Apache Hadoop vs. SAP HANA Cloud

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Hadoop
Score 6.9 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
SAP HANA Cloud
Score 8.7 out of 10
N/A
SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk which means that the data can be accessed in real time by the applications using HANA. The product is sold both as an appliance and as a cloud-based software solution.
$0.95
per month Capacity Units
Pricing
Apache HadoopSAP HANA Cloud
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
HadoopSAP HANA Cloud
Free Trial
NoYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional DetailsIncludes a one year free trial.
More Pricing Information
Community Pulse
Apache HadoopSAP HANA Cloud
Considered Both Products
Hadoop

No answer on this topic

SAP HANA Cloud
Chose SAP HANA Cloud
We went with SAP HANA for support and good integration.
Chose SAP HANA Cloud
We compared Microsoft BI with SAP HANA. The reasons to go with SAP HANA were - 1. ability to ingest data into HANA from a non SAP database 2. in-memory database resulting in faster real time analytics 3. ability to scale up 4. ability to replicate data real time 5. very solid …
Chose SAP HANA Cloud
HADOOP.- HADOOP is open source and its does not integrate well with SAP
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Best Alternatives
Apache HadoopSAP HANA Cloud
Small Businesses

No answers on this topic

SingleStore
SingleStore
Score 8.9 out of 10
Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
SingleStore
SingleStore
Score 8.9 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 8.5 out of 10
SAP IQ
SAP IQ
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache HadoopSAP HANA Cloud
Likelihood to Recommend
8.9
(36 ratings)
8.7
(293 ratings)
Likelihood to Renew
9.6
(8 ratings)
9.1
(6 ratings)
Usability
8.5
(5 ratings)
9.1
(10 ratings)
Availability
-
(0 ratings)
3.6
(1 ratings)
Performance
8.0
(1 ratings)
3.6
(1 ratings)
Support Rating
7.5
(3 ratings)
8.6
(253 ratings)
Online Training
6.1
(2 ratings)
-
(0 ratings)
Implementation Rating
-
(0 ratings)
9.1
(2 ratings)
Configurability
-
(0 ratings)
3.6
(1 ratings)
Ease of integration
-
(0 ratings)
4.5
(1 ratings)
Product Scalability
-
(0 ratings)
4.5
(1 ratings)
Vendor post-sale
-
(0 ratings)
4.5
(1 ratings)
Vendor pre-sale
-
(0 ratings)
3.6
(1 ratings)
User Testimonials
Apache HadoopSAP HANA Cloud
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
SAP
It is well organized. One can use it for the company's portfolio management. Various tasks can be done for managerial purposes. One can track the material from start to end product: for example, raw material, packing material & consumable material to formulated bulk and formulated drug product. This can help to manage spending as well as finding costing of the product.
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
SAP
  • Real-time reporting and analytics on data: because of its in-memory architecture, it is perfect for businesses that need to make quick decisions based on current information.
  • Managing workload with complex data: it can handle a vast range of data types, including relational, documental, geospatial, graph, vector, and time series data.
  • Developing and deploying intelligent data applications: it provides various tools for such applications and can be used for machine learning and artificial intelligence to automate tasks, gain insights from data, and make predictions.
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
SAP
  • Requires higher processing power, otherwise it won't fly. How ever computing costs are lower. Incase you are migrating to cloud please do not select the highest config available in that series . Upgrading it later against a reserved instance can cost you dearly with a series change
  • Lack of clarity on licensing is one major challenge
  • Unless S/4 with additional features are enabled mere migration HANA DB is not a rewarding journey. Power is in S/4
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
SAP
At this moment we are not focusing on SAP, however would love to in the future. This is primarily because of our limited ability to generate more revenue to fund for SAP partnerships and products. Our initial tryst with SAP Partneredge open ecosystem didn't go as planned and we have shelved that for now. Hope we can revive in the future
Read full review
Usability
Apache
Great! Hadoop has an easy to use interface that mimics most other data warehouses. You can access your data via SQL and have it display in a terminal before exporting it to your business intelligence platform of choice. Of course, for smaller data sets, you can also export it to Microsoft Excel.
Read full review
SAP
In addition to the points described in the previous parts of the review, I believe that as I gain more experience with the product over time, I will be able to better describe my experience with this tool. Meanwhile, I can confirm that the possibilities presented to my organization by the change to SAP HANA, at the moment, have been very important to evolve the analytical and strategic field towards a new path.
Read full review
Support Rating
Apache
We went with a third party for support, i.e., consultant. Had we gone with Azure or Cloudera, we would have obtained support directly from the vendor. my rating is more on the third party we selected and doesn't reflect the overall support available for Hadoop. I think we could have done better in our selection process, however, we were trying to use an already approved vendor within our organization. There is plenty of self-help available for Hadoop online.
Read full review
SAP
One specific example of how the support for SAP HANA Cloud impacted us is in our efforts to troubleshoot and resolve technical issues. Whenever we encountered an issue or had a question, the support team was quick to respond and provided us with clear and actionable guidance. This helped us avoid downtime and keep our analytics operations running smoothly.
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
SAP
No answers on this topic
Implementation Rating
Apache
No answers on this topic
SAP
Professional GIS people are some of the most risk-averse there are, and it's difficult to get them to move to HANA in one step. Start with small projects building to 80% use of HANA spatial over time.
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
SAP
I have deep knowledge of other disk based DBMSs. They are venerable technology, but the attempts to extend them to current architectures belie the fact they are built on 40 year old technology. There are some good columnar in-memory databases but they lack the completeness of capability present in the HANA platform.
Read full review
Scalability
Apache
No answers on this topic
SAP
Limitation of training deliverable by organization
Read full review
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
SAP
  • ROI has always been high in terms of the functionality that it offers and the security features it comes with.
  • Managing large volumes of data in real-time is not an easy task, but it does it pretty well with faster data processing.
Read full review
ScreenShots