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Writer's pictureIshan Deshpande

Azure - Difference between Azure Blob storage and Azure Data Lake Gen 2

Updated: Apr 9, 2023



Azure Blob Storage and Azure Data Lake Storage are two different storage services offered by Microsoft Azure. While both services provide storage for data, there are several key differences between them.


Azure Blob Storage


It is designed to store and manage unstructured text or binary data, such as images, videos, documents, logs, backups, and other large data objects.

Azure Blob Storage offers a highly scalable, secure, and cost-effective solution for storing and accessing large amounts of data from anywhere in the world. It provides features like redundancy, durability, and availability, ensuring that data is always accessible and protected.

It also allows you to access your data through a variety of programming languages and tools, including .NET, Java, Python, Node.js, and REST API. You can also use Azure Blob Storage to stream media content and serve static web content directly to your users.


Azure Data Lake Gen 2


Its is a cloud-based, massively scalable, and secure data lake that is part of the Microsoft Azure ecosystem. It provides a highly scalable and cost-effective solution for storing and processing big data.

Azure Data Lake Storage Gen2 is built on top of Azure Blob Storage and integrates with a variety of Azure services, including Azure HDInsight, Azure Databricks, and Azure Stream Analytics. It provides a hierarchical file system, which allows for efficient data organization and processing, and supports file and directory operations like append, overwrite, and delete.

One of the key features of Azure Data Lake Storage Gen2 is its ability to handle both structured and unstructured data, including documents, images, videos, and logs. It supports a variety of data processing frameworks and languages, including Apache Hadoop, Apache Spark, and .NET. This makes it easy to run analytics on large data sets without having to move the data out of the data lake.


What is the difference between them?


  1. Data types: Azure Blob Storage is designed for storing unstructured data such as text and binary data, while Azure Data Lake Storage Gen2 is designed for storing and processing both structured and unstructured data.

  2. File systems: Azure Blob Storage uses a flat structure with containers and blobs, while Azure Data Lake Storage Gen2 uses a hierarchical file system.

  3. Analytics capabilities: Azure Blob Storage does not provide advanced analytics capabilities, while Azure Data Lake Storage Gen2 supports big data processing frameworks and languages like Hadoop, Spark, and .NET, making it suitable for advanced analytics on large data sets.

  4. Security and compliance: Azure Data Lake Storage Gen2 provides advanced security features such as Azure Active Directory integration, encryption at rest, and data classification and labelling, which help ensure that your data is protected and compliant with regulatory requirements. While Azure Blob Storage provides some security features, such as encryption, it is not designed for compliance and security at the same level as Azure Data Lake Storage Gen2.

  5. Cost: Azure Blob Storage is generally less expensive than Azure Data Lake Storage Gen2, but this can vary depending on factors such as storage volume, data access patterns, and analytics requirements


When to use Azure Blob Storage

  1. You need to store large am amount of unstructured data, such as images, videos, backups, and other large data objects.

  2. You need to store data that does not require advanced analytics capabilities.

  3. You need a simple storage solution that can be accessed from anywhere in the world with high scalability, redundancy, and availability.

  4. You need a cost-effective solution for storing large amounts of data with low-latency access.


When to use Azure Data Lake Gen 2

  1. You need to store and process large amount of structured and unstructured data, such as documents, images, videos, and logs.

  2. You need to perform advanced analytics on your data using big data processing frameworks and languages like Hadoop, Spark, and .NET.

  3. You need a scalable solution that supports advanced analytics and data processing capabilities.

  4. You need advanced security and compliance features to protect your data and ensure regulatory compliance.

In summary, Azure Blob Storage is best suited for storing unstructured data, while Azure Data Lake Storage Gen2 is best suited for storing and processing large amounts of structured and unstructured data, and providing advanced analytics and security features.




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