OPUS Infiniti ETL — Enterprise Data Migration Platform

Platform Features

Everything you need to move data at scale

7 fully implemented phases covering every aspect of enterprise data migration

Phase 1: Advanced Data Extraction

Extract data from any source with parallel processing, Change Data Capture (CDC), and incremental sync — all with automatic checkpointing and resumption.

✓ Parallel Extraction — 3–4× faster with multi-threaded workers
✓ Change Data Capture (CDC) — 10–20× faster incremental updates via SQL Server CDC, PostgreSQL WAL, MySQL binlog
✓ Incremental Sync — timestamp, sequence, or CDC-based delta extraction
✓ 18+ Connectors — SAP, Oracle, MSSQL, MySQL, PostgreSQL, Snowflake, BigQuery, S3, REST API, CSV/JSON
✓ Schema Auto-Detection — automatic field type inference
✓ Extraction Checkpointing — resume from any failure point

1,000–5,000 rec/s sequential 4,000–20,000 rec/s parallel

extraction-config.json

{
  "source": {
    "type": "mssql",
    "host": "sap-erp.internal",
    "database": "SAPDB"
  },
  "extraction": {
    "strategy": "parallel",
    "workers": 4,
    "batchSize": 5000,
    "cdcMode": "timestamp",
    "checkpoint": true
  }
}

Phase 2: Transformation & Loading

A full rules engine with 30+ built-in functions, ML-powered transformations, batch operations, and multi-target fan-out loading.

✓ Rules Engine — 6 rule types, 14 operators (IF/THEN, CASE, LOOKUP, CALCULATION)
✓ 30+ Built-in Functions — string, numeric, date, cryptography, validation
✓ ML Transformations — clustering, classification, regression, anomaly detection
✓ Batch Operations — aggregate, pivot, unpivot, window functions, ranking
✓ Multi-Target Loading — INSERT, UPDATE, UPSERT, MERGE, fan-out
✓ Streaming Loader — 20,000–50,000 records/sec real-time micro-batching
✓ Reverse ETL — dynamic routing to multiple targets

30+ functions 50K rec/s streaming

📥

Extract

→

⚙️

Transform

Rules Engine
ML Models
30+ Functions

→

📤

Load

5 Operations
Multi-Target

uppercase(NAME1) → customer_name

IF amount > 1000 THEN tier = 'premium'

dateFormat(ERDAT, 'YYYY-MM-DD')

lookup(LAND1, country_codes)

Phase 3: Large Database Migrations

Handle 10-15 GB+ databases with batch processing, parallel workers, and checkpoint recovery. 75K+ records/sec with constant 450 MB memory footprint.

✓ Batch Processor — 10K record batches with automatic transformation and validation
✓ Parallel Workers — 1-8 configurable workers with load balancing and auto-restart
✓ Checkpoint Manager — Save/restore progress, resume from last checkpoint, prevent duplicates
✓ Real-time Monitoring — Live progress, throughput, memory usage, estimated time remaining
✓ Pause/Resume — Pause at any time without data loss, resume with same configuration
✓ Data Integrity — Automatic verification comparing records, checksums, and detecting discrepancies

75K rec/s throughput 450 MB memory (constant) 2-4 hours for 10-15 GB

Large Migration Performance

Batch Size

10,000 records

Workers

4 (1-8 configurable)

Throughput

75,000 rec/sec

Memory

450 MB (constant)

Phase 4: Monitoring & Reliability

Enterprise-grade reliability with exactly-once semantics, distributed transactions, dead letter queues, and a full replay engine.

✓ Real-time Dashboard — live job metrics, throughput, error rates
✓ Data Lineage — column-level tracking through every pipeline stage
✓ Exactly-Once Semantics — deduplication with record ID, hash, composite key
✓ Replay Engine — resume from extract, transform, validate, or load stage
✓ Dead Letter Queue — automatic retry with configurable backoff
✓ Distributed Transactions — 2-phase commit across multiple targets
✓ SLA Monitoring — availability, latency, throughput, error rate tracking

99.9%

Uptime SLA

Data Loss

2PC

Transactions

Auto

Recovery

Extract ✓

→

Transform ✓

→

Validate ⟳

→

Load

Phase 5: Governance & Security

Military-grade AES-256 encryption, full RBAC, secrets management, 7 data masking strategies, and compliance with 6 major frameworks.

✓ AES-256-GCM Encryption — data at rest and in transit
✓ RBAC — 4 default roles (Admin, Manager, Operator, Viewer) + custom
✓ Secrets Manager — encrypted credential vault with rotation policies
✓ Data Masking — full, partial, hash, redact, shuffle, tokenize, custom
✓ Compliance — GDPR, HIPAA, SOC 2, PCI-DSS, ISO 27001, CCPA
✓ Audit Logs — immutable, timestamped, exportable audit trail

GDPR HIPAA SOC 2 PCI-DSS ISO 27001 CCPA

Plaintext

→

PBKDF2
Key Derivation

→

AES-256-GCM

→

Ciphertext
+ IV + AuthTag

Original:john.doe@company.com

Partial:j***.***@company.com

Hash:a3f8c2d1e9b4...

Tokenize:TKN-8472-XQPL

Phase 6: Usability & Extensibility

A visual drag-and-drop pipeline designer, template library, GraphQL API, and a plugin system — making complex migrations accessible to everyone.

✓ Visual Pipeline Designer — drag-and-drop, no-code interface
✓ Template Library — 5 default templates + custom creation
✓ GraphQL API — queries, mutations, subscriptions
✓ Plugin System — 10 hook types for custom extensions
✓ 6-Step Migration Builder — guided wizard with seed data, health checks
✓ REST API — 50+ endpoints with WebSocket real-time updates

1
Source

2
Target

3
Mapping

4
Transform

5
Validate

6
Review

Transformation Rules

NAME1 → uppercase() → customer_name

EMAIL → lowercase() → email

ERDAT → dateFormat('YYYY-MM-DD') → created_at

+ Add Rule

Phase 7: Migration Use Cases

Purpose-built tools for reconciliation, coexistence mode, and mapping tables — covering every real-world migration scenario.

✓ Reconciliation Engine — source vs target comparison with 5 status types
✓ Coexistence Mode — run source and target in parallel during cutover
✓ Mapping Tables — 4 mapping types for ID translation
✓ Scheduled Sync — cron, interval, event-triggered synchronization
✓ Change Detection — timestamp, sequence, CDC, trigger-based
✓ Conflict Resolution — source-wins, target-wins, merge, custom logic

EntitySourceTargetStatus

customers125,000125,000✓ Match

orders890,000889,997⚠ 3 missing

products45,00045,000✓ Match

vendors8,2008,200✓ Match

Industry Solutions

Proven across every industry

Real-world migration scenarios with sample implementations

🏭

Manufacturing & ERP Migration

Scenario: SAP ERP → PostgreSQL modernization for a 50,000-employee automotive manufacturer

SourceSAP ERP (MSSQL)

TargetPostgreSQL + Data Warehouse

Volume890,000 orders · 125,000 customers

Duration4 weeks (vs 3 months manual)

Downtime< 1 hour

Accuracy99.9997%

KUNNR → customers

VBAK → orders

MARA → products

LFA1 → vendors

PA0001 → employees

sap-migration.json

{
  "name": "SAP ERP → PostgreSQL",
  "source": { "type": "mssql", "database": "SAPDB" },
  "target": { "type": "postgres", "database": "prod_db" },
  "entities": [
    {
      "source": "KUNNR", "target": "customers",
      "transformations": [
        { "field": "NAME1", "fn": "uppercase" },
        { "field": "EMAIL", "fn": "lowercase" },
        { "field": "ERDAT", "fn": "dateFormat",
          "format": "YYYY-MM-DD" }
      ]
    }
  ],
  "batchSize": 5000,
  "parallelWorkers": 4
}

🏥

Healthcare & Patient Data Migration

Scenario: Legacy Oracle EHR → MySQL with HIPAA compliance for a 200-hospital network

SourceOracle EBS (EHR System)

TargetMySQL + Encrypted Data Lake

Volume2.4M patient records

ComplianceHIPAA · HL7 FHIR

MaskingPII fields tokenized

AuditFull immutable trail

patients → patient_master

encounters → visits

diagnoses → icd10_codes

prescriptions → rx_orders

hipaa-config.json

{
  "compliance": ["hipaa", "gdpr"],
  "masking": {
    "ssn": "tokenize",
    "dob": "partial",
    "name": "hash",
    "phone": "redact"
  },
  "encryption": {
    "algorithm": "AES-256-GCM",
    "atRest": true,
    "inTransit": true
  },
  "audit": { "enabled": true, "immutable": true }
}

🏦

Financial Services & Core Banking

Scenario: Legacy core banking (MSSQL) → Snowflake data warehouse for a tier-1 bank

SourceMSSQL Core Banking

TargetSnowflake + BigQuery

Volume500M+ transactions

CompliancePCI-DSS · SOX · Basel III

Transactions2-phase commit

ReconciliationPenny-perfect balancing

accounts → account_master

transactions → txn_ledger

customers → party_master

loans → credit_facilities

banking-migration.json

{
  "mode": "coexistence",
  "conflictResolution": "source_wins",
  "transactions": { "type": "2pc" },
  "reconciliation": {
    "enabled": true,
    "tolerance": 0,
    "balanceCheck": true
  },
  "compliance": ["pci_dss", "soc2"],
  "dlq": { "maxRetries": 5, "backoff": "exponential" }
}

🛒

Retail & E-Commerce

Scenario: Multi-ERP consolidation (Oracle + SAP) → unified MySQL for a global retailer with 5,000 stores

SourcesOracle EBS + SAP Retail

TargetMySQL + Redis Cache

Volume50M+ product SKUs

SyncReal-time CDC streaming

Throughput50,000 rec/s streaming

DowntimeZero — hot cutover

products → product_catalog

inventory → stock_levels

orders → sales_orders

pricing → price_book

retail-streaming.json

{
  "extraction": {
    "strategy": "cdc",
    "cdcMode": "binlog"
  },
  "loading": {
    "mode": "streaming",
    "microBatchMs": 100,
    "targets": ["mysql", "redis"]
  },
  "reverseETL": {
    "enabled": true,
    "routing": "dynamic"
  }
}

🚚

Logistics & Supply Chain

Scenario: TMS/WMS legacy migration to cloud-native PostgreSQL for a global 3PL provider

SourceLegacy TMS (MSSQL)

TargetPostgreSQL + BigQuery

Volume200M+ shipment records

SyncIncremental every 15 min

LineageFull shipment tracking

SLA99.9% uptime guaranteed

shipments → shipment_master

routes → route_plans

warehouses → facility_master

tracking → event_log

logistics-sync.json

{
  "schedule": {
    "type": "interval",
    "intervalMinutes": 15
  },
  "changeDetection": "timestamp",
  "lineage": { "enabled": true, "columnLevel": true },
  "sla": {
    "availability": 99.9,
    "latencyMs": 500,
    "alertOnBreach": true
  }
}

Metric	Manual Process	OPUS Infiniti ETL
Migration Time	2–3 months	✅ 1–2 weeks
Data Accuracy	95–98%	✅ 99.99%
Downtime	4–8 hours	✅ <1 hour
Cost	$200,000+	✅ $75,000
Automation	Manual	✅ Fully automated
Monitoring	None	✅ Real-time
Rollback	Risky	✅ One-click

Documentation

Everything you need to get started

⚡

Quick Start

Up and running in 5 minutes. Connect your first database and run a migration.

npm install && npm start curl https://dm-api.opusinfiniti.com/health

🔌

REST API Reference

50+ endpoints for full programmatic control. WebSocket for real-time updates.

GET/api/configs POST/api/configs/:id/execute GET/api/jobs/:id POST/connections/:id/health

📊

GraphQL API

Flexible queries, mutations, and real-time subscriptions for modern applications.

query {
  migrations {
    id name status
    jobs { progress throughput }
  }
}

🔌

WebSocket Events

Real-time job updates, progress tracking, and system alerts pushed to your client.

job:update — progress, throughput

monitoring:alert — SLA breaches

heartbeat — every 30s

Migrate Any Database
At Enterprise Scale

Everything you need to move data at scale

Phase 1: Advanced Data Extraction

Phase 2: Transformation & Loading

Phase 3: Large Database Migrations

Phase 4: Monitoring & Reliability

Phase 5: Governance & Security

Phase 6: Usability & Extensibility

Phase 7: Migration Use Cases

Built for enterprise from the ground up

Proven across every industry

Manufacturing & ERP Migration

Healthcare & Patient Data Migration

Financial Services & Core Banking

Retail & E-Commerce

Logistics & Supply Chain

Numbers that speak for themselves

OPUS Infiniti ETL vs Manual Migration

Simple, transparent pricing

Everything you need to get started

Quick Start

REST API Reference

GraphQL API

WebSocket Events

Ready to migrate at enterprise scale?

Get in touch

Let's talk about your migration

Migrate Any Database At Enterprise Scale

Everything you need to move data at scale

Phase 1: Advanced Data Extraction

Phase 2: Transformation & Loading

Phase 3: Large Database Migrations

Phase 4: Monitoring & Reliability

Phase 5: Governance & Security

Phase 6: Usability & Extensibility

Phase 7: Migration Use Cases

Built for enterprise from the ground up

Proven across every industry

Manufacturing & ERP Migration

Healthcare & Patient Data Migration

Financial Services & Core Banking

Retail & E-Commerce

Logistics & Supply Chain

Numbers that speak for themselves

OPUS Infiniti ETL vs Manual Migration

Simple, transparent pricing

Everything you need to get started

Quick Start

REST API Reference

GraphQL API

WebSocket Events

Ready to migrate at enterprise scale?

Get in touch

Let's talk about your migration

Migrate Any Database
At Enterprise Scale