Pricing group
Data Platform
Compare suites and focused products in this commercial category.
Enterprise data infrastructure and document storage
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Enterprise data infrastructure and document storage
Standalone products
Focused product plans for teams that want to start with a narrower capability.
Why this pricing path matters
Data Platform pricing should be understood through the work it helps govern.
It starts with a person trying to get dataservices platform work done without losing context. They need the next action to be clear, but they also need confidence that the platform has checked the risk, evidence, permissions and downstream impact.
What makes it harder in the real world: Dataservices platform work looks straightforward until it crosses people, systems, policies, approvals and customer impact. In practice, the work may require the right customer or employee context, policy checks, data quality, approvals, exception routing, integration updates and a clear audit trail.
What Advanze changes: DataServices Platform turns dataservices platform activity into governed execution by connecting schema, store, search, recovery and governance context to agents, workflow, permissions, approvals and audit evidence before work is completed.
DataServices Platform starts as a single app experience, but the real work usually depends on context from other teams, policies, data and systems.
Advanze treats DataServices Platform as part of a governed execution fabric. The app captures the work, agents gather context, workflow routes approvals and the control model determines what can safely happen next.
DataServices Platform becomes more than a screen. It becomes a reliable path from intent to controlled action, with people still responsible for judgement and the platform carrying evidence.
Control model
Useful AI execution needs pricing, permissions and governance to move together.
DataServices Platform is valuable when it participates in the Advanze control model: identity, permissions, workflow, policy checks, data context, audit evidence and human approval boundaries sit inside the execution path.
- DataServices Platform work needs the right schema, store, search, recovery and governance context before an agent or user can act with confidence.
- The process often crosses handoffs, approvals, exception paths, SLAs and downstream system updates.
- Different actions need different permission levels: read, draft, update, approve, send, pay, create, close or escalate.
- The business needs evidence of what was requested, what was checked, who approved, what changed and why.
