Hortonworks Data Platform (HDP) is an open source framework for distributed storage and processing of large, multi-source data sets. HDP modernizes IT infrastructure and keeps data secure—in the cloud or on-premises—while helping to drive new revenue streams, improve customer experience, and control costs.
Hortonworks merged with Cloudera in eary 2019.
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SAP HANA Cloud
Score 8.9 out of 10
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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.
I recommend [Hortonworks Data Platform] as Big Data platform in order to start your developments. It's free. It's easy to use. You can install in more server or use a sandbox with you favorite virtualization platform ( vmware or oracle virtualbox). There is also a containerized version.
Manage our data in hdfs is simple; you can interact with server with REST API.
SAP HANA Cloud works effectively with SMBs or small to medium-sized enterprises and requires an affordable, scalable ERP system. Companies that must implement SAP S/4 HANA as soon as possible. Companies looking to take advantage of the newest innovation from SAP are looking to cut expenses on their IT infrastructure. SAP HANA CLOUD is not suitable for 1. Large companies with intricate operational procedures. 2. Companies with stringent policies regarding data residency. 3. Businesses with a sizable SAP landscape on premises 4. Companies must closely integrate SAP HANA CLOUD with non-SAP systems.
As an open source project collection, it relies strongly on community activity. You still have the option to contract premium consulting or training services.
Altough it is quickly evolving into Data Science tools availability (eg. Tensorflow incorporate in HDP 3), it can be cumbersome from a developer transitioning from a traditional IDE, into the notebook vs. datalake metaphore.
As expected for a big data infranstructure, the resource requirements base line is rather high. This means that if used on premise, you need to think of about 10 machines for a minimal reasonable deploy.
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
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
SAP HANA Cloud requires significant expertise on technical side to admin and manage it.It surely is lot of improvement over previous versions of SAPThe modern, role-based SAP Fiori interface has enhanced the user experience for applications like S/4HANA, though the complexity of the underlying database remains. For the average business user, the usability of SAP solutions running on the HANA database has seen a major transformation, largely thanks to the Fiori user interface.
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.
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.
While Apache Hadoop is completely open sourced, Hortonworks Data Platform offers support as well as keeps pace with the open source versions. Also, the HDP open sources its own products, thus giving back to the community. I find using the Hortonworks Data Platform more intuitive than Cloudera or MapR versions.
It enables preview and better cloud service than other cloud platforms. Easy document transfer and faster document transfer are the key points for the selection of the HANA cloud server. The preview of data before its execution is also one of the factors in the selection of the HANA server.
It provides a convenient way of quickly setting up a big data environment, easily setting up clusters with different configurations. It provides several security architectures that can be used as well. Since it provides a big list of components and packaged together, it is a great tool for companies to get set and utilize it for their use cases.
Since it uses Ambari extensively to install, upgrade and manage software, it is very convenient and easy to support and operationalize the components. Alerting and notifications, ability to create custom alerts give you the capability to add any number of alerts to meet your custom needs. It provides a great way to maintain other software by creating mpacks and the ability to add custom code, and you can add other software to be managed in a centralized tool.
The use and support of popular and useful open source software and the company's contribution to the community makes HDP a very useful tool that enables a quick, secure, easily maintainable suite of components that can help companies meet the needs of the business. What is great is that new components keep getting added based on any new useful tool that comes available, like Druid, and made available as part of the suite of components. That helps businesses keep up with new capabilities as they become available, and use them to solve their problems.
