Cisco Jasper vs. Hortonworks Data Platform (discontinued)

Using Cisco Jasper is suitable for managing large numbers of cellular subscribers where manual management is impossible. If you are a prototype project with dozens of subscribers, it may not be convenient for you to deal with Cisco Jasper and opt for manual management. The use of Cisco Jasper is justified in a production and project monetization environment.

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I find HDP easy to use and solves most of the problems for people looking to manage their big data. Evaluating the Hortonworks Data Platform is easy as it is free to download and install in your cluster. Single node cluster available as Sandbox is also easy for POCs.

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• Device integration
• Connectivity management
• Enterprise-grade solution

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• It does a good job of packaging a lot of big data components into bundles and lets you use the ones you are interested in or need. It supports an extensive list of components which lets us solve many problems.
• It provides the ability to manage installations and maintenance using Apache Ambari. It helps us in using management packs to install/upgrade components easily. It also helps us add, remove components, add, remove hosts, perform upgrades in a convenient manner. It also provides alerts and notifications and monitors the environment.
• What they excel in is packaging open source components that are relevant and are useful to solve and complement each other as well as contribute to enhancing those components. They do a great job in the community to keep on top of what would be useful to users, fixing bugs and working with other companies and individuals to make the platform better.

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• Occasionally, it takes a long time for things to load, but that is just a feature.
• There are a few minor glitches, but nothing that affects usage.
• It was assuring security as a vendor-based solution.

• Since it doesn't come with propriety tools for big data management, additional integration is need (for query handling, search, etc).
• It was very straightforward to store clinical data without relations, such as data from sensors of a medical device. But it has limitations when needed to combine the data with other clinical data in structured format (e.g. lab results, diagnosis).
• Overall look and feel of front-end management tools (e.g. monitoring) are not good. It is not bad but it doesn't look professional.

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Try not to change variable names.

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In our country, the subscriber management platform is not eligible since each cell phone operator opts for a particular brand, that is, we have not had an option, although we have no complaints about the platform, we feel comfortable using it. I know of other management platforms used by other operators and they are really all very well designed, but we all know about CISCO's track record in the market, which adds additional value.

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We chose [Hortonworks Data Platform] because it's free and because [it] was an IBM partner, suggested as big data platform after biginsights platform.

You can install in more physical computer without high specs, then you can use it in order to learn how to deploy, configure a complete big data cluster.

We installed also in a cloud infrastructure of 5 virtual machine

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• We saved an average of 14% on device connectivity costs
• We have an almost 99% uptime thanks to CJ.

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• It is difficult to have a negative impact, because the required investment is not that high.
• The big open community behind Hortonworks and related Apache Project makes it easy to put 'the wheel to meet the road' quite quickly.
• We have seen management meetings where the attendants were impressed by the results achieved with the datalake built on HDP.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info