DataX

Total Visibility OverYour Data Estate

Monitor every service, trace every lineage path, enforce every quality rule — and let AI remediate issues before anyone notices.

11 Capability Areas|Real-time Monitoring|AI Remediation
Explore Data Portal

The Insight

The Data Iceberg

Stakeholders see the tip — polished dashboards, clean reports. But 90% of data risk lurks beneath the surface.

WHAT STAKEHOLDERS SEE
WHAT CAN BREAK
Stale Data Feeding Decisions
Dashboards show yesterday’s numbers while teams make today’s calls.
Broken Lineage, Unknown Impact
A pipeline fails at 2 AM — nobody knows which 12 reports break downstream.
Quality Drift Undetected
Null rates creep from 1% to 15% over weeks with no alert, no audit trail.
Ungoverned Access
Sensitive PII columns exposed to 47 users who never needed them.
Undocumented Business Terms
“Revenue” means three different things across three departments.
Silent Pipeline Failures
Jobs fail silently for days — nobody notices until a board meeting.

DataX surfaces the 90% you can't see. From stale pipelines to ungoverned access, every hidden risk becomes a monitored, traceable, remediable signal.

The Difference

The DataX Difference

From reactive chaos to autonomous control — see what changes when every pipeline, dataset, and access point is actively managed.

Hours to Detect Failures
Pipeline breaks at 2 AM. Nobody knows until the morning standup — 6 hours of stale data feeding live dashboards.
Real-Time Detection in Seconds
Monitoring agents catch the failure instantly, begin root cause analysis, and trigger auto-remediation before anyone wakes up.
Unknown Downstream Impact
A table schema changes and 12 reports break silently. Teams discover the damage days later in a board meeting.
Full Lineage & Impact Analysis
Every upstream and downstream dependency is mapped. When something changes, you see every affected asset instantly.
Manual Quality Spot-Checks
Quarterly audits find null rates that crept from 1% to 15% over weeks. By then, decisions were already made on bad data.
AI Rules Running 24/7
AI-generated validation rules monitor every dataset continuously. Anomalies are caught the moment they appear.
Tribal Knowledge About Data
"Revenue" means three different things across three departments. Only one person knows which join key to use.
Catalogued & Governed Assets
Every asset is documented with certified definitions, owner assignment, and a searchable business glossary.
Reactive Firefighting
Data engineers spend 40% of their time on incident response instead of building. Firefighting is the norm.
Autonomous Remediation
Platform agents detect, diagnose, and fix issues automatically. Engineers focus on building, not firefighting.
Ungoverned Data Access
Sensitive PII columns are exposed to 47 users who never needed them. No audit trail, no access controls.
Contracts, Trails & Workflows
Data contracts enforce SLAs. Audit trails track every access. Request workflows govern who sees what.

How It Works

The DataX Operating Loop

Two interconnected phases — observe your data estate, act on what you find — running continuously, 24/7.

Observe
Observations drive actions
Act
Continuous 24/7 cycle

Not a one-time setup — a continuous cycle that gets smarter with every iteration.

Connect
observe
Step 1 of 8

Integrate data sources across your stack — PostgreSQL, S3/MinIO, Databricks, Kafka — with AI-assisted schema mapping and secure credential management.

Multi-source connectorsAI schema mappingSecure credential vault

The Platform

One Platform, Six Pillars of Data Control

DataX weaves discovery, lineage, quality, governance, semantics, and automation into a single unified fabric.

Discovery & Catalog
Know every asset you own
Bronze / Silver / Gold layer classification
Intelligent discovery from MinIO
Schema introspection & tagging
Owner assignment & search

The Framework

Where Are You on the Data Maturity Curve?

Most organizations operate at Level 1–2. DataX is built to take you all the way to Level 4 — autonomous, self-healing data operations.

Where most organizations are
Where DataX takes you
Level 3: Proactive
Prevention over cure
Automated quality rules
Full lineage tracking
Data contracts enforced
Freshness SLAs in place
DataX Capabilities Unlocked
Data QualityData LineageData FreshnessData ContractsGovernance & Access

In Action

Watch DataX Catch a Real Issue

A data quality incident, detected, traced, assessed, remediated, and resolved — in under a minute, without human intervention.

Detection+0sCRITICAL
Quality Rule Fires
Null rate in policy_claims.amount exceeded 5% threshold — jumped from 2.1% to 18.4% in the latest batch.
Trace+2sTRACING
Lineage Engine Activates
Upstream traversal identifies broken Silver-layer transformation: claims_normalize job failed to cast new schema column.
Impact+8s6 AFFECTED
Downstream Impact Mapped
3 Gold tables, 2 Superset dashboards, and 1 ML feature store identified as affected downstream consumers.
Remediate+15sAUTO-FIX
Platform Agent Triggers
Auto-rollback to last known-good state. Re-runs claims_normalize with corrected schema mapping. Pipeline re-executes.
Resolve+45sRESOLVED
All Clear
Quality validation passes. All downstream tables refreshed. Stakeholders notified. Incident logged with full audit trail.
Detection to resolution in under a minute — zero human intervention

Quantified Impact

Measurable Impact on Data Operations

DataX transforms how your team operates — from reactive firefighting to autonomous, self-healing data infrastructure.

Minutes
Not Days, to Resolution

Incidents that used to take a team 4 hours to diagnose and fix are now detected, traced, and auto-remediated in under a minute.

100%
Pipeline Visibility

Every dataset catalogued, every dependency mapped, every freshness SLA monitored. No more blind spots in your data estate.

Zero
Undetected Quality Drift

AI-generated rules catch anomalies the moment they appear — before they reach a dashboard or a decision.

A Day With DataX
2:47 AMPlatform Agent
Airflow task claims_normalize fails
Monitoring agent detects the failure instantly. Begins autonomous root cause analysis using logs, infrastructure state, and code context.
3:01 AMPlatform Agent
Root cause: upstream schema change
Bronze layer schema changed without contract update. Auto-rollback to last known-good state triggered. Pipeline re-executed successfully.
8:00 AMData Steward
Reviews overnight remediation log
Opens DataX dashboard — all green. Overnight incident was detected, diagnosed, and fixed without any human intervention.
10:30 AMAnalyst
Requests access to customer_segments
Submits governed access request. Approved by data owner via workflow in 5 minutes. Full audit trail logged automatically.
2:00 PMData Engineer
New dataset lands in MinIO
Auto-discovered by DataX. Profiled, classified as Silver-layer, quality rules generated, and catalogued — all within minutes.

Under the Hood

Three Engines. One Autonomous Data Platform.

A unified data portal, AI-powered quality validation, and multi-agent pipeline remediation — connected by an event-driven nervous system.

MinIO
Airflow
Databricks
DATA PORTAL
FastAPI + SQLAlchemy
Catalog & Discovery
Lineage & Impact
Ontology
Semantic Layer
Glossary
Governance
QUALITY AGENT
Great Expectations + Claude
Dataset Discovery
Data Profiler
AI Rule Generator
GX Validation
PLATFORM AGENT
Multi-Agent + Kafka
WatchtowerMonitor
DetectiveRCA
StrategistRecommend
GatekeeperApprove
ExecutorImplement
HistorianLearn
Kafka Event Bus
Shared Infrastructure
PostgreSQL
Kafka
ChromaDB
Great Expectations
Claude / Bedrock
Redis

The Ecosystem

The DecisionOS Ecosystem

DataX is the data control tower — integrating with KnowledgeX for catalog enrichment, SemanticX for the semantic layer, MonitoringX for observability, and ModelsX for ML model data quality.

Your data, governed.Your pipelines, self-healing.

Explore the data portal, set up quality rules, or let AI handle the rest.

Real-time Monitoring
AI Remediation
Full Data Lineage
Enterprise Governance