Cloudera Data Platform vs. Hugging Face vs. Oracle Autonomous Data Warehouse

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Cloudera Data Platform
Score 7.0 out of 10
N/A
Cloudera Data Platform (CDP), launched September 2019, is designed to combine the best of Hortonworks and Cloudera technologies to deliver an enterprise data cloud. CDP includes the Cloudera Data Warehouse and machine learning services as well as a Data Hub service for building custom business applications.
$0.04
per CCU (hourly rate)
Hugging Face
Score 9.9 out of 10
N/A
Hugging Face is an open-source provider of natural language processing (NLP) technologies.
$9
per month
Oracle Autonomous Data Warehouse
Score 8.3 out of 10
N/A
Oracle Autonomous Data Warehouse is optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can discover business insights using data of any size and type. The solution is built for the cloud and optimized using Oracle Exadata.N/A
Pricing
Cloudera Data PlatformHugging FaceOracle Autonomous Data Warehouse
Editions & Modules
CDP Public Cloud - Data Hub
$0.04
per CCU (hourly rate)
CDP Public Cloud - Data Warehouse
$0.054
per CCU (hourly rate)
CDP Public Cloud - Data Engineering
$0.07
per CCU (hourly rate)
CDP Public Cloud - Operational Database
$0.08
per CCU (hourly rate)
CDP Public Cloud - Flow Management
$0.15
per CCU (hourly rate)
CDP Public Cloud - Machine Learning
$0.17
per CCU (hourly rate)
CDP Private Cloud - Plus Edition
$400
CCU (annual subscription)
CDP Private Cloud - Base Edition
$10,000.00
node + variable (annual subscription)
Pro Account
$9
per month
Enterprise Hub
$20
per month per user
No answers on this topic
Offerings
Pricing Offerings
Cloudera Data PlatformHugging FaceOracle Autonomous Data Warehouse
Free Trial
NoNoNo
Free/Freemium Version
NoYesNo
Premium Consulting/Integration Services
NoNoNo
Entry-level Setup FeeNo setup feeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Cloudera Data PlatformHugging FaceOracle Autonomous Data Warehouse
Best Alternatives
Cloudera Data PlatformHugging FaceOracle Autonomous Data Warehouse
Small Businesses
Google BigQuery
Google BigQuery
Score 8.8 out of 10
InterSystems IRIS
InterSystems IRIS
Score 7.9 out of 10
Google BigQuery
Google BigQuery
Score 8.8 out of 10
Medium-sized Companies
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Posit
Posit
Score 10.0 out of 10
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Enterprises
Oracle Exadata
Oracle Exadata
Score 9.8 out of 10
Posit
Posit
Score 10.0 out of 10
Oracle Exadata
Oracle Exadata
Score 9.8 out of 10
All AlternativesView all alternativesView all alternativesView all alternatives
User Ratings
Cloudera Data PlatformHugging FaceOracle Autonomous Data Warehouse
Likelihood to Recommend
7.0
(1 ratings)
9.4
(6 ratings)
8.9
(32 ratings)
Likelihood to Renew
-
(0 ratings)
-
(0 ratings)
8.0
(1 ratings)
Support Rating
8.0
(1 ratings)
-
(0 ratings)
-
(0 ratings)
Implementation Rating
-
(0 ratings)
-
(0 ratings)
9.0
(1 ratings)
User Testimonials
Cloudera Data PlatformHugging FaceOracle Autonomous Data Warehouse
Likelihood to Recommend
Cloudera
I have seen that Cloudera Data Platform is well suited for large batch processes. It works really well for our indication analyses that are performed by the actuaries. I feel that rapid streaming operations may be a situation where additional technology would be needed to provide for a robust solution.
Read full review
Hugging Face
If an organisation has more access to data and have access to high end computers like GPUs it’s recommended to use Hugging face as it will give better accuracy than any other models. If an organisation having less data and has less access to GPUsis looking for decent performance then traditional algorithms are more appropriate than hugging face
Read full review
Oracle
II would recommend Oracle Autonomous Data Warehouse to someone looking to fully automate the transferring of data especially in a warehouse scenario though I can see the elasticity of the suite that is offered and can see it is applicable in other scenarios not just warehouses.
Read full review
Pros
Cloudera
  • Scales
  • Highly available
Read full review
Hugging Face
  • Model APIs
  • Hugging Face Spaces for deploying demo apps
  • Latest updated models available easily
  • Vast support for language parsing and other relevant tasks
Read full review
Oracle
  • Very easy and fast to load data into the Oracle Autonomous Data Warehouse
  • Exceptionally fast retrieval of data joining 100 million row table with a billion row table plus the size of the database was reduced by a factor of 10 due to how Oracle store[s] and organise[s] data and indexes.
  • Flexibility with scaling up and down CPU on the fly when needed, and just stop it when not needed so you don't get charged when it is not running.
  • It is always patched and always available and you can add storage dynamically as you need it.
Read full review
Cons
Cloudera
  • Constantly changing costs
  • Log visibility
Read full review
Hugging Face
  • Most of the Hugging face models are of big size, hence difficult to work if there is no access to high computational system like GPU.
  • It’s good to have some visualization tool in hugging face for viewing model architecture.
  • I recommend to implement hugging face lite version so that it can run on any system with less specifications.
Read full review
Oracle
  • It is very expensive product. But not to mention, there's good reasons why it is expensive.
  • The product should support more cloud based services. When we made the decision to buy the product (which was 20 years ago,) there was no such thing to consider, but moving to a cloud based data warehouse may promise more scalability, agility, and cost reduction. The new version of Data Warehouse came out on the way, but it looks a bit behind compared to other competitors.
  • Our healthcare data consists of 30% coded data (such as ICD 10 / SNOMED C,T) but the rests is narrative (such as clinical notes.). Oracle is the best for warehousing standardized data, but not a good choice when considering unstructured data, or a mix of the two.
Read full review
Likelihood to Renew
Cloudera
No answers on this topic
Hugging Face
No answers on this topic
Oracle
Because
  • It is really simple to provision and configure.
  • Does not require continous attention from the DBA, autonomous features allows the database to perform most of the regular admin tasks without need for human intervention.
  • Allows to integrate multiple data sources on a central data warehouse, and explode the information stored with different analytic and reporting tools.
Read full review
Support Rating
Cloudera
We have utilized Cloudera support quite frequently and are very satisfied with the capability and responsiveness of that team. Often, the new features delivered with the platform give us an opportunity to mature the way we're doing things, and the support team have been valuable in developing those new patterns.
Read full review
Hugging Face
No answers on this topic
Oracle
No answers on this topic
Implementation Rating
Cloudera
No answers on this topic
Hugging Face
No answers on this topic
Oracle
Understanding Oracle Cloud Infrastructure is really simple, and Autonomous databases are even more. Using shared or dedicated infrastructure is one of the few things you need to consider at the moment of starting provisioning your Oracle Autonomous Data Warehouse.
Read full review
Alternatives Considered
Cloudera
IBM's offering of the Cloud Pak for Data has been a moving target and difficult to compare to Cloudera Data Platform. We have implemented our solution on Amazon Web Services, which appears to be supported by IBM at this point, but the migration would be very expensive for us to endeavor.
Read full review
Hugging Face
There are some other services offer similar capacity as to Hugging Face, but not entirely the same. For example, amazon web services have a machine learning service called Comprehend, which offer a set of easy to use APIs to do machine translation and entity recognition and some other common NLP use case.
Read full review
Oracle
As I mentioned, I have also worked with Amazon Redshift, but it is not as versatile as Oracle Autonomous Data Warehouse and does not provide a large variety of products. Oracle Autonomous Data Warehouse is also more reliable than Amazon Redshift, hence why I have chosen it
Read full review
Return on Investment
Cloudera
  • Reduced operational costs
  • Speed to market
Read full review
Hugging Face
  • Hugging Face is cost and time saving.
  • Pay is less, you pay what you use, doesn't affect much.
  • Overall positive impact on business.
Read full review
Oracle
  • Overall the business objective of all of our clients have been met positively with Oracle Data Warehouse. All of the required analysis the users were able to successfully carry out using the warehouse data.
  • Using a 3-tier architecture with the Oracle Data Warehouse at the back end the mid-tier has been integrated well. This is big plus in providing the necessary tools for end users of the data warehouse to carry out their analysis.
  • All of the various BI products (OBIEE, Cognos, etc.) are able to use and exploit the various analytic built-in functionalities of the Oracle Data Warehouse.
Read full review
ScreenShots

Hugging Face Screenshots

Screenshot of