Late loads
A run finishes after the reports have already refreshed. Yesterday's numbers look like today's.
AI-native data reliability platform
Data the business can rely on. Every load, every report.
Unityze checks data as it arrives, shows what each issue affects and who owns it, and tracks it through to resolution. Your team hears about problems first, not your stakeholders.
- Runs inside your cloud
- Works alongside your pipelines
- Unlimited users
- Overnight load landed · 48,210 rows
Unified.
One view across every team
Every data team's work side by side, while each team keeps working its own way.
Simplified.
Checks to tickets, in one place
Quality checks, lineage, alerts and tickets in one place, running alongside existing pipelines. No tools to stitch together.
Amplified.
Answers in plain English
Ask Unityze answers questions about your platform, with sources. Analytics Studio answers business questions and turns them into dashboards.
The problem
The issues no one sees, until someone goes looking.
Most go unnoticed until someone checks by hand: running queries, comparing counts, chasing other teams. Or until a stakeholder finds them first.
Empty columns
A column arrives empty, and every report built on it is quietly wrong.
Values that drift
Numbers move overnight in ways nobody expected, and nobody is told.
Unityze checks every load as it arrives and puts what it finds in front of the right owner. No digging required.
How it works
Caught as the data arrives. Sorted before the day starts.
One overnight load, start to finish. This is what happens when a column arrives empty.
- Step 1
Data arrives
Checks run at the point data enters your systems, not just after it lands.
fin.revenue_daily · 02:10 loadChecking- Row count in expected range 48,210
- Schema unchanged
- Arrived on schedule
- region_code not null
- Step 2
Issue caught
Late, missing or unusual data is flagged immediately, and bad rows are held back.
Quality check failedIssueColumn
region_codearrived empty: 0 of 48,210 rows filled.Bad rows quarantined - Step 3
Owner alerted
With what went wrong, which reports it affects and who owns them.
Finance – Revenue Daily3 reports affected- Affects
- Revenue by Region · Daily Sales Summary · Board KPI Pack
- Owner
- Finance Data team
- Ticket
- #1182 opened automatically and assigned
- Step 4
Sorted
Tracked through to resolution, before the business starts its day.
#1182 · region_code empty Resolved- Opened from alert
- Assigned to Finance Data team
- Resolved · 3 linked checks closed with it
Illustrative example with sample data.
What changes
Same overnight issue. A very different morning.
| Task | Without one connected place | With Unityze |
|---|---|---|
| Who spots the issue | A stakeholder, in a report | A check, as the data arrives |
| Working out the impact | Tracing it by hand, across tools | Lineage shows every affected report |
| Finding the owner | Asking around other teams | The owner is named on the alert |
| Following it up | Chat threads and memory | A ticket, tracked to resolution |
| Getting answers | A request in someone's queue | Ask Unityze in plain English |
Capabilities
The foundation data teams build on, in one connected view.
Quality checks, catalog, lineage, monitoring, alerts and issue tracking usually sit in separate tools, or are pieced together by the team. In Unityze, they work as one.
Data quality
Checks at the point data enters, not just after it lands. Bad data is quarantined automatically.
Lineage
See exactly what an issue affects downstream, from source to report.
Catalog
Every dataset, its owner, and whether it's healthy right now.
Monitoring
Late runs, missing data and unusual values flagged automatically.
Alerts & Board
Alerts become tickets, linked and tracked to resolution.
Runbooks & Reports
Documentation and project reports, scheduled or on demand.
Data Products
Package data for teams to use, safely, with health and access built in.
Illustrative examples with sample data.
How it fits
Works alongside your pipelines, from source to report.
Unityze works alongside the data platform already in place. Nothing to migrate, nothing to rebuild.
Deployed in your cloud accountInterface included · No outbound traffic
Your data pipelines
- Raw sources
- Ingestion
- Lakehouse
Checked and observed as data moves
Unityze
Ask UnityzePlain-English answers across everything below
FoundationQuality checks on arrival · Monitoring · Catalog · Lineage
ProjectsThe end-to-end pipeline, organized by what each data team delivers
Data ProductsCurated data for teams, with health and access built in
BoardAlerts to tickets, tracked to resolution
Analytics StudioQuestions in plain English, turned into dashboards
Where data is used
- Dashboards & reports
- Analysts & business users
- Applications
Traced back through lineage
Built around how teams work
Each team works its way. Everyone sees how it fits together.
Teams own their data for good reasons, and that doesn't change. Teams can see what their work depends on (which data feeds them, whether it's healthy and who owns it) without chasing other teams for answers.
- Each team keeps its ownership
- Work organized around what each team delivers
- Upstream health and owners visible to everyone
Ingestion · Core SourcesHealthy
Finance · Revenue Daily1 open issue
Sales · Regional ReportingYour project
Illustrative view with sample data.
AI assistant
Ask Unityze.
Ask in plain English and get answers from your own platform data. No query to write, no ticket to raise.
- Answers with sources: every answer points to the rule, alert or table it came from.
- Runbooks written for you, generated from your rules, monitoring and catalog.
Ask UnityzeAnswers from your platform data
What broke last night? One issue: Finance – Revenue Daily loaded with an empty region_code column at 02:10. It feeds 3 reports. The Finance Data team owns it and a ticket is open. Sources: Rule: region_code not null, Alert #1182, Table: fin.revenue_daily.
Try asking
Illustrative answers with sample data.
Security
Runs entirely inside your cloud.
Unityze is deployed in your own cloud account, including the interface. Nothing leaves your environment: not your data, not your metadata, not even status signals.
- Deployed in your cloud account
- No outbound traffic
- Single sign-on and role-based access
- Unlimited users
Your cloud account
Your data platformSources · Pipelines · Lakehouse
UnityzeInterface included
Your users sign in with your SSO
No. Unityze works alongside the data platform you already have. Your pipelines, tables and jobs stay where they are. There is nothing to migrate and nothing to rebuild.
Inside your own cloud account, including the interface. There is one deployment per cloud account.
No. Unityze makes no outbound calls to us. That includes health checks and status pings.
No. Each team keeps ownership of its data and keeps working the way it does today. Projects groups each team's work around what it delivers, and everyone gets one view of how it all fits together.
Users sign in with your single sign-on provider. They belong to groups (Admin, Developer, Analyst, Business), and each group gets View, Edit or Manage access. There is no limit on the number of users.
From your platform's own metadata: rules, alerts, catalog and lineage. Every answer points to the rule, alert or table it came from.
Pick one data flow that matters to you, and we'll show you what Unityze sees in it. Expand from there when you're ready.
Start with one data flow. Grow from there.
Pick one data flow that matters to you, and we'll show you what Unityze sees.
- Runs inside your cloud
- Nothing to migrate
- Unlimited users