Cloudera Enterprise Data Hub vs. Qubole

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Cloudera Enterprise Data Hub
Score 9.0 out of 10
N/A
The Cloudera Enterprise Data Hub powered by SDX is a multifunction analytics solution that supports a range of operational and analytic use cases for enterprises.N/A
Qubole
Score 5.1 out of 10
N/A
Qubole is a NoSQL database offering from the California-based company of the same name.N/A
Pricing
Cloudera Enterprise Data HubQubole
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Cloudera Enterprise Data HubQubole
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Cloudera Enterprise Data HubQubole
Top Pros
Top Cons
Features
Cloudera Enterprise Data HubQubole
NoSQL Databases
Comparison of NoSQL Databases features of Product A and Product B
Cloudera Enterprise Data Hub
-
Ratings
Qubole
8.3
1 Ratings
6% below category average
Performance00 Ratings7.01 Ratings
Availability00 Ratings6.01 Ratings
Concurrency00 Ratings8.01 Ratings
Security00 Ratings7.01 Ratings
Scalability00 Ratings10.01 Ratings
Data model flexibility00 Ratings10.01 Ratings
Deployment model flexibility00 Ratings10.01 Ratings
Best Alternatives
Cloudera Enterprise Data HubQubole
Small Businesses
Google BigQuery
Google BigQuery
Score 8.6 out of 10
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
Medium-sized Companies
Snowflake
Snowflake
Score 9.0 out of 10
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
Enterprises
Oracle Exadata
Oracle Exadata
Score 8.1 out of 10
IBM Cloudant
IBM Cloudant
Score 8.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Cloudera Enterprise Data HubQubole
Likelihood to Recommend
9.0
(12 ratings)
8.0
(1 ratings)
Likelihood to Renew
8.2
(7 ratings)
6.0
(1 ratings)
User Testimonials
Cloudera Enterprise Data HubQubole
Likelihood to Recommend
Cloudera
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.
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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.
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Pros
Cloudera
  • 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.
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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.
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Cons
Cloudera
  • 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.
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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.
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Likelihood to Renew
Cloudera
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.
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Qubole
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.
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Alternatives Considered
Cloudera
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.
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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.
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Return on Investment
Cloudera
  • 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.
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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.
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ScreenShots