1. Home
  2. Object Storage Solutions
  3. Azure Data Lake Storage Reviews
  4. User Review of Azure Data Lake Storage
It's a decent backbone for maintaining and controling the real big data
April 09, 2022

It's a decent backbone for maintaining and controling the real big data

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

Overall Satisfaction with Azure Data Lake Storage

We use the Azure Data Lake Storage unlimited capacity for storing real big IoT data. The major problem with the real-time data is the scalability and when the business demands more resources the database e.g. increasing number of connected sensors, the Azure Data Lake Storage is highly scalable and helps us to manage such big data.
  • Scalable (hosted in the cloud)
  • Reliable
  • Fast
  • Cannot use blob APIs and NFS 3.0
  • Access controls
  • Handling unstructured data
  • Scalability
  • Performance
  • Security
  • Provide a decent backbone for analytical and ML activities
  • Enable data democratization across the people in the company
  • It needs a bit depth technical know-how knowledge to set-up
Microsoft solutions provide great harmony in end-to-end data value creation, and Azure Data Lake Storage is highly compatible with other analytical solutions, e.g., Azure Data Factory and Databricks. So I would say that it is at the heart of the analytical solution in the company, from ADF to ingesting the data and creating insightful analytics in Azure Databricks.

Do you think Azure Data Lake Storage delivers good value for the price?

Not sure

Are you happy with Azure Data Lake Storage's feature set?

Yes

Did Azure Data Lake Storage live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Azure Data Lake Storage go as expected?

I wasn't involved with the implementation phase

Would you buy Azure Data Lake Storage again?

Yes

For handling big data, it works very well, the interface is friendly also it provides a great feature and capability for adding security layers in working with data, so good security features.
The big data compute clusters are easy to set up and the learning curve is somehow easy but still Microsoft needs to provide more intractive instructions.