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Zero Data Movement Architecture

Analytics execute at the source - data never moves

Traditional data sharing requires copying and moving massive datasets. Zero data movement keeps data secure at the source while still enabling powerful analytics through intelligent query federation.

Zero
Data Copies
100%
Source Control
Real-time
Execution
10 min read
Technical Concepts
Overview

What is Zero Data Movement?

Zero data movement means analytics execute directly against data at its source. Instead of copying datasets to a central location for processing, queries are federated to where the data lives. Only the computed results move - never the raw data.

Key Points

Data stays in the source system (data warehouse, database)

Queries execute at the source via secure connections

Only processed results are returned

No data copying, no data lakes, no ETL

Source maintains complete control and security

Why It Matters

Why Zero Data Movement Matters

Security, compliance, and performance benefits

Security & Privacy

Every data copy is a potential breach point. By keeping data at the source with zero movement, you eliminate duplicate storage vulnerabilities and maintain single-point security controls.

Compliance Simplified

Data movement creates complex regulatory obligations. Zero movement means data never leaves the jurisdiction or control boundaries, dramatically simplifying GDPR, CCPA, and industry compliance.

Always Fresh Data

Copied data is immediately stale. Zero movement means queries execute against current production data, ensuring insights are always accurate and timely.

Eliminated Infrastructure

No data movement means no data lakes, no duplicate storage, no ETL pipelines, no sync jobs. Massive reduction in infrastructure complexity and cost.

How It Works

How Zero Data Movement Works

Query federation and secure execution

1
1

Consumer Makes API Request

User or application calls the analytics API endpoint with parameters (e.g., 'Get player stats for last 30 days').

Key Points:

HTTPS request to API endpoint
Authentication and authorization
Query parameters validated
Rate limits and quotas checked
2
2

Query Executes at Source

The API translates the request into SQL and executes it directly against the provider's data warehouse.

Key Points:

Request translated to SQL query
Query executed on source database
Results computed in real-time
No data copying or movement
3
3

Results Returned

Only the computed analytics are returned to the consumer - raw data never leaves the source system.

Key Points:

Processed results formatted as JSON
Results cached briefly for performance
Usage logged for billing
Source data remains secure

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Key Benefits

Key Benefits

Zero

Security Vulnerabilities

No data copies means no additional breach points or attack surface

100%

Source Control

Data owner maintains complete custody and control at all times

Real-time

Data Freshness

Every query executes against current production data

90%

Lower Infrastructure

Eliminate data lakes, ETL pipelines, and duplicate storage

FAQs

Common Questions

Doesn't zero movement mean slower performance?

Not with modern architectures. Queries execute on optimized data warehouses with intelligent caching. For most use cases, real-time execution is faster than maintaining synchronized copies.

What if the source is unavailable?

API SLAs typically include uptime guarantees. Providers can also implement caching layers for high-frequency queries while maintaining zero movement for actual data updates.

Can I still do complex analysis without moving data?

Yes - modern analytics APIs can execute complex aggregations, joins, and calculations at the source. For extremely complex ML workflows, you might need raw data, but 80% of use cases work perfectly with zero movement.

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