Database Optimization Services
Faster. Cheaper. More Reliable.
Slow databases are business problems. They delay transactions, frustrate users, inflate cloud bills, and block your development team. We systematically eliminate the bottlenecks slowing your organization down.
Every Optimization Lever — Applied Strategically
Real optimization goes deeper than adding an index. We address the full stack: query logic, indexing strategy, schema design, server configuration, and hardware allocation.
Query Tuning
Rewriting inefficient queries, eliminating implicit conversions, fixing parameter sniffing, applying query hints, and using Query Store to lock in good plans over time.
Index Strategy & Design
Missing index identification, redundant index elimination, covering index design, columnstore index evaluation for analytics, and automated index maintenance scheduling.
Schema & Data Model Redesign
Normalization/denormalization trade-off analysis, data type optimization, partitioning strategy for large tables, and archiving design to keep active data sets lean.
Server & Instance Configuration
Memory configuration, MAXDOP, cost threshold for parallelism, TempDB setup, trace flags, and storage I/O configuration — the server-level settings that affect every query.
Blocking & Deadlock Resolution
Root cause analysis of locking chains and deadlock graphs, isolation level recommendations, and code-level fixes to eliminate concurrency bottlenecks.
Ongoing Performance Management
Continuous baseline monitoring, regression detection, quarterly performance reviews, and proactive maintenance to sustain optimized performance as data and workloads grow.
We Optimize Across Your Entire Stack
Different databases have different performance levers. We apply platform-specific expertise — not generic advice that works nowhere in particular.
SQL Server (2012–2022)
All editions and versions, on-premises and on VMs. Full access to Query Store, DMVs, extended events, and SQL Server Profiler for deep workload analysis.
Azure SQL Database & MI
DTU/vCore sizing, Intelligent Insights, Automatic Tuning evaluation, Geo-Replication performance impact, and Elastic Pool configuration.
Oracle Database
Execution plan analysis with SQL*Plus and OEM, AWR/ASH report interpretation, optimizer statistics tuning, and partitioning strategy for large tables.
PostgreSQL
EXPLAIN ANALYZE interpretation, pg_stat_statements analysis, VACUUM and autovacuum tuning, connection pooling with PgBouncer, and index type selection.
MySQL / MariaDB
Slow query log analysis, InnoDB buffer pool tuning, query cache evaluation, replication performance, and schema optimization for OLTP workloads.
Azure Synapse Analytics
Distribution strategy (hash vs. round-robin), statistics management, result-set caching, workload management groups, and dedicated vs. serverless pool selection.
Measure, Optimize, Validate
Performance Baseline
We capture current wait statistics, top queries by resource consumption, index usage, and key performance metrics — establishing the before state for every change we make.
Root Cause Analysis
We trace performance problems to their actual source — not just symptoms. Many "slow query" problems are really indexing, statistics, or application design issues in disguise.
Prioritized Optimization Plan
We rank fixes by expected impact vs. implementation risk, giving you a clear roadmap with quick wins and longer-term structural improvements.
Implementation & Validation
We implement fixes with rollback plans, measure performance after each change, and validate that improvements are real and sustainable — not just faster in isolation.
Database Optimization Questions
How long does a database optimization engagement take?
A targeted performance audit and initial optimization typically takes 2–4 weeks. Structural improvements (schema redesign, partitioning, archiving) are planned as follow-on projects with longer timelines.
We're being told we need to upgrade our hardware. Is that really the answer?
Hardware upgrades are often the expensive solution to a software problem. In our experience, 70–80% of performance issues can be resolved through query tuning and indexing before hardware becomes the constraint.
Can you optimize our database without application code access?
Yes. Most database-level optimizations — indexing, statistics, server configuration, blocking resolution — don't require application code changes. When application-level changes would help, we document them as recommendations for your development team.
Do you offer ongoing optimization or only one-time engagements?
Both. Many clients start with a one-time deep-dive and then retain us on a monthly basis for continuous performance monitoring, regression detection, and proactive maintenance.