Azure Data Lake Storage

Score9.5 out of 10

33 Reviews and Ratings

Community insights

TrustRadius Insights for Azure Data Lake Storage are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Pros

Ease of Setup: Users have found setting up Azure Data Lake Storage account and container to be quite easy, allowing for access from anywhere and easy maintenance. The straightforward setup process has been highlighted as a key advantage by many reviewers.

Integration with Other Services: Reviewers appreciate the seamless integration with Azure Data Factory service for end-to-end pipelines, noting it as pretty user-friendly. This integration provides users with a smooth experience in creating and managing data workflows across services.

Scalability and Performance: Many users praise the scalability of Azure Data Lake Storage, noting its ability to scale endlessly based on requirements while providing significant performance and security measures. The tool's robust scalability options ensure that users can efficiently manage varying workloads without compromising performance or security.

Reviews

13 Reviews

Azure Data Lake : A wonderful Scalable Cloud Storage Solution for all your Big Data Needs

Rating: 9 out of 10

Incentivized

April 25, 2022

Use Cases and Deployment Scope

Stored Terabytes of Healthcare data in a cost-optimized solution on-cloud using Azure Data Lake Storage Gen2 in containerized fashion. We utilized Azure Data Lake Storage containers as a Destination in our Data Engineering Streasmets Pipelines. Loaded Data became available further to multiple downstream applications in an automated and faster way using Azure Data Factory. Also turned out a better, cost-optimized, and faster solution than HDFS for our different business use cases like the migration of huge data from RDBMS to Data Lake.

Pros

Setting up Azure Data Lake Storage account, container is quite easy
Access from anywhere and easy maintenance
Integration with Azure Data Factory service for end to end pipeline is pretty easy
Can store Any form of data (Structured, Unstructured, Semi) in faster manner

Cons

UI search feature can certainly be improvised e.g. inclusion of wildcards to search a particular file in container
Sometimes gets Hanged/lagged while monitoring
Probably the new UI feature can address above issues.

Likelihood to Recommend

Azure Data Lake storage is well suited for applications/use cases within organizations where capturing and storing large amounts of data in any format is required, primarily for storing and processing purposes. It's an easy and cost-effective cloud solution for your application data. The ability to integrate with other Azure Services like Azure Databricks and Azure Data Factory is superb.

Abhishek Katara

Technical Lead in Information Technology at Tata Consultancy Services (10,001+ employees)

Vetted Review

2 years of experience

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Funtionality over cost of Azure Data Lake Storage

Rating: 3 out of 10

Incentivized

April 12, 2022

Use Cases and Deployment Scope

We had all of our storage located within a single datacenter, which caused an issue should it go down. Azure Data Lake Storage allowed us to move some of the storage there, keeping that piece online and active if we lost communication to the main datacenter. It's nice, but not the most reliable.

Pros

PowerShell integration
Azure AD integration
AdlCopy

Cons

Price is a bit steep
CLI could be better
Permissions are difficult to use compared to their competition

Likelihood to Recommend

Azure Data Lake Storage is great if it's used in a company where once configured no one goes in and make changes, and there is little to no need for growth over time. If it's a business that will be modifying it daily and constantly expanding, other vendors may have a more feasible option available.

David Vaughn

Network Engineer in Information Technology at Willis-Knighton Health System (5001-10,000 employees)

Vetted Review

2 years of experience

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There is nothing I don't like, that's why I recommend this app.

Rating: 9 out of 10

Incentivized

April 12, 2022

Use Cases and Deployment Scope

Overall it is easy to learn and would be useful for any home care service. Another thing that I like about it is that there is a phone call system where they help you with all the questions you may have. Audio and video calls are possible, with PC screen sharing its other systems Allows saving documents for some members or sharing them in general channels

Pros

Provides an overview of any device you will eventually work with in the future.
Having short videos allows me to go back and study precisely the topics I need without sifting through 30-minute videos to find the vignettes I need.

Cons

study for the certifications also to have them as a reference for work when you have any questions about applying a configuration to the equipment.
The Internet interface is simple and easy to use. Capacity is good and it's good that HP continues to innovate with this technology

Likelihood to Recommend

Having short videos allows me to go back and study precisely the topics I need without sifting through 30-minute videos to find the vignettes I need. Using the labs, I got Associate Developer and Cloud Practitioner authorization. study for the certifications also to have them as a reference for work when you have any questions about applying a configuration to the equipment.

Daniel Ortiz

Gerente de marketing in Marketing at Numana SEO (51-200 employees)

Vetted Review

2 years of experience

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Big Data Needs Azure Data Lake Storage

Rating: 9 out of 10

Incentivized

April 11, 2022

Use Cases and Deployment Scope

In our environment, we use Azure Data Lake Storage as a basis for data analytics workflows. Since we want to move away from single storage solutions we chose Azure Data lake as it integrates seamlessly with our current Azure environment. We are able to process large amounts of data and visualize and present it accordingly while ensuring availability and security.

Pros

Azure Data Lake Storage is extremely scalable. It allows us to scale up or down endlessly based on what we need including replication.
In terms of security, Azure Data Lake Storage fits our requirements really well as we can monitor and encrypt seamlessly. We can also assign permissions through roles and grant network-level access.
Due to the fact that it can scale, we are able to monitor the cost of storage and any given time and make financial decisions about our infrastructure based on how small or big we want to scale.

Cons

Since the price of Azure Data Lake will fluctuate based on storage size we have to keep a close eye on what data is getting pulled in which can be a cumbersome task as data collection streams need to be throttled to prevent higher storage costs.
When we want to change the parameters of the data being captured by Azure Data Lake we have to keep in mind the historical data that's already been stored and consider methods for reprocessing it.
Azure Data Lake can improve its process for distorted data. As data gets loaded the data cleansing process can be a bit more refined.

Likelihood to Recommend

Azure Data Lake is best suited for organizations looking to capture large amounts of data to process and store it. Azure Data Lake will make this process easy and cost-effective as it allows you to also report on this data. It provides tools to clean and present it into tables, charts, and graphs, and will easily integrate with any existing Azure environments.

Verified User

Technician in Information Technology (51-200 employees)

Vetted Review

1 year of experience

If you're on Azure, and perform big data analytics, you're probably already using it

Rating: 9 out of 10

Incentivized

April 11, 2022

Use Cases and Deployment Scope

We need to store large amount of data that flow daily from our processes as well from external APIs, and we need to keep them for long period of times to perform historical analysis for our clients. Azure Data Lake Storage helps us achieve this goal by providing a secure, fast and large data store for our needs.

Pros

Store large amount of data
Access this data quickly using Synapse Analytics or Spark/Databricks
Ingest data quickly so our ingestion APIs are never throttled

Cons

I'd like to see a better cross-platform native client. Azure Data Explorer is fine, but it's far from the "SSMS" kind of experience SQL Server users are used to.
Listing a large number of file is somewhat problematic and slow. Using the native C# library, running directly on an Azure VM, it can take several hours to list just a couple million files.
Switching from V1 to V2 requires the creation of a new Storage Account and that's pretty inconvenient.

Likelihood to Recommend

You should use Azure Data Lake Storage if you need to store large amount of data for analytical purposes, especially if combined with analytical solutions that support its API, like Azure Databricks or Azure Synapse Analytics. You should not use it for transactional workload, of course.

Davide De Pretto

Software Engineer in Engineering at Witailer (51-200 employees)

Vetted Review

1 year of experience

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

Rating: 9 out of 10

Incentivized

April 9, 2022

Use Cases and Deployment Scope

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.

Pros

Scalable (hosted in the cloud)
Reliable
Fast

Cons

Cannot use blob APIs and NFS 3.0
Access controls
Handling unstructured data

Likelihood to Recommend

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.

Verified User

Employee in Information Technology (5001-10,000 employees)

Vetted Review

3 years of experience

Great way to store your large enterprise data

Rating: 9 out of 10

Incentivized

April 9, 2022

Use Cases and Deployment Scope

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.

Pros

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.

Cons

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.

Likelihood to Recommend

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.

Verified User

Program Manager in Information Technology (201-500 employees)

Vetted Review

2 years of experience

Azure Data Lake works for us, and might work great for you too!

Rating: 9 out of 10

Incentivized

April 7, 2022

Use Cases and Deployment Scope

Azure Data Lake is being utilized in a number of ways for our company, most of all tracking employee meal plans, and other analytical sales data. This is the best solution for our use case, and has worked extremely well. We love that it also integrates with Power BI, which our sales team and marketing folks use heavily.

Pros

Affordable and cost effective for small-medium sized businesses.
Regulatory Compliance Metrics
Deployment that's not complicated

Cons

U-SQL is somewhat complex to understand
You cannot use blob APIs, NFS 3.0, and Data Lake Storage APIs to write to the same instance of a file.
The WASB driver experiences issues all the time

Likelihood to Recommend

ADL is great for structured and unstructured data backups: files, folders, disks, VMs, and databases. It does this better than any platform we ever vetted, and Microsoft is the industry standard typically.

It may not be feasible or cost effective if you don't have that much data to implement, or if you're a smaller organization with two or less VMs/production servers.

Steve Lollar

IT Support Specialist II in Information Technology at Nantahala Outdoor Center (51-200 employees)

Vetted Review

1 year of experience

Azure Data Lake Storage at a glance

Rating: 7 out of 10

Incentivized

April 6, 2022

Use Cases and Deployment Scope

We use Azure Data Lake Storage as a repository for our larger data analytics. Azure Data Lake has enabled us to capture data of various sizes (from small to large) and types, relatively fast for us to do our analytics. It integrated without issue into our existing data warehouses. Was able to set it up with minimal help.

Pros

File Storage
Highly Scalable
Cross Platform Support
Secure

Cons

Not as flexible as a data warehouse.
Not as optimized for queries as a data warehouse.
Could use more documentation.

Likelihood to Recommend

While I did not think it was the most difficult to deploy, I did feel that there were some steps that took time when migrating from our data warehouse to data lakes. More documentation would have been helpful but I expect this to improve as the user base grows. I find that I need to be more careful in writing my queries for optimization when using a data lake. Can be a little more cavalier in a warehouse.

Verified User

Analyst in Information Technology (1001-5000 employees)

Vetted Review

2 years of experience

Highly Scalable and Efficient Visualize Data App

Rating: 7 out of 10

Incentivized

April 6, 2022

Use Cases and Deployment Scope

Microsoft Azure Data Lake Storage is the best among all available Hadoop data Software in the market. It has the best end-to-end security for our data. It is used by our company to analyze our large data. It is highly cost-efficient and also highly scalable with gives us a visualization of our dataset and makes it easy to understand the data properly.

Pros

Data Visualization
Highly Encrypted
Cost Efficient

Cons

UI Design is quite complex to understand.
All Features are not up to date.
Analyzing large data sometimes makes its slow.

Likelihood to Recommend

We have used Azure Data Lake Storage to analyze our large dataset to understand and visualize it thoroughly. It is highly encrypted and is highly scalable. It helps us to organize our data well and distribute it basis on its size.

Verified User

Consultant in Engineering (10,001+ employees)

Vetted Review

1 year of experience

Loading Reviews List....

Big Data Needs Azure Data Lake Storage

Rating: 9 out of 10

Incentivized

April 11, 2022

Use Cases and Deployment Scope

Pros

Azure Data Lake Storage is extremely scalable. It allows us to scale up or down endlessly based on what we need including replication.
In terms of security, Azure Data Lake Storage fits our requirements really well as we can monitor and encrypt seamlessly. We can also assign permissions through roles and grant network-level access.
Due to the fact that it can scale, we are able to monitor the cost of storage and any given time and make financial decisions about our infrastructure based on how small or big we want to scale.

Cons

Since the price of Azure Data Lake will fluctuate based on storage size we have to keep a close eye on what data is getting pulled in which can be a cumbersome task as data collection streams need to be throttled to prevent higher storage costs.
When we want to change the parameters of the data being captured by Azure Data Lake we have to keep in mind the historical data that's already been stored and consider methods for reprocessing it.
Azure Data Lake can improve its process for distorted data. As data gets loaded the data cleansing process can be a bit more refined.

Likelihood to Recommend

Verified User

Technician in Information Technology (51-200 employees)

Vetted Review

1 year of experience