As organizations scale their AI and analytics workloads, cloud and data platform costs are soaring. Data platform spend is now one of the fastest-growing elements of enterprise cloud bills, yet inefficiencies in pipelines, compute clusters, and storage often remain invisible. PointFive is expanding its Cloud and AI Efficiency Platform to address this challenge, now supporting Snowflake, Databricks, and BigQuery alongside AWS, Azure, and GCP.
The expansion enables enterprises to optimize their full cloud and data environment, uncover hidden waste, and redirect savings toward innovation, AI initiatives, or broader operational efficiency.
Addressing Hidden Costs Across Data Platforms
Modern data platforms are powerful, but their complexity can create significant waste. PointFive’s DeepWaste™ detection engine identifies more than 400 potential savings opportunities across infrastructure and data platforms, ranking them by impact and providing full technical context. This allows teams to focus on the highest-value opportunities without extensive manual investigation or disruptive context switching.
Optimization for Snowflake, Databricks, and BigQuery
PointFive delivers platform-specific insights to help enterprises reduce inefficiencies and optimize spend:
- Snowflake: Right-size warehouses, remove pipelines feeding unused tables, and reduce storage overhead from Time Travel and FailSafe.
- Databricks: Optimize cluster configurations and scaling, and eliminate unused tables and volumes.
- BigQuery: Detect reservation waste, adjust slot commitments, and remove jobs producing outdated or unused data assets.
These optimizations reach deep into query patterns, storage, and compute layers, uncovering inefficiencies that traditional monitoring tools often miss.
Turning Insights Into Action
Identifying waste is only part of the solution. PointFive provides AI-assisted remediation that delivers Infrastructure-as-Code fixes locally, with human approval flows to ensure control.
The platform integrates with existing workflows and tools, including agentic IDEs like Cursor and Windsurf, as well as collaboration platforms such as Slack, Jira, and ServiceNow. Each action is tied to a measurable financial impact, allowing teams to quantify the savings generated.
Secure, Read-Only Design
PointFive operates in a metadata-only, read-only mode, ensuring optimization does not touch production workloads or introduce governance risks. Query text analysis is optional, and metadata collection runs on isolated compute resources. Dedicated service accounts with strictly read-only permissions maintain enterprise control while providing deep insights.
Context-Powered Intelligence Across Your Entire Environment
The platform is powered by InfraFabric, PointFive’s continuous cloud and infrastructure data fabric that maps cost, usage, telemetry, ownership, and system dependencies into a living model of the environment.
This model allows PointFive’s AI assistant, Pointer, to deliver plain-language insights: which workloads drive unnecessary spend, who owns them, and how remediation can resolve the issue. AI Co-Workers continuously monitor environments, surface savings opportunities, and route actions to the right teams, all while staying within governance guardrails.
Continuous Optimization With Measurable Impact
“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.
Enterprises interested in seeing how PointFive can uncover inefficiencies and capture savings across cloud and data platforms can book a demo to explore the platform in action.
