From monolith to modern data core
We turn legacy warehouses into cloud-native, AI-ready platforms for faster insights and real-time analytics.
Why warehouses need an upgrade
They’re fast... until you scale
Gartner predicts by 2026, 80% of traditional DWs will be replaced or augmented by cloud-native, integrated platforms.
Legacy DWs often hit performance and cost ceilings:
- 01
Rigid schemas and batch loads slow insights
- 02
Scaling requires hardware, not configuration
- 03
Separate systems for BI, ML, and data science
- 04
Poor support for semi-structured/unstructured data
- 05
Governance retrofitted—rarely real-time
Our modernization approach
Re-architect. Not just lift-and-shift
Calsoft guides your modernization journey through:
Cloud-native enablement
Scalable, elastic, smart
We enable warehouse modernization across:
Is your warehouse slowing down as you scale?
Real-time, AI-ready
Warehouses built for tomorrow’s workloads
Modernized DWs support:
- Real-time ingestion from IoT, app logs, clickstreams
- On-demand model scoring during queries
- Instant dashboard refreshes
- Direct access from notebooks, BI tools, and APIs
- Time-travel for rollback and audit
Outcomes delivered
It’s not just a tech refresh. It’s business acceleration
| KPI | Legacy DW | Modern DW |
|---|---|---|
| Query latency (complex joins) | 20–40s | ✓ <3s |
| Time to onboard new data source | 2–3 weeks | ✓ 2–3 days |
| Concurrent users supported | <50 | ✓ 500+ |
| Data freshness (availability) | 8–12 hrs | ✓ <15 mins |
| Cost-per-terabyte-per-month | High | ✓ 35–60% lower |
How to start
Break the limits of legacy warehousing
Current state discovery
Inventory data flows, dependencies, costs, and blockers.
Platform & architecture design
Choose cloud-native architecture aligned to growth and AI needs.
Data & pipeline migration
Rebuild or adapt ETL/ELT flows, test for latency and consistency.
Governance & integration layering
Apply access controls, lineage tracking, and audit readiness.
