AI creates data pipelines faster than teams can govern them.
Let the agents build. You stay accountable for what ships.
The operational tax your team pays every sprint.
The tooling underneath your Databricks estate never caught up with how fast agents generate the work.
- Pipeline failures become production incidents.
- Compliance posture changes daily. Audit prep still takes weeks.
- Dev to prod is manual YAML and crossed fingers.
- DR plans exist on paper. The drills never happen.
- DBU spend adds up with no way to see what is driving it.
Observe. Diagnose. Fix. Govern.
Four stages, eight modules, all running inside your Databricks tenant.
Observe
Trouble while it is still a warning.
Health scores across every cluster, job, pipeline and AI endpoint, with DBU spend on the same screen.
- Platform InsightsLive estate health across clusters, jobs, pipelines, warehouses and AI endpoints.
- PipelinesDLT health monitoring with AI-powered anomaly detection.
- Cost GovernanceDBU consumption and spend attribution by workspace, SKU, user and resource.
Diagnose
Root cause, with the evidence attached.
Config drift, risky SQL and slipping controls, ranked so you know what to handle first.
- AI DiagnosticsDescription needed
- SQL ReviewSecurity and compliance review of SQL against HIPAA, SOC 2, PCI-DSS and GDPR.
Fix
Ranked options. You authorize.
Every action is version-controlled through Declarative Automation Bundles.
- Bundle StudioConvert assets to bundles, validate with three-stage YAML checking, deploy with zero state drift.
- Bundle Ops and DeployPromote across environments with CLI integration and explicit confirmation.
Govern
Evidence when the auditor asks.
Compliance posture that stays current, DR drills that actually run, and DBU spend with an owner attached.
- ComplianceAudit against SOC 2, HIPAA, PCI-DSS and ISO 27001, with a verdict on every control.
- DR CenterDR plans, drift detection, failover runbooks, and drills that verify RTO and RPO.
Three roles. One view of what is happening.
- CDO and VP of data
Governance that does not become a bottleneck.
Real-time compliance posture and full auditability across every pipeline and agent-generated artifact, without slowing the data teams down.
- Data engineer
Stop babysitting pipelines. Start governing them.
Observe, diagnose and fix failures in minutes with detailed, priority-based recommendations, without leaving Databricks.
- Data architect
Release standards enforced. Logic parity checked.
Enforce release standards, validate every promotion from dev to staging to production, and ensure logic parity across the estate.
Cut security and architecture approval from months to days.
BrickForge runs inside the Databricks tenant you already have, so your InfoSec team reviews a surface they already approved.
Standard enterprise software
BrickForge
- New infrastructure to evaluateRuns inside your Databricks tenant
- Data egress DPA and legal reviewZero egress, no DPA to negotiate
- New vendor trust boundaryInherits your Databricks security posture and IAM
- ARB approval, monthly or quarterlyNo new security surface for architecture to review
- 4 to 8 weeks security review, 2 to 4 months in regulated industriesArchitecture and AI review in days, not months
We govern the environment that processes your data. We never read business data.
Metadata and infrastructure patterns only. Nothing leaves your perimeter. Your Unity Catalog controls apply throughout.
- Zero external infrastructure
- Zero business data contact
- Eight modules, one command center
Ask anything. We answer straight.
Are you a DataOps or ETL tool?
No. We govern the Databricks infrastructure that creates data products. What is inside your tables stays your business.
Doesn't Databricks already do this?
Databricks manages its own platform. BrickForge governs how you operate it: DABs promotion, compliance auditing, DR orchestration, and remediation.
Why do I need this if I already have data observability?
Observability tells you something is wrong with your data. BrickForge tells you which Databricks component caused it, shows the fix, and lets you execute it under version control.
Is the compliance audit good enough for our auditors?
No. It is advisory, not certifying, and does not replace a qualified assessor. What it removes is the fire drill: evidence stays organized and posture stays current.
How do I know the AI won't make mistakes?
Every finding has to cite specific workspace data, so the model cannot invent a pass. When the evidence is not there, BrickForge reports insufficient data.
Does BrickForge track Databricks spend?
Yes. Cost Governance shows real-time DBU consumption by SKU, user, job, pipeline, warehouse, cluster and endpoint, and flags anomalies worth looking at.
See it running on a live Databricks environment.
Thirty minutes with a solutions engineer. Bring a question about compliance, DR, deployment or DBU spend and we will show you the module that handles it.