As organizations scale their cloud environments to support data analytics and artificial intelligence, the cost of operating data platforms is rising quickly. What once represented a smaller portion of cloud budgets is now becoming a significant line item, often driven by inefficiencies buried inside queries, pipelines, compute clusters, and storage layers. PointFive is responding to this challenge by expanding its Cloud and AI Efficiency Platform to include Snowflake, Databricks, and BigQuery, extending its optimization capabilities beyond AWS, Azure, and GCP to cover the full cloud and data platform stack.
With this expansion, the company aims to help enterprises uncover waste that often goes unnoticed across complex data environments and redirect those resources toward more strategic initiatives.
Addressing a Growing Cost Center
Data platforms have become essential for modern analytics and AI workloads, but they can also introduce hidden inefficiencies that accumulate over time. According to PointFive, misconfiguration and underutilized resources across these environments represent a significant opportunity for organizations to reduce unnecessary spending.
The platform surfaces more than 400 potential savings opportunities through its DeepWaste™ detection engine. By analyzing cloud infrastructure alongside data platform activity, PointFive highlights areas where resources are underused, misconfigured, or no longer needed.
Teams can then use those insights to reduce waste, reallocate budgets to AI initiatives, or simply bring overall cloud costs under control.
Optimization Across Snowflake, Databricks and BigQuery
The platform now delivers targeted optimization insights for several widely used enterprise data platforms.
In Snowflake environments, PointFive identifies opportunities to right-size warehouses, eliminate pipelines feeding unused tables, and reduce storage bloat created by Time Travel and FailSafe features.
Within Databricks, the system analyzes cluster configurations and scaling behavior to ensure they match actual workload requirements while also identifying unused tables and volumes.
For BigQuery, PointFive detects reservation waste, recommends adjustments to slot commitments, and identifies jobs that are feeding outdated or unused data assets.
These insights focus on inefficiencies that often sit deep within operational data environments, where they can persist unnoticed for long periods.
Turning Insights Into Action
Beyond identifying inefficiencies, PointFive provides tools designed to help teams address them quickly.
The platform offers AI-assisted remediation that generates Infrastructure-as-Code fixes. These fixes run locally and include built-in human approval workflows so that teams remain in control of any changes made to their environments.
Remediation can also integrate with development and collaboration tools such as Cursor and Windsurf, as well as workplace platforms including Slack, Jira, and ServiceNow. Each action is tracked to measurable financial outcomes so organizations can validate the savings created.
Designed With Governance and Security in Mind
PointFive emphasizes a design approach that prioritizes safety and governance. The platform operates in a metadata-only and read-only mode, allowing it to analyze environments without interacting directly with production workloads.
Query text analysis is optional, and metadata collection runs on isolated compute resources to ensure that optimization activity does not impact production systems. Access is handled through dedicated service accounts with strictly read-only permissions.
Intelligence Across the Entire Cloud Environment
The expansion into data platforms is powered by InfraFabric, PointFive’s continuous cloud and infrastructure data fabric. InfraFabric maps cost, usage, telemetry, ownership, and system dependencies into a living representation of the entire environment.
This contextual model allows the platform’s AI assistant, Pointer, to explain savings opportunities in plain language. Instead of sending users to dashboards or requiring technical queries, Pointer can describe which workloads are driving unnecessary spend, who owns them, and what remediation options exist.
AI Co-Workers extend this capability by continuously monitoring environments, surfacing optimization opportunities, and routing actions to the appropriate teams while staying within governance guardrails.
Bringing Continuous Optimization to the Data Layer
As enterprises continue expanding their data and AI capabilities, controlling the cost and efficiency of those platforms will remain a priority. By extending its optimization capabilities to Snowflake, Databricks, and BigQuery, PointFive aims to give organizations a more complete view of where waste exists across their cloud environments and how it can be addressed.
“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.
Organizations interested in exploring how the platform works can book a demo to see how PointFive identifies inefficiencies and helps teams capture savings across cloud infrastructure and data platforms.
