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https://catalogartifact.azureedge.net/publicartifacts/kinetistack.oracle-to-adls-archive-d07df2c7-3659-4219-8178-51d08e6a40a5/image1_KinetiStackMark216.png

Oracle ⇄ ADLS Bridge

by KinetiStack LLC

Archive Oracle to Azure Data Lake as Parquet — cut Oracle license costs, query in Synapse/Fabric.

Oracle archive databases are expensive to keep and risky to retire. License and support renewals keep billing for data nobody queries outside audits, while HIPAA, PCI, and GDPR retention mandates require years of accessibility. Oracle ⇄ ADLS Bridge removes that trade-off: archive Oracle data to low-cost Azure storage in an open format, keep every row queryable, and decommission the source database — without losing the ability to restore.

The solution extracts data from any TCP-reachable Oracle database — on-premises (via ExpressRoute/VPN), OCI, AWS RDS, or an Azure VM — and writes it to Azure Data Lake Storage Gen2 as Snappy-compressed Parquet. Two-way: restore back to Oracle when you need it, or query the archive in place via Azure Synapse Analytics serverless SQL or Microsoft Fabric Lakehouse without recreating the database.

KEY CAPABILITIES

- Source-agnostic Oracle reads via JDBC. Three-phase parallel extract (PK / ROWID / LOB) with automatic table classification and per-table SCN consistency.
- Captured DDL alongside data. Restore reapplies the schema with portability cleanups and validates row counts post-restore.
- Restore-to-query. Every extract emits Synapse and Fabric catalog SQL — run one script and get queryable views over the Parquet without restoring to Oracle.
- HIPAA-ready. Optional private endpoints on storage and Azure Key Vault, RBAC-only access, and an optional 7-year WORM immutability policy for compliance archive.
- GDPR data residency. Archived data never leaves the Azure region you choose at deploy time.
- Tenant isolation. Everything runs inside your own Azure subscription — no vendor-hosted service is ever in the data path.
- Lifecycle tiering. Blobs move Hot to Cool at 30 days, Archive at 365 days — cutting long-term storage cost.
- One auth pattern everywhere: managed identity, service principals, and developer credentials with a single config.
- Built-in observability. Azure Monitor Workbook with prebuilt KQL queries for job activity, data volume, and cost.
- Productized control plane with a web UI for triggering jobs and downloading manifests.

DEPLOYMENT

A single Bicep template provisions Azure Data Lake Storage Gen2, Azure Key Vault, Log Analytics, a VNet-injected Azure Container Apps environment, the extract and restore jobs, and the control-plane app. The Marketplace UI walks you through the inputs; the deploy takes ~3 minutes. Click the "Get it now" button above to get started.

WHO IT'S FOR

- Regulated industries archiving Oracle for compliance retention with occasional query access (HIPAA, PCI, government).
- Database teams sunsetting Oracle workloads who want a one-time extraction that lives on as a queryable archive.
- Data platform teams seeding Azure data lakes from Oracle without rebuilding the schema in Synapse or Fabric.

NOT for: real-time CDC replication (use Debezium/Oracle GoldenGate), multi-master replication, or backup/recovery as a primary strategy (use Oracle RMAN via Azure Backup).

At a glance

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