What users are saying about
45 Ratings
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Score 9.1 out of 100
8 Ratings
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Score 6.3 out of 100

Feature Set Ratings

    NoSQL Databases

    Cloudera Enterprise Data Hub

    Feature Set Not Supported
    N/A
    8.3

    Qubole

    83%
    Qubole ranks higher in 7/7 features

    Performance

    N/A
    0 Ratings
    7.0
    70%
    1 Rating

    Availability

    N/A
    0 Ratings
    6.0
    60%
    1 Rating

    Concurrency

    N/A
    0 Ratings
    8.0
    80%
    1 Rating

    Security

    N/A
    0 Ratings
    7.0
    70%
    1 Rating

    Scalability

    N/A
    0 Ratings
    10.0
    100%
    1 Rating

    Data model flexibility

    N/A
    0 Ratings
    10.0
    100%
    1 Rating

    Deployment model flexibility

    N/A
    0 Ratings
    10.0
    100%
    1 Rating

    Attribute Ratings

    • Cloudera Enterprise Data Hub is rated higher in 2 areas: Likelihood to Recommend, Likelihood to Renew

    Likelihood to Recommend

    9.0

    Cloudera Enterprise Data Hub

    90%
    12 Ratings
    8.0

    Qubole

    80%
    1 Rating

    Likelihood to Renew

    8.2

    Cloudera Enterprise Data Hub

    82%
    7 Ratings
    6.0

    Qubole

    60%
    1 Rating

    Likelihood to Recommend

    Cloudera Enterprise Data Hub

    Cloudera excels at seamless migrations and upgrades.



    Cloudera supports self-healing and data center
    replacement of failed cloud instances while maintaining the state.



    Cloudera is essential to increase or decrease
    capacity through the user interface or API.



    Cloudera is great at simplifying big data analytics
    by providing the technology and tools needed to gain insights from IoT and
    connected devices to help monitor and condition our assets.



    Cloudera's cybersecurity platform option offers
    stronger anomaly detection, visibility, and prevention, as well as faster
    behavioral analysis.



    Cloudera is beneficial for enabling and utilizing
    the platform's machine learning and ad-hoc queries while securely storing,
    retrieving, and analyzing any volume of data at scale.
    Rober Thendrickson | TrustRadius Reviewer

    Qubole

    I find Qubole is well suited for getting started analyzing data in the cloud without being locked in to a specific cloud vendor's tooling other than the underlying filesystem. Since the data itself is not isolated to any Qubole cluster, it can be easily be collected back into a cloud-vendor's specific tools for further analysis, therefore I find it complementary to any offerings such as Amazon EMR or Google DataProc.
    Jordan Moore | TrustRadius Reviewer

    Pros

    Cloudera Enterprise Data Hub

    • Excellent management capabilities via Cloudera Manager.
    • Open source and does not restrict our data to be bound by a proprietary format.
    • Offers excellent support for data governance and auditing.
    • Has all the components that would help us build a data hub.
    • Excellent platform support offered by Cloudera.
    Rakesh Neelavar Rao | TrustRadius Reviewer

    Qubole

    • From a UI perspective, I find Qubole's closest comparison to Cloudera's HUE; it provides a one-stop shop for all data browsing and querying needs.
    • Auto scaling groups and auto-terminating clusters provides cost savings for idle resources.
    • Qubole fits itself well into the open-source data science market by providing a choice of tools that aren't tied to a specific cloud vendor.
    Jordan Moore | TrustRadius Reviewer

    Cons

    Cloudera Enterprise Data Hub

    • Not fully Open Source, couple of components of the distributions are privately owned, meaning with public contributions are not welcome
    • Improvements to Cloudera manager can only be recommended. its very hard to get it done once recommended as the full control is with them.
    • Should make components more aligned to Open Source rather than making it closed sourced.
    • Custom Features of open source software tools supported only by Cloudera are tricky. Cant commit changes to tools like Hue.
    • Improvements to Cluster Management tool is required, which are already available to its competitors.
    Anonymous | TrustRadius Reviewer

    Qubole

    • Providing an open selection of all cloud provider instance types with no explanation as to their ideal use cases causes too much confusion for new users setting up a new cluster. For example, not everyone knows that Amazon's R or X-series models are memory optimized, while the C and M-series are for general computation.
    • I would like to see more ETL tools provided other than DistCP that allow one to move data between Hadoop Filesystems.
    • From the cluster administration side, onboarding of new users for large companies seems troublesome, especially when trying to create individual cluster per team within the company. Having the ability to debug and share code/queries between users of other teams / clusters should also be possible.
    Jordan Moore | TrustRadius Reviewer

    Pricing Details

    Cloudera Enterprise Data Hub

    General

    Free Trial
    Free/Freemium Version
    Yes
    Premium Consulting/Integration Services
    Entry-level set up fee?
    No

    Starting Price

    Qubole

    General

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services
    Entry-level set up fee?
    No

    Starting Price

    Likelihood to Renew

    Cloudera Enterprise Data Hub

    Cloudera Enterprise Data Hub 8.2
    Based on 7 answers
    Likely to renew the use in case the requirements for Cloudera remain valid. The rapid change in customer requirements and solutions that must be validated, integrated or tested changes. As the maturity of the solution increases, the requirements to renew use decrease. From a solution feature perspective by itself would probably grade 10.
    Anonymous | TrustRadius Reviewer

    Qubole

    Qubole 6.0
    Based on 1 answer
    Personally, I have no issues using Amazon EMR with Hue and Zeppelin, for example, for data science and exploratory analysis. The benefits to using Qubole are that it offers additional tooling that may not be available in other cloud providers without manual installation and also offers auto-terminating instances and scaling groups.
    Jordan Moore | TrustRadius Reviewer

    Alternatives Considered

    Cloudera Enterprise Data Hub

    Cloudera is
    compatible with Windows operating systems, and Mac allows cloud-based
    deployment, it is also very useful to configure data encryption, guarantee
    protocols, and security policies. It also provides integrated auditing and
    monitoring capabilities, as well as a control comprehensive data repository for
    the enterprise, and ensures vendor compatibility through its open-source
    architecture.
    Loam Diaconu | TrustRadius Reviewer

    Qubole

    Qubole was decided on by upper management rather than these competitive offerings. I find that Databricks has a better Spark offering compared to Qubole's Zeppelin notebooks.
    Jordan Moore | TrustRadius Reviewer

    Return on Investment

    Cloudera Enterprise Data Hub

    • Cloudera products are the most widely. It is more business friendly as data is more secure. The sensitive data that you operate on is local to you and your project rather than processing this data on Cloud.
    • Cloudera is definitely faster as wait time is reduced if on Cloud.
    • A lot range of products are covered. So it is definitely good for businesses and had good returns on investments.
    Anonymous | TrustRadius Reviewer

    Qubole

    • We like to say that Qubole has allowed for "data democratization", meaning that each team is responsible for their own set of tooling and use cases rather than being limited by versions established by products such as Hortonworks HDP or Cloudera CDH
    • One negative impact is that users have over-provisioned clusters without realizing it, and end up paying for it. When setting up a new cluster, there are too many choices to pick from, and data scientists may not understand the instance types or hardware specs for the datasets they need to operate on.
    Jordan Moore | TrustRadius Reviewer

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