Design and operate performant, secure data platforms — from OLTP systems to analytical lakes and real-time streaming.
Strong databases underpin every scalable application. We design transactional and analytical data platforms with a focus on performance, integrity, security and availability. Our experience includes SQL Server, PostgreSQL, MySQL, Oracle, and modern NoSQL and streaming platforms.
We design normalized and denormalized schemas based on access patterns and performance goals. Proper indexing strategies, partitioning, and data distribution plans are part of the design to guarantee predictable queries and reporting.
Root-cause analysis of slow queries, index tuning, execution plan reviews and schema refactors to bring down latency and reduce resource usage. We use profiling tools and synthetic workloads to validate improvements before production rollout.
Implement Always-On availability groups, clustering, logical replication, read replicas and multi-region failover strategies. Backup retention, point-in-time recovery and DR runbooks are created and tested to meet RTO/RPO objectives.
Lift-and-shift or re-architect databases for cloud-native platforms. We help migrate large datasets with minimal downtime and verify application compatibility. ETL/ELT processes are modernized and data pipelines hardened for reliability.
Implement end-to-end DB monitoring (query latency, deadlocks, waits), alerting and automated remediation scripts. Regular maintenance tasks such as index rebuilds, statistics updates and capacity planning are automated.
Role-based access control, data masking, encryption at rest, auditing and database-level firewalling. We help organizations meet compliance needs such as PCI-DSS, GDPR, and other industry regulations.
SQL Server, PostgreSQL, MySQL, Oracle, MongoDB, Redis, Kafka/Kinesis for streaming, and monitoring with tools such as Redgate, SolarWinds, Datadog and Prometheus.
High-volume Retail DB Optimization: We reduced peak load times by re-architecting indexes, introducing read replicas and introducing query caching — resulting in 40% faster checkout flows and fewer timeouts during sales peaks.
We begin with reproducible tests, capture execution plans, identify hot spots and then apply short-term fixes and longer-term schema/index changes validated via benchmarks.
Yes — we can operate as your managed DB team (SLA-backed) or simply provide advisory and one-off engagements.
