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Omni Loader
Overview
Solutions
Migration
Large-scale database migration
Move multi-terabyte estates inside a controlled migration window.
Multi-source consolidation
Load several aliased source catalogs into one target.
Schema conversion
Plan target tables, types, indexes, sequences, and foreign keys.
Analytics and operations
Data lakes and warehouses
Prepare and ingest analytics-ready files in parallel.
Snapshot reconciliation
Find added, changed, and deleted rows and apply batch repairs.
External BLOB extraction
Move selected binary values into Azure Blob Storage.
Platform
Move data
High-performance loading
Run bounded parallel work across tables and ranges.
Adaptive loading
Use provider bulk APIs, statements, files, or native ingestion.
Table slicing
Split by partition, number, date, text prefix, or file range.
Staged ingestion
Stage CSV, Parquet, or Avro through cloud object storage.
Shape the migration
Data selection
Choose tables, columns, filters, load modes, and data tiers.
Mapping and transformations
Control target names, types, and value representations.
Customization
Set project defaults and precise table-level overrides.
Self-tuning
Start from practical defaults and tune the exceptions.
Prove and operate
Validation
Verify loads with counts, hashes, or record comparison.
Resume and recover
Review runs and replay failed work units.
Console automation
Run saved projects from CI/CD or an external scheduler.
Deployment
Run locally on Windows or Linux near the data path.
Connectors
Supported databases
Browse relational, warehouse, cloud, and file endpoints.
Warehouse and lake ingestion
Review staged analytics destinations and formats.
Resources
Documentation
Testimonials
Plan a migration
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