Database & Storage Architectureby SoftwareCrafting
Resilient data topologies for high-frequency reads, zero data loss, and infinite storage.
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Delivery Time
2-4 weeks
Service Overview
We design data layers that stay correct and stay fast as your data grows, which are two different problems. Correctness comes from a schema that models your domain honestly, constraints and foreign keys enforced in the database rather than hoped for in application code, transaction boundaries chosen deliberately, and migrations that can run against a live system without downtime. Speed comes later and from evidence: query plans read rather than guessed at, indexes designed for actual access patterns instead of added hopefully, connection pooling sized to real concurrency, and partitioning or read replicas introduced when the numbers justify them rather than pre emptively. Most of our work is PostgreSQL, including the parts teams underuse such as partial and covering indexes, row level security for multi tenant isolation, native partitioning for time series data, and full text and vector search that avoids adding a separate system. We also handle the operational half: backup strategy verified by restoring, point in time recovery, and upgrade paths.
Technologies we use
Key Features
- Relational schema design for PostgreSQL and MySQL
- MongoDB document modeling and collection design
- Indexing, query analysis, and performance tuning
- Zero-downtime migration planning and rollout support
- Redis caching strategies for hot paths and sessions
- File storage architecture with S3-compatible buckets
- Backup, restore, and disaster-recovery planning
- Search and reporting architecture with Elasticsearch or native full-text search
- Schema design with constraints and foreign keys enforced in the database
- Zero downtime migration strategy for live systems
- Query plan analysis and index design based on real access patterns
- Connection pooling sized to actual application concurrency
- Row level security for multi tenant data isolation
- Native partitioning for time series and high volume tables
- Full text and vector search inside PostgreSQL where it avoids a second system
- Backup, point in time recovery, and tested restore procedures
Pricing Snapshot
Starting from ₹20,000 for database design and migration
- Model: project
- Timeline: 2-4 weeks
Our Delivery Process
We use an agile, transparent process to ensure your project is completed on time and meets exactly your needs.
Data and query audit
We review entities, access patterns, slow queries, current schema, storage costs, and product workflows that depend on reliable data.
Architecture and migration plan
We design the target schema, indexes, cache boundaries, storage layout, migration sequence, rollback plan, and observability checklist.
Implementation and optimization
We implement migrations, ORM models, indexes, cache rules, storage policies, and performance fixes in staged pull requests.
Load testing and handoff
We validate query performance, backup restore paths, monitoring alerts, and operational runbooks before production release.
Why Choose SoftwareCrafting?
- Faster dashboards, APIs, search, and reporting workflows
- Lower risk migrations with rollback and validation plans
- A data model your product can grow into without constant rewrites
- Better backup, retention, and restore confidence
- Clear ownership boundaries between database, cache, search, and object storage
- Reduced cloud spend from cleaner indexes and storage policies
- Invariants enforced where application bugs cannot bypass them
- Migrations that run against production without downtime
- Indexes designed from query plans rather than added hopefully
- Tenant isolation enforced by the database, not by every query
- Backups you have proven work, because you restored from them
Frequently Asked Questions
Can you fix a slow existing database?
PostgreSQL or MongoDB - which should we choose?
Do you handle production migrations?
Can you add backups and disaster recovery?
Our queries have got slow. Where do you start?
Can you migrate our schema without downtime?
Do we need a separate search engine or vector database?
How should we handle multi tenant data isolation?
Case Studies
See how we've delivered results for our clients.
Guides that support this service
Practical engineering notes connected to database & storage architecture decisions, architecture, and implementation trade-offs.
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Solutions & industries
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Client Success & Reviews
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"Great experience working with the team - they built a high-quality website and app with excellent attention to detail. Communication was clear throughout, technical knowledge was strong, and delivery was on time. Bug fixes and support were quick whenever needed, and all project requirements were met. Highly recommended for anyone looking for a reliable, professional team."
Avesh Mansuri
Client
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