Apache Hadoop vs. Azure Blob Storage

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Hadoop
Score 7.5 out of 10
N/A
Hadoop is an open source software from Apache, supporting distributed processing and data storage. Hadoop is popular for its scalability, reliability, and functionality available across commoditized hardware.N/A
Azure Blob Storage
Score 9.0 out of 10
N/A
Microsoft's Blob Storage system on Azure is designed to make unstructured data available to customers anywhere through REST-based object storage.
$0.01
per GB/per month
Pricing
Apache HadoopAzure Blob Storage
Editions & Modules
No answers on this topic
Block Blobs
$0.0081
per GB/per month
Azure Data Lake Storage
$0.0081
per GB/per month
Files
$0.058
per GB/per month
Managed Discs
$1.54
per month
Offerings
Pricing Offerings
HadoopAzure Blob Storage
Free Trial
NoYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache HadoopAzure Blob Storage
Best Alternatives
Apache HadoopAzure Blob Storage
Small Businesses

No answers on this topic

Backblaze B2 Cloud Storage
Backblaze B2 Cloud Storage
Score 8.6 out of 10
Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
Google Cloud Storage
Google Cloud Storage
Score 9.0 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 7.2 out of 10
Google Cloud Storage
Google Cloud Storage
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache HadoopAzure Blob Storage
Likelihood to Recommend
8.0
(37 ratings)
10.0
(9 ratings)
Likelihood to Renew
9.6
(8 ratings)
-
(0 ratings)
Usability
8.0
(6 ratings)
8.0
(1 ratings)
Performance
8.0
(1 ratings)
-
(0 ratings)
Support Rating
7.5
(3 ratings)
9.0
(3 ratings)
Online Training
6.1
(2 ratings)
-
(0 ratings)
User Testimonials
Apache HadoopAzure Blob Storage
Likelihood to Recommend
Apache
Altogether, I want to say that Apache Hadoop is well-suited to a larger and unstructured data flow like an aggregation of web traffic or even advertising. I think Apache Hadoop is great when you literally have petabytes of data that need to be stored and processed on an ongoing basis. Also, I would recommend that the software should be supplemented with a faster and interactive database for a better querying service. Lastly, it's very cost-effective so it is good to give it a shot before coming to any conclusion.
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Microsoft
In Azure, it is the storage to use, and in my view, the Blob Storage offers more, or finer-grained configuration options, than S3. So my recommendation would be to check in detail what is offered. As the Blob Storage is more or less a Microsoft exclusive product, the "interoperability" is more limited than, for example, with S3. The S3 is more widely adopted, and if you cannot exclude a migration scenario from one cloud provider to another, additional effort is needed.
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Pros
Apache
  • Handles large amounts of unstructured data well, for business level purposes
  • Is a good catchall because of this design, i.e. what does not fit into our vertical tables fits here.
  • Decent for large ETL pipelines and logging free-for-alls because of this, also.
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Microsoft
  • Ease of use both through Azure Portal as well as API.
  • Cost-effective solution for storing a large amount of data compared to other storage solutions.
  • Scalability, Security, and Performance are the other key aspects of Azure Blob Storage that are easily manageable through Admin Console.
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Cons
Apache
  • Less organizational support system. Bugs need to be fixed and outside help take a long time to push updates
  • Not for small data sets
  • Data security needs to be ramped up
  • Failure in NameNode has no replication which takes a lot of time to recover
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Microsoft
  • Sometimes the behavior is nondeterministic (e.g. compare config via UI vs. terraform).
  • While it does some things better than S3, the interoperability in a migration scenario seems cumbersome.
  • The number of features/config options is overwhelming; we found the docs, etc., a bit hard to read.
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Likelihood to Renew
Apache
Hadoop is organization-independent and can be used for various purposes ranging from archiving to reporting and can make use of economic, commodity hardware. There is also a lot of saving in terms of licensing costs - since most of the Hadoop ecosystem is available as open-source and is free
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Microsoft
No answers on this topic
Usability
Apache
As Hadoop enterprise licensed version is quite fine tuned and easy to use makes it good choice for Hadoop administrators. It’s scalability and integration with Kerberos is good option for authentication and authorisation. installation can be improved. logging can be improved so that it become easier for debugging purposes. parallel processing of data is achieved easily.
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Microsoft
Blob storage is fairly simple, with several different options/settings that can be configured. The file explorer has enhanced its usability. Some areas could be improved, such as providing more details or stats on how many times a file has been accessed. It is an obvious choice if you're already using Azure/Entra.
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Support Rating
Apache
It's a great value for what you pay, and most Data Base Administrators (DBAs) can walk in and use it without substantial training. I tend to dabble on the analyst side, so querying the data I need feels like it can take forever, especially on higher traffic days like Monday.
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Microsoft
Microsoft has improved its customer service standpoint over the years. The ability to chat with an issue, get a callback, schedule a call or work with an architecture team(for free) is a huge plus. I can get mentorship and guidance on where to go with my environment without pushy sales tactics. This is very refreshing. Typically support can get me to where I need to be on the first contact, which is also nice.
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Online Training
Apache
Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.
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Microsoft
No answers on this topic
Alternatives Considered
Apache
Not used any other product than Hadoop and I don't think our company will switch to any other product, as Hadoop is providing excellent results. Our company is growing rapidly, Hadoop helps to keep up our performance and meet customer expectations. We also use HDFS which provides very high bandwidth to support MapReduce workloads.
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Microsoft
Azure Premium Blob offers better latency than competitors. It works best with the Azure ecosystem, and competitors lack it. Azure Blob even stands out in storage durability, providing up to 16 nines. It can have various use cases that can suit all the organisation's needs. The Azure Blob solution can also be deployed on-premises.
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Return on Investment
Apache
  • There are many advantages of Hadoop as first it has made the management and processing of extremely colossal data very easy and has simplified the lives of so many people including me.
  • Hadoop is quite interesting due to its new and improved features plus innovative functions.
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Microsoft
  • Azure Blob has reduced our overall infrastructure cost.
  • With Azure Blob Storage, we don't need dedicated personnel to maintain storage and its related infrastructure.
  • Azure Blob Storage provides a one-stop storage solution for most of our business needs, allowing us to focus solely on the business.
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ScreenShots