Cloudera Enterprise Data Hub vs. VMware Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)

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
VMware Tanzu Data Services
Score 8.6 out of 10
N/A
VMware Tanzu Data Services is a portfolio of on-demand caching, messaging, and database software on VMware Tanzu for development teams building modern applications.N/A
Pricing
Cloudera Enterprise Data HubVMware Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Cloudera Enterprise Data HubVMware Tanzu Data Services
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 HubVMware Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
Top Pros
Top Cons
Best Alternatives
Cloudera Enterprise Data HubVMware Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
Small Businesses
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Score 8.7 out of 10
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Score 8.7 out of 10
Medium-sized Companies
Snowflake
Snowflake
Score 9.0 out of 10
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Score 9.0 out of 10
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Oracle Exadata
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Score 9.2 out of 10
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Score 9.2 out of 10
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User Ratings
Cloudera Enterprise Data HubVMware Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
Likelihood to Recommend
9.0
(12 ratings)
8.5
(2 ratings)
Likelihood to Renew
8.2
(7 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
Cloudera Enterprise Data HubVMware Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
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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VMware
VMware Tanzu Data Services will work perfectly well if you need to run machine learning, deep learning or statistical methods on huge workloads of structured, but also unstructured data. It will be super easy to deploy especially if you are using AWS as your Cloud platform provider. On the other hand, it might be an overkill if you are working with smaller data volumes e.g. gigabyte scale.
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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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VMware
  • Apache MADlib provides popular machine learning functionality.
  • Allows you to query terabytes of data databases.
  • Interoperability for AWS S3 is effortless.
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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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VMware
  • Slightly more complicated to run on Azure
  • Integration with Kafka could be more straight forward
  • Extensive support exists only for R and Python
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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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VMware
No answers on this topic
Support Rating
Cloudera
No answers on this topic
VMware
They were very helpful. We needed support for initial implementation.
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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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VMware
According to our assessment VMware Tanzu Data Services is one the most capable and efficient data warehouse solutions. Compared to its competitors it was designed from scratch to support the largest possible business intelligence workloads. The fact that it is based on PostgreSQL open source technology is a huge benefit allowing to avoid vendor lock-in, which is not really feasible for other data warehouse platforms.
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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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VMware
  • There was a noticeable reduction in system reliability.
  • Saw a reduction in unsuccessful analytics operations.
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ScreenShots