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
DigitalOcean
Score 8.6 out of 10
N/A
DigitalOcean is an infrastructure-as-a-service (IaaS) platform from the company of the same name headquartered in New York. It is known for its support of managed Kubernetes clusters and “droplets” feature.
$5
Starting Price Per Month
Microsoft Azure
Score 8.5 out of 10
N/A
Microsoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.
$29
per month
Pricing
Apache HadoopDigitalOceanMicrosoft Azure
Editions & Modules
No answers on this topic
1GB-16GB
$5.00
Starting Price Per Month
8GB-160GB
$60.00
Starting Price Per Month
Developer
$29
per month
Standard
$100
per month
Professional Direct
$1000
per month
Basic
Free
per month
Offerings
Pricing Offerings
HadoopDigitalOceanMicrosoft Azure
Free Trial
NoNoYes
Free/Freemium Version
YesNoYes
Premium Consulting/Integration Services
NoNoNo
Entry-level Setup FeeNo setup feeNo setup feeNo setup fee
Additional DetailsThe free tier lets users have access to a variety of services free for 12 months with limited usage after making an Azure account.
More Pricing Information
Community Pulse
Apache HadoopDigitalOceanMicrosoft Azure
Considered Multiple Products
Hadoop
Chose Apache Hadoop
Hadoop offers a scalable, cost-effective and highly available solution for big data storage and processing. The use of a non-proprietary physical layer greatly reduces dependency on technology. It also offers elastic dimensioning capability when deployed on virtual machines or …
DigitalOcean
Chose DigitalOcean
Vultr is a new player in the game. They don't advertise their hardware model and for that reason, people may not trust them. I have run few benchmarks on Vultr, they performed slightly better than DigitalOcean but they aren't trustworthy. Their transparency index is very low …
Chose DigitalOcean
I've tried both AWS and Azure and, while they're both great solutions, they are much more challenging to setup and maintain. The idea that my billing could spike because of something unexpected leaves me a tad uneasy. For our solutions I'd rather pay the $10/mo with …
Chose DigitalOcean
Initially we started using DigitalOcean due to their pricing point as we were in development phase. Slowly when we used it, we starting liking it a lot as it is very fast & easy to get started, compared to the other Cloud Providers we've used. Also they have blogs and …
Chose DigitalOcean
DigitalOcean offers low prices, much lower than AWS (Azure) however AWS provides much more features and better performance than DigitalOcean. I chose DigitalOcean to save myself some money.
Microsoft Azure
Chose Microsoft Azure
I would say that Azure stacks up pretty good and sometimes better in comparison to what Google Cloud Platform has to offer. I don't like GCP for its absurd licensing fees and it's expensive for just Using EC2 Instances. However, DigitalOcean and AWS can offer far better …
Chose Microsoft Azure
We have settled with Microsoft Azure considered its effective administration and the ability to data visualization and analysis, together with the top-notch security/stability.
Features
Apache HadoopDigitalOceanMicrosoft Azure
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
Apache Hadoop
-
Ratings
DigitalOcean
9.1
36 Ratings
10% above category average
Microsoft Azure
8.5
27 Ratings
3% above category average
Service-level Agreement (SLA) uptime00 Ratings9.931 Ratings8.126 Ratings
Dynamic scaling00 Ratings9.932 Ratings8.725 Ratings
Elastic load balancing00 Ratings9.423 Ratings8.624 Ratings
Pre-configured templates00 Ratings10.029 Ratings8.225 Ratings
Monitoring tools00 Ratings9.235 Ratings8.326 Ratings
Pre-defined machine images00 Ratings9.433 Ratings8.424 Ratings
Operating system support00 Ratings8.933 Ratings9.026 Ratings
Security controls00 Ratings8.732 Ratings8.626 Ratings
Automation00 Ratings6.55 Ratings8.224 Ratings
Best Alternatives
Apache HadoopDigitalOceanMicrosoft Azure
Small Businesses

No answers on this topic

DigitalOcean Droplets
DigitalOcean Droplets
Score 9.4 out of 10
DigitalOcean Droplets
DigitalOcean Droplets
Score 9.4 out of 10
Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.0 out of 10
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.0 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 7.2 out of 10
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.0 out of 10
SAP on IBM Cloud
SAP on IBM Cloud
Score 9.0 out of 10
All AlternativesView all alternativesView all alternativesView all alternatives
User Ratings
Apache HadoopDigitalOceanMicrosoft Azure
Likelihood to Recommend
8.0
(37 ratings)
8.8
(36 ratings)
8.8
(96 ratings)
Likelihood to Renew
9.6
(8 ratings)
9.0
(2 ratings)
10.0
(17 ratings)
Usability
8.0
(6 ratings)
8.8
(10 ratings)
8.3
(36 ratings)
Availability
-
(0 ratings)
10.0
(1 ratings)
6.8
(2 ratings)
Performance
8.0
(1 ratings)
9.0
(1 ratings)
-
(0 ratings)
Support Rating
7.5
(3 ratings)
8.8
(9 ratings)
9.0
(27 ratings)
Online Training
6.1
(2 ratings)
-
(0 ratings)
-
(0 ratings)
Implementation Rating
-
(0 ratings)
-
(0 ratings)
8.0
(2 ratings)
Product Scalability
-
(0 ratings)
10.0
(1 ratings)
-
(0 ratings)
User Testimonials
Apache HadoopDigitalOceanMicrosoft Azure
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.
Read full review
DigitalOcean
DigitalOcean is perfect for hosting client websites, running marketing tools, and managing media storage with Spaces and CDN. The use of Droplets to quickly launch landing pages or WordPress sites for campaigns is a Godsend. It’s great for fast, cheap, and scalable solutions. But for complex microservices or projects needing strict compliance (like HIPAA), DigitalOcean may not always be the best fit, but that depends heavily on your project.
Read full review
Microsoft
Azure is particularly well suited for enterprise environments with existing Microsoft investments, those that require robust compliance features, and organizations that need hybrid cloud capabilities that bridge on-premises and cloud infrastructure. In my opinion, Azure is less appropriate for cost-sensitive startups or small businesses without dedicated cloud expertise and scenarios requiring edge computing use cases with limited connectivity. Azure offers comprehensive solutions for most business needs but can feel like there is a higher learning curve than other cloud-based providers, depending on the product and use case.
Read full review
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.
Read full review
DigitalOcean
  • DigitalOcean provides some of the best cost-to-value services available
  • The DigitalOcean cloud console is very intuitive and easy to navigate
  • DigitalOcean has great support for Docker and other dev ops tools like Terraform.
  • DigitalOcean iterates quickly and provides cutting edge features for organizations that want to keep up with the latest and greatest dev ops tooling
  • DigitalOcean has a great developer community and numerous support docs/tutorials
Read full review
Microsoft
  • Microsoft Azure is highly scalable and flexible. You can quickly scale up or down additional resources and computing power.
  • You have no longer upfront investments for hardware. You only pay for the use of your computing power, storage space, or services.
  • The uptime that can be achieved and guaranteed is very important for our company. This includes the rapid maintenance for security updates that are mostly carried out by Microsoft.
  • The wide range of capabilities of services that are possible in Microsoft Azure. You can practically put or create anything in Microsoft Azure.
Read full review
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
Read full review
DigitalOcean
  • Some products/services available on other Cloud providers aren't available, but they seem to be catching up as they add new products like Managed SQL DBs.
  • While they have FreeBSD droplets (VMs), support for *BSD OSs is limited. I.e. the new monitoring agent only works on Linux.
  • There are no regions available on South America.
  • They don't seem to offer enterprise-level products, even basic ones as Windows Server, MS SQL Server, Oracle products, etc.
Read full review
Microsoft
  • The cost of resources is difficult to determine, technical documentation is frequently out of date, and documentation and mapping capabilities are lacking.
  • The documentation needs to be improved, and some advanced configuration options require research and experimentation.
  • Microsoft's licensing scheme is too complex for the average user, and Azure SQL syntax is too different from traditional SQL.
Read full review
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
Read full review
DigitalOcean
I've been very happy with it for my purposes and I plan to continue to use DigitalOcean for the foreseeable future!
Read full review
Microsoft
Moving to Azure was and still is an organizational strategy and not simply changing vendors. Our product roadmap revolved around Azure as we are in the business of humanitarian relief and Azure and Microsoft play an important part in quickly and efficiently serving all of the world. Migration and investment in Azure should be considered as an overall strategy of an organization and communicated companywide.
Read full review
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.
Read full review
DigitalOcean
I honestly can't think of an easier way to set up and maintain your own server. Being able to set up a server in minutes and have fully control is awesome. The UX is incredibly intuitive for first-time users as well so there's no reason to be intimidated when it comes to giving DigitalOcean a shot.
Read full review
Microsoft
As Microsoft Azure is [doing a] really good with PaaS. The need of a market is to have [a] combo of PaaS and IaaS. While AWS is making [an] exceptionally well blend of both of them, Azure needs to work more on DevOps and Automation stuff. Apart from that, I would recommend Azure as a great platform for cloud services as scale.
Read full review
Reliability and Availability
Apache
No answers on this topic
DigitalOcean
Have not found a single second of down time myself. Superior availability.
Read full review
Microsoft
It has proven to be unreliable in our production environment and services become unavailable without proper notification to system administrators
Read full review
Performance
Apache
No answers on this topic
DigitalOcean
Very quick response and high performance, you have to fine tune configurations on your machines though.
Read full review
Microsoft
No answers on this topic
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.
Read full review
DigitalOcean
They have always been fast, and the process has been straight-forward. I haven't had to use it enough to be frustrated with it, to be honest, and when I have an issue they fix it. As with all support, I wish it felt more human, but they are doing aces.
Read full review
Microsoft
We were running Windows Server and Active Directory, so [Microsoft] Azure was a seamless transition. We ran into a few, if any support issues, however, the availability of Microsoft Azure's support team was more than willing and able to guide us through the process. They even proposed solutions to issues we had not even thought of!
Read full review
Online Training
Apache
Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.
Read full review
DigitalOcean
No answers on this topic
Microsoft
No answers on this topic
Implementation Rating
Apache
No answers on this topic
DigitalOcean
No answers on this topic
Microsoft
As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.
Read full review
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.
Read full review
DigitalOcean
DigitalOcean is an inexpensive product as compared to other products available in the market. The UI is easy and the beginner can also understand the UI with the step by step guide. It provides a lot of custom features and the user needs to pay only for what they are using. Amazon has a complex UI and is on the expensive side. DigitalOcean is simple to use and is easily manageable and the servers can easily be set up without additional cost and such.
Read full review
Microsoft
As I continue to evaluate the "big three" cloud providers for our clients, I make the following distinctions, though this gap continues to close. AWS is more granular, and inherently powerful in the configuration options compared to [Microsoft] Azure. It is a "developer" platform for cloud. However, Azure PowerShell is helping close this gap. Google Cloud is the leading containerization platform, largely thanks to it building kubernetes from the ground up. Azure containerization is getting better at having the same storage/deployment options.
Read full review
Scalability
Apache
No answers on this topic
DigitalOcean
Great scalability, you can start with small plans and move up to premium features at a very good price.
Read full review
Microsoft
No answers on this topic
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.
Read full review
DigitalOcean
  • Positive - Elastic computer instances make it possible to pay for only for what you need.
  • Positive - Competitive pricing - some of the products that DigitalOcean offers are much cheaper than those offered by competitors.
  • Negative - Having to go to other cloud computing platforms for more specific, advanced services like Computer Vision optimized services, GPU cloud compute instances, etc...
Read full review
Microsoft
  • For about 2 years we didn't have to do anything with our production VMs, the system ran without a hitch, which meant our engineers could focus on features rather than infrastructure.
  • DNS management was very easy in Azure, which made it easy to upgrade our cluster with zero downtime.
  • Azure Web UI was easy to work with and navigate, which meant our senior engineers and DevOps team could work with Azure without formal training.
Read full review
ScreenShots