Data Engineering
Pipelines, integrations, automation
Data Lake Consulting
Production-ready medallion lakehouses
Data Warehouse Consulting
Modern EDW design and migrations
Data Integration
M&A, MDM, and cross-system workflows
AI as a Service
Production-grade AI on enterprise data
Generative AI Consulting
RAG, fine-tuning, agent architectures
AI Agent Development
Custom agents with safety guardrails
AI Consulting
Strategy, evaluation, productionization
Strategic partnerships
Algoscale delivers across the platforms your data already runs on.
AWS 
Azure 
Snowflake 
Databricks BI in Healthcare
Insights for clinical and operational outcomes
Healthcare Software Development
HIPAA-compliant systems and apps
BI in Financial Services
Risk, fraud, and regulatory analytics
Financial Software Development
Trading, custody, and compliance systems
BI in Retail
Personalization, inventory, and pricing analytics
Retail Software Development
Multi-banner, multi-channel platforms
Microsoft Fabric for Manufacturing
Role-specific KPIs, RBAC, and Fabric from plant floor to boardroom
Big Data in Manufacturing
Plant floor + ERP + quality unified
Generative AI in Manufacturing
AI agents on the production line
Microsoft Fabric for Logistics & Transportation
TMS + WMS + ELD unified, RBAC from driver to exec
Data Integration for TMS / WMS / EDI
Carrier EDI, fuel cards, and ELD feeds wired to one warehouse
Strategic partnerships
Algoscale delivers across the platforms your data already runs on.
AWS Azure Snowflake Databricks Algoscale AI agents
Strategic partnerships
Algoscale delivers across the platforms your data already runs on.
AWS Azure Snowflake Databricks Technology
2 articles on iceberg.
Data lake cost optimization comes down to three levers: partition pruning, file compaction, lifecycle tiering. How to tune each one in production.
After years of open table format wars, the 2026 picture is clear: Iceberg has won, but the catalog choice is now where vendor lock-in lives.
Pick your starting point
No sales calls required to get real answers. Both tools return dedicated output in under 5 minutes.
Data maturity · 4 min
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Engagement estimate · 2 min
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