Enterprises are rapidly scaling AI and analytics workloads, yet cloud and data platform costs are escalating faster than many teams can track. “PointFive now brings continuous, context-powered optimization to the platforms where some of the most significant and fastest-growing cloud spend lives. The same intelligence, the same results — across the complete stack,” said Sharon Gross, Vice President of Product at PointFive.
To address this challenge, PointFive has expanded its Cloud and AI Efficiency Platform to support Snowflake, Databricks, and BigQuery, extending its existing coverage of AWS, Azure, and GCP. The move provides organizations with both visibility into hidden inefficiencies and tools to convert insights into actionable, measurable savings. By unifying cloud infrastructure and data platforms into a single system, PointFive helps teams identify waste, prioritize opportunities, and optimize their environments without disrupting ongoing operations.
Tackling Hidden Inefficiencies
Modern data platforms are essential for enterprise AI and analytics, but their complexity can create inefficiencies that quietly inflate costs. Oversized warehouses, unused tables, redundant pipelines, and misaligned compute clusters often persist unnoticed while consuming resources. PointFive’s DeepWaste™ detection engine analyzes both cloud infrastructure and data platform usage to surface over 400 potential savings opportunities, ranking them by impact and providing full technical context.
This approach enables teams to focus on the areas where optimization can generate the highest financial return, helping enterprises reclaim spending that can be reinvested into innovation, AI initiatives, or broader operational priorities.
Platform-Specific Optimization
PointFive delivers targeted optimization insights across major enterprise data platforms:
- Snowflake: Right-size warehouses, remove pipelines feeding unused tables, and reduce storage overhead caused by Time Travel and FailSafe features.
- Databricks: Optimize cluster configurations and scaling to match actual workload requirements, while eliminating unused tables and volumes.
- BigQuery: Detect reservation waste, adjust slot commitments, and remove jobs feeding outdated or unused data assets.
These recommendations reach deep into compute, storage, and pipeline layers, providing visibility that traditional monitoring tools often miss.
From Detection to Action
Identifying inefficiencies is only part of the solution. PointFive provides AI-assisted, agentic workflows to remediate waste efficiently. Suggested fixes are delivered as Infrastructure-as-Code, run locally, and include human approval workflows to ensure full control.
Integration with tools such as Cursor, Windsurf, Slack, Jira, and ServiceNow allows teams to implement remediation within existing workflows. Every action is tied to measurable financial impact, giving organizations clear visibility into the savings achieved.
Security and Governance at the Core
PointFive is metadata-only and read-only by design, ensuring optimization can occur without impacting production workloads or introducing governance risk. Query text analysis is optional, and metadata collection runs on isolated compute resources. Dedicated service accounts operate with strictly read-only permissions, preserving enterprise control while enabling comprehensive insights.
Intelligence Across the Full Environment
The platform’s expansion is powered by InfraFabric, PointFive’s continuous cloud and infrastructure data fabric. InfraFabric maps cost, usage, telemetry, ownership, and system dependencies into a living model of the environment.
This contextual model allows PointFive’s AI assistant, Pointer, to provide plain-language answers about savings opportunities, identifying which workloads are driving unnecessary spend, which teams own them, the savings potential, and what remediation steps are recommended. AI Co-Workers extend this capability by continuously monitoring environments, surfacing opportunities, and routing actions automatically within governance guardrails.
Continuous Optimization With Measurable Results
By extending optimization to Snowflake, Databricks, and BigQuery, PointFive enables organizations to make efficiency a continuous practice across the full cloud and data stack. Enterprises can uncover hidden waste, streamline remediation, and reclaim resources to reinvest in AI, innovation, or strategic initiatives.
Organizations interested in exploring the platform’s capabilities can book a demo to see PointFive in action.
