Load data into Azure Blob Storage
Browse every ready-made pipeline that loads data into Azure Blob Storage with dlt. Build source-to-Azure Blob Storage pipelines with your coding agent in minutes.
10 ready-made pipelines load into Azure Blob Storage. Azure Blob Storage destination docs →
Find your pipeline to Azure Blob Storage
No pipelines load into Azure Blob Storage yet.
Build a pipeline to Azure Blob Storage with your coding agent
Paste this prompt into Claude, Codex, or Cursor. It scaffolds a dltHub workspace with the dltHub AI harness — the project rules, secrets-management skill, and dlt MCP server your agent needs — then writes, runs and validates the pipeline while you review.
uvx dlthub-init@latest to build a pipeline from your source to Azure Blob Storage and run it on dltHubHow dltHub runs Azure Blob Storage pipelines in production
YOUR CODING AGENT
Claude, Codex, or Cursor — writes, runs and validates the pipeline
DLTHUB — THE AGENTIC LAYER
AI harness
Project rules, secrets skill, dlt MCP server
Context catalog
API facts for 8,000+ sources, ready for your agent
SOURCES
DLTHUB — MANAGED INFRA
Scheduled, monitored loads. Retries, alerting, governed models.
WAREHOUSE
Azure Blob Storage
Latest Azure Blob Storage pipelines
Refreshed on every page render — newest and least-recently-crawled first.
- Amazon S3 to Azure Blob Storage
- Azure Blob Storage to Azure Blob Storage
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- Local Filesystem to Azure Blob Storage
- MySQL to Azure Blob Storage
- IBM Db2 to Azure Blob Storage
- SAP HANA to Azure Blob Storage
- PostgreSQL to Azure Blob Storage
- Oracle Database to Azure Blob Storage
- Microsoft SQL Server to Azure Blob Storage
All Azure Blob Storage pipelines A–Z
Moving data out of Azure Blob Storage?
Azure Blob Storage also works as a source: dlt reads CSV, Parquet and JSONL files from an Azure Blob Storage container and loads them into Snowflake, BigQuery or any other destination. Azure Blob Storage as a source →
As a destination, Azure Blob Storage is derived from dlt's filesystem destination, which also writes to Amazon S3, Google Cloud Storage and local files. So the same pipeline can switch to another of them by changing only the bucket_url.