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.

Prompt
Run uvx dlthub-init@latest to build a pipeline from your source to Azure Blob Storage and run it on dltHub

How 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

GitHubStripeSalesforcePostgreSQL+ 8,000 more

DLTHUB — MANAGED INFRA

Scheduled, monitored loads. Retries, alerting, governed models.

WAREHOUSE

Azure Blob Storage

Your agent builds the pipeline; dltHub grounds it in real API context and runs it in production — landing in Azure Blob Storage.
Book a demoScheduled, monitored Azure Blob Storage loads — no infrastructure to maintain.

Latest Azure Blob Storage pipelines

Refreshed on every page render — newest and least-recently-crawled first.

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.