\n Product — Data & Analytics

Data Fabric
Unified Intelligence Layer

Break down data silos across your entire organization. CloudNexus Data Fabric creates a unified, intelligent data architecture that automatically discovers, catalogs, governs, and serves your data — wherever it lives.

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Connections
200+ Sources
Latency
Real-Time
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Compliance
SOC2 · GDPR · HIPAA
📊
Scale
Petabyte Ready

One Fabric for All Your Data

Data Fabric is an architectural approach that uses semantic models, automation, and federated governance to create a unified data experience across hybrid, multi-cloud environments. It eliminates the complexity of managing data across disparate systems.

Instead of building point-to-point integrations, Data Fabric creates an intelligent metadata-driven layer that understands your data's context, quality, and relationships — enabling instant access regardless of where it's stored.

Active Metadata — AI-powered metadata that understands data lineage, context, and quality in real-time
Federated Governance — Centralized policies enforced consistently across all data sources and environments
Automated Integration — Zero-code connectors that auto-discover schemas and map transformations
Virtual Data Access — Query across sources without moving or duplicating data
Data Fabric Architecture Layers
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Data Consumers
BI Tools, ML Pipelines, Applications, APIs
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Governance & Security
Access Control, Masking, Audit, Compliance
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Data Fabric Core
Metadata Engine, AI/ML, Virtualization, Orchestration
⚙️
Processing Layer
ETL/ELT, Streaming, Transformations, Quality
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Data Sources
Databases, Data Lakes, APIs, SaaS, IoT

Intelligent Data at Every Layer

From discovery to consumption, our Data Fabric handles the complexity so your team can focus on insights.

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Automated Data Discovery

AI scans all connected sources to automatically catalog datasets, infer schemas, detect PII, and build a searchable data knowledge graph.

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End-to-End Lineage

Track data from origin to consumption with visual lineage maps. Understand impact, debug issues, and ensure compliance with full traceability.

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Data Virtualization

Access and federate queries across databases, warehouses, and data lakes without moving data. Single logical view, zero duplication.

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AI-Driven Curation

Machine learning models auto-tag data, suggest relationships, recommend quality rules, and prioritize data assets by business value.

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Federated Governance

Define policies once, enforce everywhere. Role-based access, dynamic masking, tokenization, and automated compliance across all environments.

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Quality & Observability

Continuous data quality monitoring with anomaly detection, freshness alerts, and SLA tracking. Know your data health at a glance.

How Data Fabric Works

A unified intelligent layer that connects, processes, and governs your data across any environment.

Data Flow Architecture
Data Sources
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RDBMS
PostgreSQL, MySQL
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Data Lake
S3, ADLS, GCS
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SaaS APIs
Salesforce, HubSpot
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Streaming
Kafka, Kinesis
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NoSQL
Mongo, Redis
Data Fabric Engine
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Metadata
Catalog
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Fabric Core
AI Engine
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Virtualization
Query Layer
🛡️
Governance
Security
Data Consumers
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BI & Analytics
Tableau, Looker
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ML / AI
Training Pipelines
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Applications
REST / GraphQL
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Data Products
Internal APIs

Built for Real-World Scenarios

See how organizations leverage Data Fabric to solve their most complex data challenges.

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Unified Customer 360

Consolidate customer data across CRM, support, billing, and behavioral platforms into a single trusted view. Enable personalized experiences and reduce customer churn.

Customer Data Identity Resolution Real-Time
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Regulatory Compliance

Automatically detect PII, enforce data retention policies, and generate audit trails. Meet GDPR, CCPA, HIPAA, and SOX requirements without manual overhead.

GDPR Data Masking Audit Trails
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Industrial IoT Analytics

Ingest and correlate millions of sensor data points with operational data. Detect anomalies, predict failures, and optimize production in real-time.

IoT Time-Series Anomaly Detection
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M&A Data Integration

Rapidly integrate acquired company data systems with automated schema mapping, quality validation, and governed access during merger transitions.

Schema Mapping Data Migration Governance

Connect Your Entire Stack

Data Fabric integrates with your existing tools — no rip-and-replace required.

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Data Warehouses

Snowflake, BigQuery, Redshift, Databricks

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Data Lakes

S3, Azure Blob, GCS, Delta Lake

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BI & Visualization

Tableau, Power BI, Looker, Metabase

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Streaming Platforms

Kafka, Kinesis, Pulsar, RabbitMQ

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ML & AI Platforms

TensorFlow, PyTorch, MLflow, SageMaker

🏗️ Data Warehouse Integration

Connect to any major data warehouse and get automatic schema discovery, query optimization, and seamless federated queries across warehouse boundaries. No data movement required.

Native JDBC/ODBC
Schema Auto-Discovery
Query Pushdown
Federated Queries
Incremental Sync
Cost Optimization
Lineage Tracking
Access Proxying

Data Fabric Pricing

Pay for what you use. Scale seamlessly as your data grows.

Starter
Data Explorer
For teams exploring unified data access
$ 299 /mo
Up to 50 data sources
50 Connected Sources
Automated Discovery
Basic Lineage
Data Catalog
5 Team Members
Community Support
Start Free Trial
Enterprise
Data Enterprise
Custom solutions for large organizations
Custom
Tailored to your organization
Everything in Professional
VPC Deployment
Custom Integrations
Dedicated Support
SLA Guarantee
Training & Onboarding
Unlimited Members
Contact Sales

Frequently Asked Questions

Common questions about CloudNexus Data Fabric.

How does Data Fabric differ from a data lake or data warehouse?

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Unlike a data lake or warehouse that stores data in one place, Data Fabric is an architecture layer that sits across your existing data infrastructure. It doesn't replace your warehouses or lakes — it connects and governs them. You can query across all your data sources without moving or duplicating data, using virtualization and active metadata to create a unified view.

Do I need to migrate my data to use Data Fabric?

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No. Data Fabric is designed to work with your data wherever it lives — on-premise, in any cloud, or hybrid. Our connectors integrate with 200+ sources including databases, data lakes, SaaS platforms, and streaming systems. You get unified access without any data migration.

How does the AI-powered curation work?

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Our AI engine continuously analyzes metadata, query patterns, and data content to automatically classify datasets, suggest business glossary terms, detect relationships between data sources, identify quality issues, and recommend governance policies. It learns from your team's usage patterns over time, becoming more accurate with use.

Is Data Fabric suitable for real-time streaming data?

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Yes. Data Fabric integrates with Apache Kafka, Amazon Kinesis, and other streaming platforms. Our virtualization layer can federate queries across batch and streaming sources, enabling real-time analytics that combine historical data with live streams. Quality monitoring and governance policies apply to streaming data as well.

What compliance standards does Data Fabric support?

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Data Fabric supports GDPR, CCPA, HIPAA, SOX, PCI-DSS, and other major compliance frameworks. Our governance features include automated PII detection, dynamic data masking, tokenization, retention policy enforcement, and comprehensive audit logging. All data processing is SOC2 Type II certified.

Can I deploy Data Fabric in my own VPC?

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Yes, our Enterprise plan supports VPC deployment on AWS, Azure, and GCP. The Data Fabric control plane runs in your network with optional SaaS management. This ensures your data never leaves your environment while still providing all the benefits of our platform. Air-gapped deployments are also available.

Ready to Unify Your Data?

Start your free 14-day trial. No credit card required. Connect your first data source in under 5 minutes.