SneaQL Workflow Modernization

ELT Workflow Modernization

Data Engineering

SneaQL Workflow Modernization


If you rely heavily on proprietary SQL, stored procedures, or server‑side code, our SQL workflow modernization approach bridges the gap to take full advantage of modern warehouses and lakehouse platforms.

Business Challenge

Modern analytic platforms (columnar and cloud‑native) excel at performance and scale, but they don’t execute proprietary stored procedures. Without a path to convert procedural logic to standard SQL workflows, migrations stall and benefits are lost.

Business Solution

Omni Arcs applies a SQL workflow modernization approach (heritage from SneaQL) to manage and execute SQL across platforms with conditional steps, variables, and CI integration. We convert PL/SQL and T‑SQL logic into portable, ANSI‑compliant SQL patterns applicable to modern warehouses and lakehouse engines. DB teams retain SQL as the common language while gaining platform flexibility.

Customer Outcomes

  • Improved Overall DB Performance
  • Production Continuity
  • Lower TCO
  • Performance Roadmap

Timelines & Costs

We typically produce an optimized design and run tests to completion in ~2 months for a single schema. Durations vary by data volume and validation needs.

Customers We Serve

Teams heavily invested in PL/SQL or T‑SQL stored procedures; application‑specific data warehouses and BI platforms; organizations seeking performance, portability, and lower TCO.

Raleigh ▪️ Bogotá

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