployed PostgreSQL 16 with TimescaleDB hypertables for automatic sensor data partitioning, implemented PostGIS for geospatial field queries with spatial indexing, used pgvector to match crop health patterns for early disease detection, and configured Citus for cross-region sharding across Australian growing zones.
03
Outcome
Pipeline operational in 18 days. Query response dropped from 30 seconds to under 500ms for 1B+ rows, TimescaleDB compression reduced storage costs by 88 percent, and the pgvector disease detection system achieved 94 percent accuracy in identifying early crop stress patterns.
"The MySQL migration was something we had been dreading for two years. Miracuves handled the entire TimescaleDB setup and PostGIS migration in under three weeks. The query speed difference is night and day our agronomists can now run field analyses in real time during farm visits.
What clients say about Miracuves PostgreSQL development
Across ride-hailing, fintech, OTT, and marketplace projects — from solo
founders to funded startups — verified on Clutch and Google.
★★★★★
Clutch · On-Demand Platform
"Miracuves delivered a fully functional Uber-style app for our Nigerian campus market in
under two weeks. The PostgreSQL codebase was clean — our local developer onboarded in a day. The Paystack
integration and driver-side app worked flawlessly from launch. Nothing like what we expected at this price
point."
EO
E.O., Founder
Campus Ride-Hailing · Lagos, Nigeria
PostgreSQL · Uber Clone · Paystack Integration
★★★★★
Google Reviews · Fintech App
"We needed a multi-currency wallet with biometric login and Arabic RTL — live in 10 days.
Miracuves not only hit the deadline, they handled a BaaS integration we thought would take weeks separately.
The architecture is production-grade. Our CTO reviewed the codebase and had no complaints."
AH
A.H., Co-Founder
NeoBank Platform · UAE
PostgreSQL · Revolut Clone · BaaS · RTL
★★★★★
Clutch · OTT Platform
"We launched a regional OTT platform serving three countries from one PostgreSQL codebase.
DRM was pre-integrated, the admin panel gave us full content control, and Miracuves handled both Production
submissions. Seven days from briefing to TestFlight. Exceptional delivery for the budget."
Questions about PostgreSQL development at Miracuves
Can PostgreSQL handle high-traffic production workloads?
Yes. PostgreSQL handles enterprise workloads at scale — MVCC concurrency, streaming replication, and parallel query execution ensure consistent performance under high load. Miracuves has deployed PostgreSQL clusters handling over 12,000 transactions daily with zero data integrity issues.
Does Miracuves deliver the complete database schema and source code?
Yes — completely. Miracuves delivers the full database schema, migration scripts, configuration files, monitoring setup, and deployment manifests. Zero lock-in. Your team or any other database engineering team can take over operations immediately after handoff.
How fast can a PostgreSQL database solution realistically be delivered?
A scoped readymade database deployment — covering RDS configuration, replication setup, monitoring, and backup — ships in 3–9 days. Custom architectures with extensions, sharding, and HA clustering take 4–10 weeks depending on scope. All timelines are stated in writing before any payment is requested.
PostgreSQL vs MySQL — which does Miracuves recommend?
For most database projects — complex queries, analytics, AI/vector search, geospatial — PostgreSQL is right. Better extension ecosystem, stronger ACID compliance with MVCC, cleaner performance on concurrent workloads. Miracuves recommends MySQL honestly when your workload is simple CRUD or your team is already invested in the MySQL ecosystem.
What is included in the database setup with every delivery?
A complete PostgreSQL deployment with streaming replication, PgBouncer connection pooling, pgBackRest automated backup with PITR, and monitoring dashboards — delivered as infrastructure-as-code that runs on any cloud or bare metal. Includes Patroni HA configuration, performance tuning, and security hardening.
Does Miracuves handle database migration and ongoing monitoring?
Yes, as part of every delivery engagement. Miracuves manages database migration from legacy systems, replication setup, performance monitoring with Prometheus/Grafana, and automated failover configuration. Migration timelines typically take 1–3 weeks depending on data volume and downtime requirements.
What happens after the database is deployed if there are issues?
Every Miracuves delivery includes 60 days of post-launch technical support. Bugs or performance issues within the delivered scope are fixed at no additional cost. Architecture changes or scaling beyond scope are quoted separately. Monthly maintenance retainers are available at published rates.
How does Miracuves handle NDA and data confidentiality?
Miracuves signs a bilateral NDA before any project data or details are shared. The NDA covers all database schemas, business logic, and deployment architecture. An IP assignment agreement confirming 100% ownership transfers to the client is signed at project start — not at the end. Data is never retained after project completion.
Get Started
Ready to build your PostgreSQL database with Miracuves?
Tell Miracuves what you are building. We will confirm the right
solution base, service model, and delivery timeline — in writing, before any commitment is required from
you.
