45 Ratings
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Score 9.1 out of 100
38 Ratings
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Score 8.6 out of 100

Attribute Ratings

  • Cloudera Enterprise Data Hub is rated higher in 1 area: Likelihood to Recommend

Likelihood to Recommend

9.0

Cloudera Enterprise Data Hub

90%
12 Ratings
8.7

IBM Analytics Engine

87%
10 Ratings

Likelihood to Renew

8.2

Cloudera Enterprise Data Hub

82%
7 Ratings

IBM Analytics Engine

N/A
0 Ratings

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

IBM Analytics Engine

  • Well suited for my big data related project or a static data set analysis especially for uploading huge dataset to the cluster.
  • But had some issues with connecting IoT real-time data and feeding to Power BI. It might be my understanding please take it as a mere comment rather than a suggestion.
Prasanna Nattuthurai | 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

IBM Analytics Engine

  • It integrates easily with other IBM Watson Data Platform services thus improving collaboration.
  • The use of object storage helps to protect data and improve availability.
  • Users can spin up Hadoop and Spark clusters within minutes and manage them from a single point of control.
Christopher Parker | 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

IBM Analytics Engine

  • I find most of the functions user friendly and most importantly best fits in multi business setup and users easily adapt to the system. Also, you get a lot done in a very short period of time.
Anonymous | 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

IBM Analytics Engine

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

IBM Analytics Engine

No score
No answers yet
No answers on this topic

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

IBM Analytics Engine

IBM Analytics is a great tool and a welcome addition to your overall IBM strategy. I think in cases of tools like this, you either go with what your platform works best with or you go completely different with a 3rd party, like Snowflake. We are an Azure shop and just happened to have a division on IBM and wanted to give it a try. Performance-wise it stacks up against the other platform-specific tools, so you should feel comfortable when your data strategy tips in favor of needing more organization.
Anonymous | 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

IBM Analytics Engine

  • The cost to implement was definitely a plus when it came to choosing the IBM Analytics Engine.
  • While sufficient, the overall support received from IBM was less than that for which we had planned.
  • We were able to separate storage and computing while paving the way for easier cluster administration.
Anonymous | TrustRadius Reviewer

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