The data infrastructure playbook has changed—but most mid-tier funds are still following the old one.
The old playbook:
Consolidate everything into one massive data warehouse. Migrate all your data. Build custom ETL pipelines. Maintain it forever.
Cost: $2M+ and 12-18 months.
Result: A fragile monolith that breaks when vendors change formats.
The new playbook:
Data fabric architecture. Leave data where it lives. Create a unified query layer on top.
What this enables:
✓ Query market data, alt data, and proprietary signals through one interface
✓ No migration, no vendor lock-in
✓ Deploy in weeks, not years
✓ Add new data sources without rebuilding pipelines
Mid-tier quantitative funds ($500M-$5B AUM) don't need the mega-fund approach. They need the modern approach.
The firms making this shift are cutting data provisioning from 3 weeks to just days. Without the consolidation cost or maintenance burden.
CloudQuant Data Liberator is designed for this new playbook.
Data Liberator sits on top of your existing infrastructure as a data fabric control plane—connecting to databases, cloud storage, live streams, and proprietary systems without requiring migration or consolidation. Here’s what that means in practice:
- LLM and AI-agent ready: Expose your data fabric as a context source for large language models and AI agents — enabling natural language queries, automated research workflows, and real-time signal generation without moving data or rebuilding pipelines.
- Zero-copy data access: Query market data, alternative datasets, news sentiment, and proprietary signals through a single interface — without ever moving data out of the systems where it already lives.
- Deploy in weeks, not years: Liberator overlays your existing infrastructure, eliminating the 12–18 months of internal development typically required to build a comparable access layer.
- Accurate backtesting, built in: A fully maintained point-in-time database ensures no look-ahead bias across all connected data sources — no manual reconstruction required.
- Storage-agnostic and vendor-neutral: Works with virtually any storage backend — cloud, on-prem, or hybrid — so you can swap or add sources without touching your research code.
- Eliminate 80% of custom ETL: One integration layer reaches into all your existing data sources, freeing your engineering team to focus on alpha-generating work instead of pipeline maintenance.
See how CloudQuant solves data access challenges with a 20-minute demo. Contact us.