It looks to be a confusion for users like me as what are the main differences between azure blob storage and azure data lake storage, and in what user case azure blob storage fits better than azure data lake storage, and vice versa?
Thank you.
2 Answers
1
votes
Data Lake Storage Gen1 Purpose: Optimized storage for big data analytics workloads
Azure Blob Storage Purpose: General purpose object store for a wide variety of storage scenarios, including big data analytics
Data Lake Storage Gen1 Use Cases: Batch, interactive, streaming analytics and machine learning data such as log files, IoT data, click streams, large datasets
Azure Blob Storage Use Cases: Any type of text or binary data, such as application back end, backup data, media storage for streaming and general purpose data. Additionally, full support for analytics workloads; batch, interactive, streaming analytics and machine learning data such as log files, IoT data, click streams, large datasets
Further more details you could refer to this doc:Comparing Azure Data Lake Storage Gen1 and Azure Blob Storage, there is a table summarizes the differences between Azure Data Lake Storage Gen1 and Azure Blob Storage along some key aspects of big data processing.
