Azure Data Lake Storage Gen2 is a highly scalable and cost-effective data lake solution for big data analytics. It combines the power of a high-performance file system with massive scale and economy to help you speed your time to insight. Data Lake Storage Gen2 extends Azure Blob Storage capabilities and is optimized for analytics workloads.
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Vultr
Score 8.9 out of 10
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Vultr is an independent cloud computing platform on a mission to provide businesses and developers around the world with unrivaled ease of use, price-to-performance, and global reach.
$1
per month
Pricing
Azure Data Lake Storage
Vultr
Editions & Modules
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Block Storage
$1
per month
Cloud Compute
$2.50
per month
Object Storage
$5
per month
Kubernetes Engine
$10
per month
Load Balancers
$10
per month
Managed Databases
$15
per month
Optimized Cloud Compute
$28
per month
Cloud GPU
$90
per month
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$120
per month
Offerings
Pricing Offerings
Azure Data Lake Storage
Vultr
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Pricing is based on specifications chosen in each product category. Bandwidth is also included up to a certain amount per month.
We have used both Hadoop and GCS buckets for our storage needs of very large healthcare data. In terms of comparison with the Hadoop distributed Files system, Azure Data Lake Storage always stands in a far better position due to easy integration with various latest and widely …
Azure Data Lake Storage from a functionality perspective is a much easier solution to work with. It's implementation from Amazon EMR went smooth, and continued usage is definitely better. However, Amazon EMR was significantly cheaper overall between the high transaction fees …
We chose Azure Data Lake due to the fact that it was already a product under the Azure application suite. We didn't have to focus on integrating another 3rd party application within our environment. Also due to the fact Azure Data Lake scales its storage pools very efficiently, …
We decided long ago to develop for the Azure platform, so we only evaluate products from within Azure. And Azure Data Lake Storage is really the dominant offering within its space. But to give you a comparison, previously we used to use Azure SQL Database for our analytical …
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 …
AWS charges you on an hourly basis but Azure has a pricing model of per minute charge. In terms of short term subscriptions, Azure has more flexibility but it is more expensive. Azure has a much better hybrid cloud support in comparison with AWS. AWS provides direct connections …
I am much more familiar with Snowflake. I thought it was fairly straightforward to use and did not have to learn much syntax. With Azure Data Lake Storage, I have had to learn some new syntax and thought there was a steeper learning curve. We selected it because of cost savings.
We looked at the Amazon solution and it did not play as well with our existing tools and added a layer of maintenance that we were not willing to take on at the time. We thought that our Microsoft contract and support were good and that our internal team had the knowledge to …
The Azure Data Lake solution is designed for organizations that want to take advantage of big data. It provides a data platform that can help developers, data scientists, and analysts store data of any size and format and perform all types of processing and analytics across …
Vultr comes in at the lower end of the spectrum in terms of the breadth of the services they provide compared to the larger vendors, but they are consistently demonstrating their commitment to growing their service offering and platform features. We selected Vultr because of …
Vultr has a greater offering of servers whilst staying reasonably priced compared to some of the larger infrastructure providers. They may not have all the services as some of the other providers but they don't need it when they can do what they do with the services they provide.
Vultr has better support and competitive pricing. The network is solid and globally deployed. IP reputation is clean, and security is tight. Ease of use and documentation is really good. User experience has been the best I ever experienced. Low stress, reliable …
The performance beats upcloud. The only thing I really liked about upcloud better was the backup offerings. They had more flexible backup plans, but I love the every other night plan on Vultr as well.
AWS and Google Cloud are great platforms, but the price is complex and their VMs are rather expensive for what they are. I believe these services may be better for more mission critical servers or taking advantage of being able to use their cloud servers rather than just run a …
CloudCo was not listed. In comparison, the pricing of the competition is in a place where I wouldn't retain any margin for smaller customers, that's why I use Vultr for those. Vultr's self serve interface and UI is much better and more customizable for the general architect. If …
Vultr has been a more cost effective solution in some areas. Compared to AWS EC2, Vultr has been a lot more cost effective for our environment. Vultr has the right vCPU, RAM, and storage for our needs. In the object storage space, Vultr has not been the best fit for our …
Vultr offers the same services as all the major cloud providers however Vulr offers a clear pricing modeling with no hidden fees. This has been incisive in deciding which provider to go with. I have never encountered any downtime with their services Technically, Vultr has the …
From the perspective of the above, Vultr provides the best balance of cost vs. performance for us. Cloudways stacks a large fee for each VPS you spin up, and this quickly escalates. Linode comes closest (at least when I used it a few years ago) to Vultr, and 3 years ago this …
Vultr is much easier to get started with, less things to configure, a simpler interface. To deploy and manage a server is much easier. I am sure for a production SaaS app there are features in AWS and Azure that are needed, but for dev/test environment, I prefer Vultr.
Vultr is a dream to use after coming from AWS - the products are intuitively named, don't require gaining a certification to use, and have better documentation. Vultr's documentation is a little less comprehensive and organized than google cloud's; however, its pricing and …
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.
Vultr is amazing for anyone who needs a server and wants to spend time taking care of it, or for someone who wants in on it. WordPress Minecraft kids can use Votr. The scenario is not as appropriate for the people who do not have as much technical knowledge and capacity and don't want to invest in it, not because of Votr itself, but because VPS is not kids' play. Even though we have a Minecraft server and they're quite easy, there will come a time when, if you put your business infrastructure inside Vultr or any VPS, you need to take care of it. Otherwise, it will have a problem.
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.
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.
the ability of increasing a specific configuration without the need of upgrading the whole plan, for example i might need to add more memory but i'm satisfied with my current processors and hard disk capacity (or vise versa)
Solving the problems of taking an image to the server if the server capacity (hard disk) is bigger than 1TB (which i'm currently facing a big problem because of that)
Just a great product with no bells and whistles, which is the advantage. We spend very little time learning and using Vultr and more time using the systems we have in Vultr to complete our tasks. Not having to worry about the IT overhead is huge and saves a great deal of time
easy to use and configure. great bang for the buck. I need an affordable solution to host in the cloud data from systems installed at our client's site with the ability to drill down and change the configuration remotely. Vultr enabled us to do that in an efficient and affordable way.
Vultr makes it easy to contact technical support. The techs are very competent. In a number of occasions they have bounced the responsibility back to me when they could have saved us all time and heartache by simply implementing the solution directly
Vultr implementation seemed based on open-source tools and basic cloud principles - some things were more complicated to do compared with more developed cloud providers, but on the other hand it was more extensible by open-source tools.
The Azure Data Lake solution is designed for organizations that want to take advantage of big data. It provides a data platform that can help developers, data scientists, and analysts store data of any size and format and perform all types of processing and analytics across multiple platforms and programming languages. It can work with your existing solutions, such as identity management and security solutions. It also integrates with other data warehouses and cloud environments. It can be useful for organizations that need the above softwares.
Vultr has better support and competitive pricing. The network is solid and globally deployed. IP reputation is clean, and security is tight. Ease of use and documentation is really good. User experience has been the best I ever experienced. Low stress, reliable hosting I would recommend to anyone. It helped me easily scale and expand my business.
The cost can be high for more advanced work. In some cases, for instance, time limits and lab runtimes may be too short if you are too slow to learn what is explained as you go along.
promote flexible team communication. You can create different spaces for different teams, and share files and tasks.