Cloudera Data Platform vs. Google BigQuery

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Cloudera Data Platform
Score 6.7 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)
Google BigQuery
Score 8.7 out of 10
N/A
Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.
$0
per month
Pricing
Cloudera Data PlatformGoogle BigQuery
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)
Standard edition
$0.04 / slot hour
Enterprise edition
$0.06 / slot hour
Enterprise Plus edition
$0.10 / slot hour
Offerings
Pricing Offerings
Cloudera Data PlatformGoogle BigQuery
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Cloudera Data PlatformGoogle BigQuery
Considered Both Products
Cloudera Data Platform

No answer on this topic

Google BigQuery
Chose Google BigQuery
Google BigQuery needs minimal setup to get it up and running while Amazon Redshift and Oracle Analytics Cloud need moderate expertise and time to load a data set and run a query. Hadoop (open source) and its commercial version Cloudera do not provide a full out of the box …
Top Pros
Top Cons
Features
Cloudera Data PlatformGoogle BigQuery
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Cloudera Data Platform
-
Ratings
Google BigQuery
8.4
30 Ratings
3% below category average
Automatic software patching00 Ratings8.117 Ratings
Database scalability00 Ratings8.830 Ratings
Automated backups00 Ratings8.524 Ratings
Database security provisions00 Ratings8.924 Ratings
Monitoring and metrics00 Ratings7.726 Ratings
Automatic host deployment00 Ratings8.113 Ratings
Best Alternatives
Cloudera Data PlatformGoogle BigQuery
Small Businesses
Google BigQuery
Google BigQuery
Score 8.7 out of 10
IBM Cloudant
IBM Cloudant
Score 9.5 out of 10
Medium-sized Companies
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
IBM Cloudant
IBM Cloudant
Score 9.5 out of 10
Enterprises
Oracle Exadata
Oracle Exadata
Score 8.1 out of 10
IBM Cloudant
IBM Cloudant
Score 9.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Cloudera Data PlatformGoogle BigQuery
Likelihood to Recommend
7.0
(1 ratings)
8.6
(30 ratings)
Usability
-
(0 ratings)
9.4
(3 ratings)
Support Rating
8.0
(1 ratings)
10.0
(9 ratings)
Contract Terms and Pricing Model
-
(0 ratings)
10.0
(1 ratings)
Professional Services
-
(0 ratings)
8.2
(2 ratings)
User Testimonials
Cloudera Data PlatformGoogle BigQuery
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
Google
One of the most important aspects while working with data warehousing solutions and analytics is the ability to handle large datasets. Google BigQuery is the best in business for that particular aspect. It is ridiculously fast while handling large data sets. Another aspect where it is well suited is the ability to integrate it with data visualization tools like Data Studio. It is fast, easy to use, and very reliable. The only aspect where I feel it is less appropriate where you have to pay more of inefficient scripts and that can hamper the growth of the company a bit.
Read full review
Pros
Cloudera
  • Scales
  • Highly available
Read full review
Google
  • BigQuery is ridiculously fast and has the ability to query absurdly large data sets to return results immediately.
  • BigQuery allows for storage of a massive amount of data for relatively low prices.
  • Easy to learn. BiqQuery uses SQL-like queries and is easy to transfer your existing skills to use.
Read full review
Cons
Cloudera
  • Constantly changing costs
  • Log visibility
Read full review
Google
  • One issue with Google Cloud Storage is its price. For one to have that premium Google Cloud Storage, for the purpose of massive storage, he/she must have adequate cash. Otherwise, Google Cloud Storage is a safe and perfect online storage platform.
  • The only thing that can come to mind that would be annoying with this software was that sometimes when trying to share files on the Cloud with coworkers, it would just not share at all, or there would be a massive delay in when I shared them and when they received them. Other than that though, everything is perfect with this.
Read full review
Usability
Cloudera
No answers on this topic
Google
web UI is easy and convenient. Many RDBMS clients such as aqua data studio, Dbeaver data grid, and others connect. Range of well-documented APIs available. The range of features keeps expanding, increasing similar features to traditional RDBMS such as Oracle and DB2
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
Google
It’s Google, they’re big and well organized, the documentation is abundant and the scalability is amazing. The UX is good too, considering it’s a professional tool expected to be used by people with a specific technical background. Overall, it makes me feels good and secure that we know where to store the data, how to use that data and that the data is handled with utmost security and performance practices.
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
Google
Spinning up, provisioning, maintaining and debugging a Hadoop solution can be non-trivial, painful. I'm talking about both GCE based or HDInsight clusters. It requires expertise (+ employee hire, costs). With BigQuery if someone has a good SQL knowledge (and maybe a little programming), can already start to test and develop. All of the infrastructure and platform services are taken care of. Google BigQuery is a magnitudes simpler to use than Hadoop, but you have to evaluate the costs. BigQuery billing is dependent on your data size and how much data your query touches.
Read full review
Contract Terms and Pricing Model
Cloudera
No answers on this topic
Google
None so far. Very satisfied with the transparency on contract terms and pricing model.
Read full review
Professional Services
Cloudera
No answers on this topic
Google
Google Support has kindly provide individual support and consultants to assist with the integration work. In the circumstance where the consultants are not present to support with the work, Google Support Helpline will always be available to answer to the queries without having to wait for more than 3 days.
Read full review
Return on Investment
Cloudera
  • Reduced operational costs
  • Speed to market
Read full review
Google
  • Google BigQuery has had enormous impact in terms of ROI to our business, as it has allowed us to ease our dependence on our physical servers, which we pay for monthly from another hosting service. We have been able to run multiple enterprise scale data processing applications with almost no investment
  • Since our business is highly client focused, Google Cloud Platform, and BigQuery specifically, has allowed us to get very granular in how our usage should be attributed to different projects, clients, and teams.
  • Plain and simple, I believe the meager investments that we have made in Google BigQuery have paid themselves back hundreds of times over.
Read full review
ScreenShots