Databricks coverage
Understand DBU costs, cluster usage, storage, and serverless compute in Databricks.
Investigate Databricks usage
- Cost visibility
- See every dollar and what's driving it: DBU costs, compute, storage, and serverless.
- Waste detection
- Identify idle clusters, inefficient workloads, and unused storage.
- Remediation tracking
- Send findings to Slack, Jira, Teams, or ServiceNow and track each change through resolution.
Databricks coverage details
| Service or resource | What PointFive analyzes |
|---|---|
| Cluster configuration | Convert all-purpose to job clusters, reduce idle time, optimize autoscale settings. |
| Multi-node workloads | Identify single-threaded workloads running inefficiently on multi-node clusters. |
| Storage usage | Detect unused tables and volumes, excessive Time Travel retention, redundant versioning. |
| Model serving | Rightsizing recommendations for ML model serving endpoints. |
| Serverless cost attribution | Allocate serverless compute costs to specific jobs, queries, and notebooks. |
| Cloud and Databricks usage | Unified Databricks and cloud infrastructure savings that Databricks-only tools can't find. |
Service or resourceCluster configuration
What PointFive analyzesConvert all-purpose to job clusters, reduce idle time, optimize autoscale settings.Service or resourceMulti-node workloads
What PointFive analyzesIdentify single-threaded workloads running inefficiently on multi-node clusters.Service or resourceStorage usage
What PointFive analyzesDetect unused tables and volumes, excessive Time Travel retention, redundant versioning.Service or resourceModel serving
What PointFive analyzesRightsizing recommendations for ML model serving endpoints.Service or resourceServerless cost attribution
What PointFive analyzesAllocate serverless compute costs to specific jobs, queries, and notebooks.Service or resourceCloud and Databricks usage
What PointFive analyzesUnified Databricks and cloud infrastructure savings that Databricks-only tools can't find.
Databricks and the cloud beneath it
Review Databricks alongside your cloud infrastructure. Coordinate S3 lifecycle policies with Delta Lake retention and investigate public internet access where VPC endpoints could be used.
Enterprise-grade security and controls.
Independent audits, clear privacy commitments, and controls that keep your organization in charge. Explore our certifications, security reports, and access safeguards.
Visit our Trust CenterFrequently asked questions
PointFive connects through a pre-configured notebook you run once in your Databricks workspace. It creates a read-only service principal with minimal permissions for discovery. Connect through guided onboarding. Discovery uses read-only access. Automated remediation uses customer-authorized permissions, and each customer chooses how changes are approved: per change, once for a trusted playbook, or not at all.
PointFive optimizes cluster compute (DBUs), serverless compute, storage (Delta Lake, volumes), ML model serving, and the underlying cloud infrastructure. We find savings across every layer.
Databricks provides usage system tables, dashboards, and budgets. PointFive sees both Databricks and the cloud beneath it, finding cross-stack savings like S3 lifecycle coordination with Delta Lake retention that single-vendor tools can't detect.
For discovery, PointFive accesses metadata and usage statistics. Query text analysis is strictly opt-in and can remain disabled. Discovery uses read-only access. Automated remediation uses customer-authorized permissions, and each customer chooses how changes are approved: per change, once for a trusted playbook, or not at all.
Discovery uses read-only access. Automated remediation uses customer-authorized permissions, and each customer chooses how changes are approved: per change, once for a trusted playbook, or not at all. Query text analysis is strictly opt-in. Dedicated service principal, minimal permissions. Metadata collection runs on isolated compute. Data encrypted in transit and at rest. SOC 2 Type II.
