Custom database architecture from our database development company.

SQL (PostgreSQL, MySQL, SQL Server) for structured data with complex relationships, transactions, and joins. NoSQL (MongoDB) for flexible schemas, document-heavy data, and rapid iteration. Redis for caching and real-time data. We evaluate based on your data model, query patterns, consistency requirements, and scale targets.

Yes. We handle schema translation, data migration, application code updates, and performance validation — supporting migrations like MySQL to PostgreSQL, SQL Server to PostgreSQL, MongoDB to PostgreSQL, and MS Access to SQL Server.

Query optimisation with EXPLAIN analysis, proper indexing strategies, connection pooling, read replicas, materialized views, caching layers with Redis, and database sharding when needed. We use APM tools to identify slow queries proactively.

Yes. Retainer-based DBA services covering monitoring, alerting, backup verification, security patching, query optimisation, capacity planning, and incident response.

We ensure zero data loss by utilizing logical replication or change data capture (CDC) tools (like AWS DMS). This syncs the legacy database to the new platform in real-time, allowing for validation before a seamless DNS cutover.

Yes, we specialize in rescuing poorly structured legacy databases. We map out data dependencies, refactor tables into Third Normal Form (3NF) to eliminate redundancy, and create robust foreign key constraints to ensure absolute data integrity.

We analyze slow query logs and execute EXPLAIN plans to identify full table scans. We then systematically add targeted compound indexes, rewrite poorly structured subqueries as JOINs, and optimize database memory allocation (Buffer Pool/Shared Buffers).

Expert schema design enforces strict data types, implements check constraints for valid ranges, utilizes UUIDs for primary keys, and strictly enforces cascading updates/deletes via foreign keys, preventing orphaned data records.

Absolutely. We architect automated partitioned tables based on date ranges. Utilizing cron jobs or native event schedulers, historical partitions are automatically detached and moved to cheaper, cold cloud storage (like Amazon S3 Glacier).

We mandate the use of parameterized queries (ORMs/Prepared Statements) at the application level. At the database level, we enforce Principle of Least Privilege (PoLP) roles, IP whitelisting via VPC, and strict TLS encryption for all transit.