Source systems

Build typed, archetype-aware migration projects for warehouses, databases, ERP and SaaS applications, ETL platforms, mainframes, query engines, and streams.

Airlift source packs turn a source name into a developer contract. Variants, workload surfaces, specialist adapter boundaries, governed actions, required evidence, residue, and Databricks modernization targets. The pack never contains credentials and never equates catalog coverage with live certification.

npm install --global @fabricorg/airlift-cli
fa sources
fa source inspect sap
fa source plan sap --variant sap_s4hana
fa source plan kafka --variant confluent_cloud --json

Warehouses and analytical platforms

Source	Profile	Public level	Developer guide
Azure Synapse	`synapse`	executable	Synapse
SQL Server and Azure SQL	`sql_server`	executable	SQL Server
Snowflake	`snowflake`	executable	Snowflake
Amazon Redshift	`redshift`	executable	Redshift
Oracle	`oracle`	executable	Oracle
Teradata	`teradata`	executable	Teradata
Netezza	`netezza`	assessable	Netezza
Hadoop	`hadoop`	assessable	Hadoop
Google BigQuery	`bigquery`	assessable	BigQuery
Greenplum	`greenplum`	cataloged	Greenplum
Vertica	`vertica`	cataloged	Vertica

The seven Databricks Migration & Modernization specialization tracks represented here are:

Microsoft SQL Migration;
Snowflake Migration;
AWS Redshift Migration;
Azure Synapse Migration;
Oracle Migration;
Hadoop Migration;
Teradata Migration.

ERP, SaaS, and operational systems

Source	Profile	Important variants	Guide
SAP	`sap`	BDC, S/4HANA, ECC, BW/4HANA, HANA, Datasphere	SAP
Microsoft Dynamics 365	`dynamics_365`	Dataverse, Finance and Operations, Sales and Service	Dynamics 365
Salesforce	`salesforce`	Sales/Service Cloud, Marketing Cloud	Salesforce
PostgreSQL	`postgresql`	PostgreSQL, Aurora, RDS	PostgreSQL
MySQL	`mysql`	MySQL, Aurora, RDS, MariaDB	MySQL
Workday	`workday`	HCM, reports and extracts	Workday
ServiceNow	`servicenow`	ServiceNow platform	ServiceNow

Already on Databricks

Source	Profile	Modernization variants	Guide
Databricks native estate	`databricks`	Unity Catalog, workspace consolidation, cost/performance	Databricks-native modernization

Pipelines, query engines, and streams

Source	Profile	Route	Guide
Informatica, SSIS, ADF, Glue, Talend, Matillion, ODI	`etl_modernization`	pipeline export, mapping, implementation, rehearsal	ETL modernization
IBM Db2 and mainframe data	`db2`	platform-aware unload or log capture	Db2
Amazon Athena	`athena`	catalog-by-catalog federation or materialization	Athena
Presto	`presto`	backing-source disposition	Presto
Trino and Starburst	`trino`	backing-source disposition	Trino
Kafka, Confluent, Amazon MSK	`kafka`	checkpointed parallel run	Kafka
Azure Event Hubs	`event_hubs`	offsets, checkpoints, loss/duplicate proof	Event Hubs
Amazon Kinesis	`kinesis`	sequence checkpoints and parallel run	Kinesis

Ten areas every source pack covers

SOURCE_MIGRATION_AREAS requires every plan to address:

inventory and dependencies;
SQL and code conversion or disposition;
data movement;
pipelines and orchestration;
security and Unity Catalog governance;
functional and data validation;
performance and scale;
BI and downstream consumers;
cutover and rollback;
Databricks modernization.

Use the registry from TypeScript

import {
  createSourceMigrationPlan,
  resolveSourceSystemProfile,
} from '@fabricorg/airlift';

const profile = resolveSourceSystemProfile('d365');
const plan = createSourceMigrationPlan(profile.id, {
  variant: 'dynamics_365_finance_operations',
});

console.log(profile.archetype);    // saas
console.log(profile.implementationRoutingLevel); // cataloged; routing breadth, not achieved proof
console.log(plan.steps.map((step) => step.id));

Continue with the source-pack contract and developer workflow.