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Hortonworks Data Platform (discontinued) vs. Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Hortonworks Data Platform (discontinued)

    Score5 out of 10
    N/AHortonworks Data Platform (HDP) was an open source framework for distributed storage and processing of large, multi-source data sets. Hortonworks merged with Cloudera in eary 2019. Cloudera has since stopped supporting Hortonworks, and it is no longer publicly available for download.N/A

    VMware Tanzu Data Services

    Score6 out of 10
    N/ATanzu Data Services is a family of data-driven solutions built to store, process, and query critical data resources in real-time and at massive scale, both on-premises and in the multi-cloud world.N/A
    Pricing
    Hortonworks Data Platform (discontinued)VMware Tanzu Data Services
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Hortonworks Data Platform (discontinued)VMware Tanzu Data Services
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Best Alternatives
    Hortonworks Data Platform (discontinued)VMware Tanzu Data Services
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    Cloudera Manager (no longer available standalone)
    Score9.9 out of 10
    Cloudera Enterprise Data Hub
    Score9 out of 10
    Enterprises
    Hadoop
    Score7.5 out of 10
    Oracle Exadata
    Score9.8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Hortonworks Data Platform (discontinued)VMware Tanzu Data Services
    Likelihood to Recommend
    7.0
    (9 ratings)
    8.0
    (1 ratings)
    Support Rating
    -
    (0 ratings)
    8.0
    (1 ratings)
    Implementation Rating
    9.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Hortonworks Data Platform (discontinued)VMware Tanzu Data Services
    Likelihood to Recommend
    Discontinued Products
    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.
    Incentivized
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    Broadcom
    If you need to execute ml algorithms, learning techniques, or mathematical calculations on large amounts of heterogeneous data, VMware Tanzu Data Services will be ideal. It will be really simple to set up, particularly if you choose AWS as your integrated cloud provider. However, if you're working with lower data amounts, such as gigabytes, it can be superfluous.
    Incentivized
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    Pros
    Discontinued Products
    • 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.
    Incentivized
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    Broadcom
    • Apache MADlib provides popular machine learning functionality.
    • Allows you to query terabytes of data databases.
    • Interoperability for AWS S3 is effortless.
    Incentivized
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    Cons
    Discontinued Products
    • 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.
    Incentivized
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    Broadcom
    • Running on Azure is a little more difficult.
    • Synchronization with Kafka may be a little easier.
    Incentivized
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    Support Rating
    Discontinued Products
    No answers on this topic
    Broadcom
    They were very helpful. We needed support for initial implementation.
    Incentivized
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    Implementation Rating
    Discontinued Products
    Try not to change variable names.
    Incentivized
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    Broadcom
    No answers on this topic
    Alternatives Considered
    Discontinued Products
    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
    Incentivized
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    Broadcom
    No answers on this topic
    Return on Investment
    Discontinued Products
    • 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.
    Incentivized
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    Broadcom
    • There was a noticeable reduction in system reliability.
    • Saw a reduction in unsuccessful analytics operations.
    Incentivized
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