Great way to store your large enterprise data
April 09, 2022

Great way to store your large enterprise data

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Azure Data Lake Storage

Azure Data Lake Storage is a huge storage repository service that can be used to store information in the public cloud by Microsoft.
Our business scope is to work on a large data analytic project where we have to extract a large amount of structured and unstructured data for the data analysis and transformation.
Since we are also hosted our business application on Azure Cloud, the Azure Data Lake Storage is very helpful to use as it can be integrate with other Azure services and we do our analysis on the real-time at one place. Azure Data Lake Storage is built on the Hadoop file system which means it can process massive pentabytes of data in an efficient way.
It helps in streamline the overall efficiency of our requirement and business outcomes.
Except for some query performance improvements, we have faced no issues so far.
  • Provides significant performance and security measurements for analytical workloads.
  • Quickly process the queries and store large data.
  • Supports wide range of file extensions system.
  • Secured and scalable data storage solution.
  • Limitation in connecting with other non-Azure sources.
  • Performance issues with large datasets.
  • Improvements in bulk data update and deletion.
  • Query performance for exploratory data analysis.
  • Provides almost unlimited storage which is very important.
  • Integration with other Azure resources and services.
  • A cloud-based analytics service that is fully managed by Microsoft.
  • Secured and scalable storage solution for businesses.
  • Since we are already on Azure Cloud for hosting our application, Azure Data Lake Storage is a must service for all our data storage and transformations.
  • Azure has excellent customer support and services.
  • Training documentation is also very good to learn.
  • Provides large supports of integration with other applications and services.

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Azure Data Lake Storage is built to help with large data analytics and transformations. It can be used as a single data repository for any structured and unstructured data extracted from almost any source. As it is built on top of the Hadoop file system (HDFS), jobs' overall analytic performance and running is quite impressive.
As some features are still in development phase, there are some improvements required to make this a unified storage solution for the organizations.