Included in SSIS PowerPack

SSIS Azure Blob JSON File Source

Read one or many JSON files from Azure Blob Storage and extract data from any nesting level, including GZip and Zip files.

SSIS Azure Blob Source for JSON File can be used to read JSON files from Azure Blob Storage. You can extract data from single or multiple files (wildcard pattern supported). Also you can read compressed files (*.gz) without extracting files on disk.

The trial includes Azure Blob JSON File Source and every other PowerPack component

Azure Blob JSON File Source in SSDT
Azure Blob JSON File Source - Read from JSON File Options
Choose compression, set the array filter and preview the rowsExplore the UI →

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At a glance

What Azure Blob JSON File Source can do

SSIS Azure Blob Source for JSON File can be used to read JSON files from Azure Blob Storage. You can extract data from single or multiple files (wildcard pattern supported). Also you can read compressed files (*.gz) without extracting files on disk.

Read one or many files

Read a single JSON file or many files from Azure Blob Storage using a wildcard pattern (e.g. *.json).

  • Pick files with the Blob Browser UI
  • Recursive includes files from subfolders
  • EnableMultiPathMode reads a list of paths as one dataset

Read Azure Blob files guide

Extract any level

Use a path expression to extract data from any level (e.g. Orders nested under a Customer node).

  • Filter, e.g. $.Customers[*].Orders[*]
  • IncludeParentColumns adds parent properties to each row
  • IncludeParentColumnsWhenChildMissing works like a LEFT OUTER JOIN

Component properties

Array flattening & transforms

Turn nested arrays and 2-dimensional arrays into columns.

  • EnableArrayFlattening with MaxArrayItemsToFlatten
  • ArrayTransformationType: 2D arrays, key/value to columns, JSON Lines and more

Component properties

Compressed files

Read Zip and GZip compressed files in stream mode, without extracting them on disk.

  • FileCompressionType: GZip, Zip or TarGZip

See the screenshots

Dynamic file path

Build the file path at runtime with variable placeholders (e.g. /myroot/{{User::MyFolder}}/*.json).

  • OutputFilePath and OutputFileName add __FilePath / __FileName columns
  • ContinueOnFileNotFoundError continues when a file is missing

Component properties

Pivot columns into rows

Transform columns into rows for flexible downstream processing.

  • EnablePivot outputs Pivot_Name and Pivot_Value
  • IncludePivotPath adds the parent hierarchy as Pivot_Path

Component properties

Raw document output

Pass JSON documents downstream as raw strings instead of parsing them into columns.

  • OutputRawDocument, with optional IndentOutput
  • ExcludedProperties drops properties you do not need

Component properties

SQL Server 2012–2025 & ADF

Runs in your environment on SQL Server 2012–2025 and Azure-SSIS.

  • SQL Server 2025, 2022, 2019, 2017, 2016, 2014, 2012 (32/64-bit)
  • Azure Data Factory (SSIS IR)
  • Design packages in Visual Studio 2017, 2019, 2022, or 2026
  • Windows only (64-bit OS): Windows 7–11 or Windows Server 2012–2025

Compatibility and requirements

Parsing & data types

Control encoding, date and number parsing, and clean the text before it is parsed.

  • DateParseHandling (DateTime or DateTimeOffset) and FloatParseHandling (Decimal)
  • Encoding, CharacterSet and Culture
  • EnableCustomReplace with plain or regex search/replace

Component properties

See all features
  • Read single or multiple files stored in Azure Blob Storage (wildcard pattern supported e.g. *.json)
  • Path expression to extract data from any level (e.g. Orders nested under a Customer node)
  • Include parent columns, optionally even when child records are missing
  • Deep array flattening and 2-dimensional array transformations
  • Read Zip and GZip compressed files in stream mode
  • Data pivot (transform columns into rows)
  • Dynamic file path using variable placeholders (e.g. /myroot/{{User::MyFolder}}/*.json)
  • Select files with the Blob Browser UI and preview data at design time
  • Output raw JSON documents instead of parsed columns
  • DateTime parsing options and high-precision decimal handling
  • Redirect bad records to the error output
  • Output file path and file name as extra columns
  • Connect with access key, SAS URL/token, connection string or the Azure Storage Emulator
  • Support for SQL Server 2025, 2022, 2019, 2017, 2016, 2014, 2012 (32/64-bit) and Azure Data Factory

Runs in your environment ·

SQL Server 2012–2025

and Azure-SSIS · Read the FAQ

How it works

From the toolbox to your first run.

Key steps from the Azure Blob JSON File Source page and help file, with the screens you will see in SSDT.

Pick the connection and the JSON file in the Blob Browser.

Select the Azure Storage connection, then type the path or click the browse button to pick a file in the Blob Browser. Use a wildcard such as *.json to read many files with a similar structure in one go.

  • Single file or wildcard pattern
  • Variable placeholders in the path
  • Optional Recursive subfolder search
Azure Blob JSON File Source - Select JSON File(s) using Blob Browser UI

Inside the UI

Key settings, as they appear in SSDT.

Real screens from the Azure Blob JSON File Source product page. Step through them, or open any shot at full size.

Azure Blob JSON File Source – Read from JSON File Options

Set the compression format, enter an Array Filter such as $.value[*] (or click Select Filter) and click Preview.

Compatibility and requirements

Designed to stay inside your SSIS runtime.

  • SQL Server 2012 through 2025, 32-bit and 64-bit
  • Windows only, 64-bit OS required. SQL Server Express and Web editions do not include SSIS
  • Azure Data Factory SSIS Integration Runtime
  • Self-hosted: credentials and data stay in your environment (external API calls still reach that service)
  • Fully functional 30-day trial of SSIS PowerPack

FAQ

Questions teams ask before they drop Azure Blob JSON File Source on the canvas.

What is Azure Blob JSON File Source?

A Data Flow source that parses JSON files stored in Azure Blob Storage. It reads a single file or many files with a wildcard pattern (e.g. *.json), extracts data from any nesting level with a path expression, and reads GZip or Zip files in stream mode without extracting them to local disk.

How do I extract a nested array such as Orders under Customers?

Set the Array Filter to a path expression, for example $.Customers[*].Orders[*], or click Select Filter to pick the node. Turn on IncludeParentColumns to keep parent properties on each row; IncludeParentColumnsWhenChildMissing keeps parents with no children, like a LEFT OUTER JOIN.

Can it handle 2-dimensional arrays or JSON Lines?

Yes. ArrayTransformationType offers simple and complex 2-dimensional arrays, key/value to columns, columnless arrays and JSON Lines arrays. See the property reference.

Can I tell which file each row came from?

Yes. Set OutputFileName or OutputFilePath to true to add __FileName or __FilePath columns to the output.

Which SQL Server versions can I run it on?

SQL Server 2025, 2022, 2019, 2017, 2016, 2014, and 2012 (32- and 64-bit), plus Azure Data Factory with an SSIS Integration Runtime (packages must target SQL Server 2017). See Compatibility and requirements.

Independent ratings

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What customers say

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Start your free trial today

Install SSIS PowerPack and drag Azure Blob JSON File Source onto the Data Flow.

Read one or many JSON files from Azure Blob Storage, including compressed files, straight into your Data Flow.

  • Data Flow Source in SSISAzure Blob JSON File Source appears in the toolbox after you install PowerPack.
  • Fully functional 30-day trialSSIS PowerPack, running in your environment.
  • Live supportHelp during your trial and after purchase.

New purchases may be eligible for refund review within 30 days. See the refund policy.

Talk to an engineer before or during your trial.

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