A high-volume blockchain platform built on SOLANA technology is experiencing critical database performance bottlenecks in its production environment. The system was designed to handle trillions of rows and multi-terabyte tables, but as data volumes grew, performance declined rapidly. With tables scaling to 4–5 TB each, the company faced skyrocketing computer costs, slow query execution, and reduced application responsiveness.
To address these challenges, the client partnered Codinix Technologies, a trusted provider of Database Optimization Services. Our mission was to stabilize performance, reduce operational overhead, and optimize the underlying database for high-throughput blockchain workloads—all without compromising data integrity or availability.
Codinix was brought in to deliver the following strategic objectives:
Minimize query latency for real-time transaction processing and reporting
Reduce overall storage footprint and system maintenance overhead
Refactor and optimize schema design to support scale and efficiency
Improve database statistics, indexing, and query plan accuracy
Deliver measurable improvements in database performance optimization
The client faced several deep-rooted technical and operational roadblocks:
Severe Query Latency: Transactional queries were taking seconds to minutes, affecting blockchain validations and reporting
Huge Data Volumes: Tables containing trillions of rows made traditional partitioning impractical due to schema limitations
Rising Costs: Licensing, storage, and compute resource costs were growing unsustainably
Complex Schema: Bloated with unnecessary columns and redundant structures
Fragmented Indexing & Stats: Poor indexing strategies and outdated statistics led to suboptimal execution plans
Codinix conducted a deep-dive analysis and identified the following underlying issues:
Redundant and unused columns inflating table sizes
Poorly selected data types causing storage bloat and I/O inefficiencies
Inconsistent and fragmented indexing strategies
Outdated or misconfigured statistics impacting query plans
High logical/physical reads in key stored procedures and queries
The solution stack included a range of cloud-native and database tuning tools:
Enterprise RDBMS supporting blockchain data operations
Custom scripts for async statistics updates
Performance benchmarking tools and query analyzers
Real-time monitoring dashboards
Schema normalization and migration utilities
As part of our Database Optimization Services, Codinix implemented a tailored optimization program to address immediate pain points and deliver long-term performance stability.
1. Schema Optimization & Pruning
We began with a full schema audit, removing redundant columns and streamlining structures. Column pruning helped reduce unnecessary data scans during query execution.
2. Data Type & Size Tuning
Poorly chosen data types were replaced with more appropriate, space-efficient alternatives. This significantly reduced I/O during reads and writes.
3. Index Review & Realignment
We evaluated index usage patterns and eliminated or rebuilt underperforming indexes. Indexes were realigned based on actual query patterns to improve lookup performance.
4. Asynchronous Statistics Update
Automated and asynchronous statistics refreshes were enabled to ensure up-to-date optimizer decisions without impacting production workloads.
5. Query & Procedure Refactoring
We analyzed high-cost procedures and refactored them to use optimized joins, filters, and execution plans—boosting speed and efficiency.
The performance optimization strategy led to transformative outcomes:
50–80% faster query execution times across transactional and reporting workloads
Significant drop in logical reads and CPU consumption
Reduced blocking and contention during peak traffic hours
Table maintenance tasks became 5x faster
Massive storage reduction from 66TB to just 12TB—an 82% savings
These improvements not only stabilized the platform but also paved the way for better cost control, future scalability, and enhanced user experience for blockchain participants.
This case underscores the critical importance of proactive Database Performance Optimization for data-intensive industries like blockchain. By applying expert tuning, schema restructuring, and execution plan analysis, Codinix Technologies delivered measurable performance gains and massive infrastructure savings.
Our client can now process trillions of rows in real-time, with optimized system throughput and reduced overhead. As a leader in Database Optimization Services, Codinix remains committed to unlocking the full potential of data systems through deep, targeted performance engineering.
“Codinix helped us unlock performance at a blockchain scale—cutting storage by 80%, boosting transaction speed, and eliminating the query bottlenecks that were holding us back.”
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