Try our new research platform with insights from 80,000+ expert users

Apache HBase vs Cloudera Distribution for Hadoop comparison

Apache and Cloudera are both solutions in the NoSQL Databases category. Apache is ranked #9 with an average rating of 8.3, while Cloudera is ranked #8 with an average rating of 8.4. Apache holds a 5.9% mindshare in ND, compared to Cloudera’s 3.6% mindshare. Additionally, 75% of Apache users are willing to recommend the solution, compared to 92% of Cloudera users who would recommend it.
Apache HBase
Read 4 Apache HBase reviews
  • 1,138 Views
  • 1,092 Comparison Views
75% willing to recommend
Cloudera Distribution for H...
Read 51 Cloudera Distribution for Hadoop reviews
  • 2,315 Views
  • 741 Comparison Views
92% willing to recommend
 

Comparison Buyer's Guide

Download the report
Executive SummaryUpdated on Jan 7, 2025

Cloudera Distribution for Hadoop and Apache HBase compete in the big data landscape, offering complementary data management and NoSQL database solutions. While Cloudera has superior integration capabilities, HBase stands out in high-speed data access and query performance, especially for real-time analytics.

Features: Cloudera Distribution for Hadoop is known for robust data processing, extensive ecosystem support, and ability to enable diverse analytics applications. Apache HBase offers scalability, efficient handling of large datasets, and real-time read/write access, ideal for transactional data processing.

Ease of Deployment and Customer Service: Cloudera provides streamlined deployment through robust tools and professional support, reducing complexities in large-scale implementations. HBase offers simpler deployment but may require additional technical expertise for optimization. Cloudera's customer service is comprehensive, whereas HBase relies on community-based support.

Pricing and ROI: Cloudera Distribution for Hadoop has higher initial setup costs but offers a promising ROI with integrated tools and enterprise-level features, leading to reduced infrastructure costs and enhanced efficiency. Apache HBase, being open-source, offers lower cost barriers, enabling budget savings, though organizations may need to invest in additional resources for support and management.

DOWNLOAD THE COMPLETE REPORT
To learn more, read our detailed Apache HBase vs. Cloudera Distribution for Hadoop Report (Updated: March 2026).
Buyer's Guide
Apache HBase vs. Cloudera Distribution for Hadoop
March 2026
Download the complete report
Helped 884,933 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Apache HBase
Ranking in NoSQL Databases
9th
Average Rating
7.2
Reviews Sentiment
5.1
Number of Reviews
4
Ranking in other categories
No ranking in other categories
Cloudera Distribution for H...
Ranking in NoSQL Databases
8th
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
51
Ranking in other categories
Hadoop (2nd)
 

Mindshare comparison

As of March 2026, in the NoSQL Databases category, the mindshare of Apache HBase is 5.9%, up from 5.1% compared to the previous year. The mindshare of Cloudera Distribution for Hadoop is 3.6%, up from 1.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
NoSQL Databases Mindshare Distribution
ProductMindshare (%)
Cloudera Distribution for Hadoop3.6%
Apache HBase5.9%
Other90.5%
NoSQL Databases
 

Featured Reviews

Ephrem Sisay - PeerSpot reviewer
Ephrem Sisay
Senior Software Engineer at a computer software company with 501-1,000 employees
In-memory processing and integration capabilities have optimized query performance
Apache HBase could be improved by optimizing the integration with Apache Phoenix; sometimes the abstraction and lookup jobs lead to issues when there are too many requests. Resource optimization isn't always as successful as it should be, which can cause some query and lookup jobs to fail. For instance, during eligibility checks for credit, if there are many requests on the database, it might fail, and after such a failure, it doesn't allow us to run queries from the moment they stop. If there could be optimization to require less resource usage and allow those jobs and queries to pick up from where they stopped, that would be a great addition to the tool.
Read full review
SA
Sami Al-Yazidi
Head of Advaced Analytics & Intelligence; AGM at Alinma Bank
Integration of multiple features supports data analytics and processing
Cloudera Distribution for Hadoop provides numerous features and capabilities combined into one platform.The solution offers power processing and supports different file systems and query engines. It provides parallel processing for handling many requests. The platform includes role-based access control in Cloudera Distribution for Hadoop. It secures the data itself and provides users with different roles and privileges.
Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Apache HBase is a database used for data storage."
"The most valuable part is the column family structure."
"The in-memory processing lets us optimize our queries and helps us run concurrent queries and other jobs such as the lookup jobs we always use Apache HBase for."
"The in-memory processing lets us optimize our queries and helps us run concurrent queries and other jobs such as the lookup jobs we always use Apache HBase for."
"The best features of Apache HBase include being embedded, making it very fast; when it's linking, it operates with virtually no delay, and all of the queries are very fast too due to some internal optimization which makes it very sufficient and efficient."
"We were able to utilize data which was untapped previously."
"Implement the free version as it provides enough services."
"Improved Business Intelligence reporting from daily to every two hours satisfying the business stakeholders who would favour transactional systems to draft reports because it had the latest data."
"With a cluster available, you can manage the security layer using the shared SDX - it provides flexibility."
"Cloudera Distribution for Hadoop provides numerous features and capabilities combined into one platform, offers power processing, supports different file systems and query engines, and provides parallel processing for handling many requests."
"The product provides better data processing features than other tools."
"It is helpful to gather and process data."
"The solution is reliable and stable, it fits our requirements."
More Cloudera Distribution for Hadoop pros
 

Cons

"Apache HBase could be improved by optimizing the integration with Apache Phoenix; sometimes the abstraction and lookup jobs lead to issues when there are too many requests."
"Apache HBase could be improved by optimizing the integration with Apache Phoenix; sometimes the abstraction and lookup jobs lead to issues when there are too many requests."
"I don't like using Apache HBase to store huge amounts of data because of many performance issues."
"The setup of Apache HBase needs a lot of time, and the linkage is not the program itself, but the activation and connecting to the NYPD engine always takes considerable time."
"We've seen performance issues."
"The performance of some analytics engines provided by Cloudera is not that good."
"There are multiple bugs when we update."
"The tool doesn't support reporting, and relational databases are still the major source of reporting data. Apache Iceberg will be launched soon within the Cloudera cluster for analytical purposes. The Cloudera Machine Learning aspect could be tuned and enhanced to enable us to host some predictive analytics machine learning and AI use cases."
"The solution is not fit for on-premise distributions."
"We found some difficulties when importing Hive tables from another cluster."
"I subscribe to Cloudera to get an enterprise version but I have found that I can get some of its features from other vendors that would be at a lower cost than Cloudera."
"Flume seems unstable and has to be restarted quite often."
"We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there are a lot of things that need to improve."
More Cloudera Distribution for Hadoop cons
 

Pricing and Cost Advice

Information not available
"The solution is fairly expensive."
"I haven't bought a license for this solution. I'm only using the Apache license version."
"It is an expensive product."
"I wouldn't recommend CDH to others because of its high cost."
"Cloudera requires a license to use."
"The tool is not expensive."
"Cloudera Distribution for Hadoop is expensive, with support costs involved."
"The price could be better for the product."
More Cloudera Distribution for Hadoop pricing and cost advice
report
See which vendors are best for you
Use our free recommendation engine to learn which NoSQL Databases solutions are best for your needs.
See recommendations
884,933 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
9%
Comms Service Provider
8%
University
8%
Financial Services Firm
20%
Marketing Services Firm
10%
Comms Service Provider
7%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise9
Large Enterprise31
 

Questions from the Community

What needs improvement with Apache HBase?
Apache HBase could be improved by optimizing the integration with Apache Phoenix; sometimes the abstraction and lookup jobs lead to issues when there are too many requests. Resource optimization is...
See all answers
What advice do you have for others considering Apache HBase?
I'm working for a corporate that uses Apache HBase for their Big Data platform and I'm a Big Data engineer there. We're using a version of Apache HBase that is compatible with the other Big Data to...
See all answers
What is your experience regarding pricing and costs for Apache HBase?
The cost depends on the EC2 instances and the size of the data you're indexing.
See all answers
What do you like most about Cloudera Distribution for Hadoop?
The tool can be deployed using different container technologies, which makes it very scalable.
See all answers
What is your experience regarding pricing and costs for Cloudera Distribution for Hadoop?
The price for Cloudera is average, yet it is very good compared to other solutions. It can be deployed on-premises, unlike competitors' cloud-only solutions.
See all answers
What needs improvement with Cloudera Distribution for Hadoop?
If they could support modifying the data more easily than the current implementation, it would be beneficial.
See all answers
 

Comparisons

MongoDB Enterprise Advanced vs Apache HBase Logo
MongoDB Enterprise Advanced vs Apache HBase
Compared 13% of the time
Accumulo vs Apache HBase Logo
Accumulo vs Apache HBase
Compared 12% of the time
ScyllaDB vs Apache HBase Logo
ScyllaDB vs Apache HBase
Compared 12% of the time
Cassandra vs Apache HBase Logo
Cassandra vs Apache HBase
Compared 8% of the time
Couchbase Enterprise vs Apache HBase Logo
Couchbase Enterprise vs Apache HBase
Compared 6% of the time
More Apache HBase Competitors
HPE Data Fabric vs Cloudera Distribution for Hadoop Logo
HPE Data Fabric vs Cloudera Distribution for Hadoop
Compared 10% of the time
MongoDB Enterprise Advanced vs Cloudera Distribution for Hadoop Logo
MongoDB Enterprise Advanced vs Cloudera Distribution for Hadoop
Compared 8% of the time
Amazon EMR vs Cloudera Distribution for Hadoop Logo
Amazon EMR vs Cloudera Distribution for Hadoop
Compared 7% of the time
Couchbase Enterprise vs Cloudera Distribution for Hadoop Logo
Couchbase Enterprise vs Cloudera Distribution for Hadoop
Compared 7% of the time
Cloudera Data Platform vs Cloudera Distribution for Hadoop Logo
Cloudera Data Platform vs Cloudera Distribution for Hadoop
Compared 4% of the time
More Cloudera Distribution for Hadoop Competitors
 

Product Reports

Buyer's Guide
NoSQL Databases
March 2026
Apache HBase reportDownload Apache HBase product report
Buyer's Guide
Cloudera Distribution for Hadoop
March 2026
Cloudera Distribution for Hadoop reportDownload Cloudera Distribution for Hadoop product report
 

Also Known As

HBase
No data available
 

Overview

Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's BigTable. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS.
Apache
Cloudera Distribution for Hadoop is the world's most complete, tested, and popular distribution of Apache Hadoop and related projects. CDH is 100% Apache-licensed open source and is the only Hadoop solution to offer unified batch processing, interactive SQL, and interactive search, and role-based access controls. More enterprises have downloaded CDH than all other such distributions combined.
Cloudera
 

Sample Customers

Bloomberg, Wells Fargo, Apple, Capital One, NVIDIA
37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC
Buyer's Guide
Apache HBase vs. Cloudera Distribution for Hadoop
March 2026
Free Report: Apache HBase vs. Cloudera Distribution for Hadoop
Find out what your peers are saying about Apache HBase vs. Cloudera Distribution for Hadoop and other solutions. Updated: March 2026.
DOWNLOAD NOW
884,933 professionals have used our research since 2012.
See our Apache HBase vs. Cloudera Distribution for Hadoop report.
See our list of best NoSQL Databases vendors.

We monitor all NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.