Cut Snowflake & Databricks bills without losing speed
Data warehouse costs grow faster than value when warehouses run oversized, queries scan full tables, and nobody owns the budget. We find the waste and fix queries, clusters, and architecture — not just recommend shutdowns.
Talk to an ExpertAlgofy audits Snowflake and Databricks environments for credit waste, oversized warehouses, unoptimized queries, and storage bloat. We implement rightsizing, auto-suspend policies, query rewrites, materialized views, and tiered storage that reduce spend while maintaining or improving query performance.
AWS Partner Program Benefits
As an official AWS Partner and North American distributor, we extend partner-only advantages to qualified customers.
- Free POC for selected projects — Qualified engagements can receive a proof-of-concept built at no charge when you partner with us on AWS — we invest upfront so you validate before you commit.
- Access to AWS partner funds — We tap AWS partner funding programs and credits to offset migration, modernization, and AI workload costs that direct customers cannot access on their own.
- Official AWS distributor · North America — Algofy is an authorized AWS distributor in North America, enabling discounted AWS resources and consolidated billing support for enterprise teams.
- Discounted AWS resources — Beyond standard pay-as-you-go pricing, eligible customers receive partner-level discounts on AWS consumption through our distributor relationship.
Built for enterprise outcomes
Immediate credit savings
Identify auto-suspend gaps, oversized warehouses, idle clusters, and dev environments running 24/7 that inflate monthly credit consumption.
Query-level optimization
Rewrite expensive queries, add clustering keys, create materialized views, and eliminate full-table scans that burn credits on every run.
Storage cost reduction
Implement time travel retention limits, fail-safe policies, and tiered storage strategies that cut storage costs without losing recoverability.
Sustained cost governance
Resource monitors, budget alerts, and query tagging that give data teams visibility into who spends what — preventing cost creep after optimization.
Our proven process
Cost baseline analysis
Pull billing data, warehouse utilization metrics, top expensive queries, and storage growth trends to quantify waste and optimization potential.
Waste identification
Flag idle warehouses, oversized clusters, unoptimized queries, excessive time travel retention, and workloads that should move to smaller tiers.
Quick-win remediation
Configure auto-suspend, resize warehouses, set resource monitors, and fix the top 10 most expensive queries for savings in the first billing cycle.
Structural optimization
Implement materialized views, clustering keys, query result caching, and workload isolation that reduce recurring credit consumption.
Governance & monitoring
Deploy cost dashboards, budget alerts, and tagging standards so data teams maintain control over ongoing spend.
What you receive
Data platform cost assessment
Optimized warehouse & cluster configuration
Query optimization report
Storage tiering implementation
Cost monitoring dashboard & alerts
Common questions
How much can we save on Snowflake or Databricks?
Most organizations we assess overpay by 30–50% on data platform costs. Quick wins from auto-suspend and warehouse rightsizing often appear in the first month; query optimization and structural changes compound over subsequent billing cycles.
Will cost optimization slow down our queries?
No — proper optimization often improves performance. Rightsizing eliminates oversized warehouses that waste credits without speed benefits, while materialized views and clustering keys make queries faster and cheaper.
Do you optimize both Snowflake and Databricks?
Yes. We audit and optimize both platforms — warehouse sizing and query tuning for Snowflake, cluster configuration and job optimization for Databricks. Many enterprises run both and benefit from unified cost governance.
Ready to get started?
Talk with our AWS and Google Cloud partner team about your reduce snowflake costs goals. Qualified AWS engagements may include a free POC, partner funding, and discounted resources.
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