Snowflake OptimizationComplete visibility into Snowflake credits, warehouse efficiency, storage costs, and query patterns. Find waste others miss and prove the savings.
See every credit and what's driving it, warehouse compute, storage, serverless features, and data transfer.
DeepWaste™ uncovers what others miss, from warehouse auto-suspend gaps to Time Travel waste.
Findings flow to where engineers work, with tracking to prove what was fixed.
Auto-suspend tuning, warehouse sizing, multi-cluster configuration, and idle warehouse detection.
Expensive query patterns, full table scans, inefficient joins, and repeated query identification.
Unused tables, excessive Time Travel retention, clone cleanup, and data sharing cost analysis.
Identify warehouses with suboptimal suspend settings burning credits during idle periods.
Allocate Snowflake credit consumption to teams, projects, and workloads for accountability.
Unified Snowflake and cloud infrastructure savings that Snowflake-only tools can't find.
PointFive sees your Snowflake environment and the cloud infrastructure beneath it, coordinating S3/Blob storage policies with Snowflake data retention, detecting network path inefficiencies, and finding savings at the intersection of your data warehouse and cloud that no single-vendor tool ever could.
Connect through guided onboarding using agentless discovery integrations.
Continuously monitors and acts on your environment with intelligent automation.
Full coverage across cloud, PaaS, data & AI. No blind spots, no missed savings.
Engineers fix issues in the tools they already use: Slack, Jira, Teams, ServiceNow.
For discovery, PointFive uses a read-only Snowflake user with minimal privileges to access metadata and usage statistics. Connect through guided onboarding. Discovery uses read-only access. Automated remediation requires customer-authorized permissions and approval before infrastructure changes are executed.
PointFive optimizes warehouse compute credits, storage costs, serverless feature usage, Time Travel retention, and data transfer costs. We identify both quick wins and deep architectural optimizations.
Snowflake's Resource Monitor shows usage limits. PointFive goes deeper with DeepWaste™ detection, finding warehouse auto-suspend gaps, query pattern waste, and cross-stack optimization between Snowflake and your cloud infrastructure.
Query text analysis is strictly opt-in. By default, PointFive only analyzes query metadata (duration, credits, warehouse) for optimization recommendations without accessing query content.