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CNET Global | Migrate, Optimize, and Future-Proof Your Data Infrastructure
Outdated systems slow innovation with rigid schemas, costly licenses, and manual tuning. CNET Global’s Database Modernization Services transform legacy databases (Oracle, SQL Server, DB2) into agile, cloud-native engines – boosting performance, slashing costs, and enabling AI-driven analytics.
slower query performance vs. cloud-native databases (Forrester).
wasted on overprovisioned legacy hardware and licenses.
of breaches exploit unpatched legacy database vulnerabilities.
Identify performance bottlenecks, compliance gaps, and high-risk tables.
Choose rehost, refactor, or rebuild strategies.
Cloud-native vs. on-premises costs over 3-5 years.
Convert monolithic schemas to distributed models (sharding, partitioning).
a. Relational: Migrate to AWS Aurora, Azure SQL Managed Instance, or Google Cloud SQL.
b. NoSQL: Shift to DynamoDB, Cosmos DB, or MongoDB Atlas.
c. Data Warehouse: Modernize to Snowflake, Redshift, or BigQuery.
Scripted schema conversions, zero-downtime migrations, and data validation.
Auto-scaling with AWS Aurora Serverless or Azure SQL Hyperscale.
Boost performance 10X with Redis or Amazon ElastiCache.
Leverage machine learning for query optimization (e.g., Oracle Autonomous DB).
Right-size databases per workload (time-series, graph, document).
Cross-region replication and point-in-time recovery.
Encryption, IAM roles, and automated patching.
Track latency, throughput, and cost per query.
Step-by-step plan with rollback strategies.
Capex vs. Opex savings forecast.
GDPR, HIPAA, or PCI-DSS compliance checklists.
Pre/post-migration latency and throughput metrics.
Optimized indexes and in-memory caching.
Replace legacy licenses with pay-as-you-go pricing.
Handle 100X traffic spikes without manual tuning.
Automated audits and immutable backups.
FinTech Cuts Transaction Latency by 85%
An aging Oracle system caused 15-second transaction delays during peak trades.
1. Migrated to a distributed PostgreSQL cluster on AWS.
2. Implemented Redis caching for real-time analytics.
3. Automated failover with AWS Aurora Global Database.
1. 85% lower latency.
2. $950K saved annually.
3. 99.999% uptime.
Optimize for open-source, cloud-native, or hybrid systems.
AWS/Azure/ GCP Database Specialists and Oracle ACEs.
Guaranteed data integrity and rollback plans.
Embed vector databases for LLM apps or predictive analytics.
Migrate traditional databases to cloud-native SQL/NoSQL.
Shift from batch ETL to streaming with Kafka and TimescaleDB.
Multi-region deployments with single-digit millisecond latency.
8–16 weeks for a minimum viable cloud-native rebuild; 6+ months for full enterprise modernization.
Yes! We design hybrid architectures (e.g., AWS + on-prem Kubernetes) for phased transitions.
We provide 90 days of post-migration support, including performance tuning, query optimization, and team training. Optional SLA-backed managed services are available for ongoing monitoring and upgrades.
Get a Migration Feasibility Report and Cost Savings Estimate in 14 Days.
