Likelihood to Recommend 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.
Read full review K8s should be avoided - If your application works well without being converted into microservices-based architecture & fits correctly in a VM, needs less scaling, have a fixed traffic pattern then it is better to keep away from Kubernetes. Otherwise, the operational challenges & technical expertise will add a lot to the OPEX. Also, if you're the one who thinks that containers consume fewer resources as compared to VMs then this is not true. As soon as you convert your application to a microservice-based architecture, a lot of components will add up, shooting your resource consumption even higher than VMs so, please beware. Kubernetes is a good choice - When the application needs quick scaling, is already in microservice-based architecture, has no fixed traffic pattern, most of the employees already have desired skills.
Read full review Pros 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. Read full review Complex cluster management can be done with simple commands with strong authentication and authorization schemes Exhaustive documentation and open community smoothens the learning process As a user a few concepts like pod, deployment and service are sufficient to go a long way Read full review Cons 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. Read full review Local development, Kubernetes does tend to be a bit complicated and unnecessary in environments where all development is done locally. The need for add-ons, Helm is almost required when running Kubernetes. This brings a whole new tool to manage and learn before a developer can really start to use Kubernetes effectively. Finicy configmap schemes. Kubernetes configmaps often have environment breaking hangups. The fail safes surrounding configmaps are sadly lacking. Read full review Implementation Rating Try not to change variable names.
Read full review Alternatives Considered 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
Read full review Most of the required features for any orchestration tool or framework, which is provided by Kubernetes. After understanding all modules and features of the K8S, it is the best fit for us as compared with others out there.
Read full review Return on Investment 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. Read full review Because of microservices, Kubernetes makes it easy to find the cost of each application easily. Like every new technology, initially, it took more resources to educate ourselves but over a period of time, I believe it's going to be worth it. Read full review ScreenShots