As enterprises deepen their investment in data analytics and artificial intelligence, the infrastructure powering those workloads is growing rapidly. Data platforms have become essential for storing, processing, and analyzing massive datasets, but they are also emerging as one of the fastest-growing sources of cloud spending. To help organizations manage these costs more effectively, PointFive has expanded its Cloud and AI Efficiency Platform to support Snowflake, Databricks, and BigQuery.
The expansion broadens PointFive’s capabilities beyond AWS, Azure, and GCP, allowing enterprises to optimize not only their cloud infrastructure but also the data platforms that increasingly drive modern AI and analytics workflows.
Bringing Optimization to the Data Layer
Data platforms often contain inefficiencies that are difficult to detect through traditional cost monitoring tools. Oversized compute environments, unused datasets, and outdated pipelines can persist unnoticed while continuing to consume resources.
PointFive’s platform is designed to uncover these inefficiencies and prioritize the most impactful opportunities for cost reduction. Its DeepWaste™ detection engine analyzes environments to surface more than 400 potential savings opportunities across cloud and data infrastructure.
By connecting cloud infrastructure insights with data platform activity, the platform helps teams identify areas where spending can be reduced and resources can be redirected toward higher-value initiatives such as AI development or innovation projects.
Insights Tailored to Major Data Platforms
The latest expansion introduces optimization capabilities specifically designed for several widely used enterprise data platforms.
Within Snowflake environments, PointFive identifies opportunities to right-size warehouses, eliminate pipelines that feed unused tables, and reduce excess storage created by Time Travel and FailSafe features.
In Databricks environments, the platform evaluates cluster configurations and scaling settings to ensure they align with real workload demands while also identifying unused tables and storage volumes.
For BigQuery users, PointFive highlights reservation waste, recommends adjustments to slot commitments, and identifies jobs that continue to populate outdated or unused data assets.
These insights focus on areas of the data stack where inefficiencies can quietly accumulate over time.
Closing the Loop With AI-Assisted Remediation
PointFive’s platform goes beyond simply identifying optimization opportunities. It also provides tools to help teams resolve inefficiencies without complex manual investigation.
The system generates AI-assisted remediation suggestions delivered as Infrastructure-as-Code. These changes can run locally and include human approval workflows to ensure that every action remains under organizational control.
Integration with commonly used tools such as Cursor, Windsurf, Slack, Jira, and ServiceNow allows teams to implement fixes within existing workflows. Each action is tracked against its financial impact so organizations can measure the savings generated.
Designed for Security and Operational Control
Enterprise environments require optimization tools that operate without introducing new risks. PointFive’s platform addresses this requirement by operating in a metadata-only and read-only mode.
The platform analyzes metadata rather than interacting directly with production workloads. Query text analysis is optional, and metadata collection runs on isolated compute resources to ensure there is no impact on live systems. Access is handled through dedicated service accounts with strictly read-only permissions.
Connecting Cloud and Data Platforms Through InfraFabric
The intelligence behind the platform’s optimization capabilities is powered by InfraFabric, PointFive’s cloud and infrastructure data fabric. InfraFabric continuously maps cost, usage, telemetry, ownership, and system dependencies into a unified model of the entire environment.
This model enables PointFive’s AI assistant, Pointer, to explain optimization opportunities in clear language. Instead of navigating dashboards or relying on complex queries, users can quickly see which workloads are driving unnecessary spending, which teams are responsible, and what actions could address the issue.
AI Co-Workers extend this functionality by continuously monitoring environments and routing optimization actions to the appropriate teams within established governance guardrails.
Enabling Continuous Efficiency Across the Stack
As cloud environments grow more complex, managing efficiency across both infrastructure and data platforms is becoming increasingly important for enterprises. PointFive’s expanded capabilities aim to help organizations uncover hidden waste, simplify remediation, and create a more continuous approach to cloud optimization.
“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 the platform’s capabilities can book a demo to see how PointFive identifies inefficiencies and helps teams capture measurable savings across their cloud and data environments.
