Azure Blob Storage to Azure Data Lake Storage Integration
AI-first ETL from Azure Blob Storage into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.
How Datrise loads Azure Blob Storage into Azure Data Lake Storage
Datrise syncs Azure Blob Storage's containers, blobs, blob metadata, snapshots, access tiers, and blob versions into Azure Data Lake Storage as partitioned Parquet in ADLS Gen2 per source entity. Flexible or custom fields land in nested struct/map fields in Parquet, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.
Sync is incremental: Datrise uses writes new date partitions to the container and compacts on a schedule, so re-runs update only what changed. Hive-style partitioning by load date, readable by Synapse and Databricks. ADLS hierarchical namespace makes folder layout matter, so Datrise keeps a predictable entity/date path your Azure engines mount directly.
Ideal for Azure lakehouse storage shared across Synapse and Databricks.
Endpoints
Azure Blob Storage: Object storage for blobs and data lake files on Azure.
Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.
How Azure Blob Storage entities map to Azure Data Lake Storage
| Azure Blob Storage entity | Azure Data Lake Storage object | Notes |
|---|---|---|
| containers | azureblobstorage_containers | id PK · custom fields → nested struct/map fields in Parquet |
| blobs | azureblobstorage_blobs | id PK · linked to azureblobstorage_containers |
| blob metadata | azureblobstorage_blob_metadata | id PK · linked to azureblobstorage_containers |
| snapshots | azureblobstorage_snapshots | id PK · linked to azureblobstorage_containers |
FAQ
How does Datrise handle Azure Blob Storage's custom fields in Azure Data Lake Storage?
Flexible values are stored as nested struct/map fields in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Data Lake Storage types.
How does the Azure Blob Storage to Azure Data Lake Storage sync stay up to date?
It runs incrementally — Datrise uses writes new date partitions to the container and compacts on a schedule.
Related pipelines
More destinations for Azure Blob Storage
- Azure Blob Storage → Azure Synapse
- Azure Blob Storage → Spreadsheets
- Azure Blob Storage → Airtable
- Azure Blob Storage → CSV Files
- Azure Blob Storage → MongoDB
- Azure Blob Storage → Supabase
- Azure Blob Storage → Neon
- Azure Blob Storage → PlanetScale
- Azure Blob Storage → Amazon DynamoDB
- Azure Blob Storage → Looker
- Azure Blob Storage → Looker Studio
- Azure Blob Storage → Microsoft Power BI
More sources for Azure Data Lake Storage
- Babelforce → Azure Data Lake Storage
- BigCommerce → Azure Data Lake Storage
- Google BigQuery → Azure Data Lake Storage
- Branch → Azure Data Lake Storage
- Braze → Azure Data Lake Storage
- Bronto → Azure Data Lake Storage
- CallRail → Azure Data Lake Storage
- Campaign Monitor → Azure Data Lake Storage
- Cart → Azure Data Lake Storage
- ChartMogul → Azure Data Lake Storage
- CircleCI → Azure Data Lake Storage
- CleverTap → Azure Data Lake Storage
Early access
Connect Azure Blob Storage to Azure Data Lake Storage the easy way
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