Cloudera Enterprise Data Hub vs IBM Analytics Engine

Likelihood to Recommend

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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Rober Thendrickson

Agile Developer

Wipro DigitalInformation Technology & Services, 10,001+ employees

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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.

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Prasanna Nattuthurai

Graduate Assistant

California State University-Los AngelesHigher Education, 1001-5000 employees

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Pros

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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Rakesh Neelavar Rao

Sr. Development Engineer - Big Data Platform Architecture

QuaeroMarketing and Advertising, 51-200 employees

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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.

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Christopher Parker

Senior Test Engineer

Vetronix Research CorporationComputer Software, 201-500 employees

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Cons

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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Verified User

Engineer in Information Technology

Computer Software Company, 501-1000 employees

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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.

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Verified User

Director in Professional Services

Executive Office Company, 11-50 employees

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Pricing Details

General

Free Trial

—

Free/Freemium Version

Yes

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

Starting Price

—

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 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.

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Verified User

Team Lead in Professional Services

Computer Networking Company, 10,001+ employees

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No score

No answers yet

No answers on this topic

Alternatives Considered

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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Loam Diaconu

Scrum developer

EndavaInformation Technology & Services, 10,001+ employees

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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.

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Verified User

Manager in Finance and Accounting

Consumer Goods Company, 10,001+ employees

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Return on Investment

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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Verified User

Engineer in Information Technology

Financial Services Company, 10,001+ employees

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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.

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Verified User

Consultant in Information Technology

Information Technology and Services Company, 51-200 employees

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Cloudera Enterprise Data Hub vs IBM Analytics Engine