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Relational Data,
Architected for Consistency.

PostgreSQL, MySQL, and SQL Server architecture tuned for consistency, complex reporting, and long-term data integrity at enterprise scale.

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What's included

Relational Databases.

✔Schema design and normalisation strategy
✔Query optimisation and indexing strategy
✔Replication and high-availability configuration
✔Complex reporting and analytics query design
✔AI-assisted slow-query detection and tuning
Platforms & tooling
PostgreSQL MySQL SQL Server
Related technologies

Often paired with Relational Databases.

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NoSQL & Document Stores

MongoDB and other NoSQL systems designed for flexible schemas and high-throughput workloads that outgrow rigid relational models.
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⚡

Caching (Redis / GridGain)

Redis and GridGain in-memory caching architectures that keep high-traffic platforms fast, even under peak load.
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📨

Event Streaming (Kafka)

Kafka-based event streaming and queue architectures for reliable, asynchronous processing at scale - from fraud detection to real-time pricing.
Learn more →
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