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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

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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.

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Buyer's Guide
Apache HBase vs. Cloudera Distribution for Hadoop
March 2026
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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

"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."
"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."
"Apache HBase is a database used for data storage."
"The search function is the most valuable aspect of the solution."
"The features I find most valuable is that the solution is that it is easy to install and to work with."
"The most valuable feature is Kubernetes."
"It is helpful to gather and process data."
"The solution is stable."
"Cloudera, as a whole, is designed to provide organizations with solutions for big data."
"The product as a whole is good."
"The data science aspect of the solution is valuable."
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."
"We've seen performance issues."
"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."
"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."
"I don't like using Apache HBase to store huge amounts of data because of many performance issues."
"There is a maximum of a one-gigabyte block size, which is an area of storage that can be improved upon."
"Sometimes the heavy queries do not finish at all."
"There is a maximum of a one-gigabyte block size, which is an area of storage that can be improved upon."
"They should focus on upgrading their technical capabilities in the market."
"The one thing that we struggled with predominately was support. Because it was relatively new, support was always a big issue and I think it's still a bit of an ongoing concern with the team currently managing it."
"We experienced many issues when we started working with Hadoop 3.0 in the Cloudera 6.0 version, so there is a lot of things that need to improve."
"If they could support modifying the data more easily than the current implementation, it would be beneficial."
"The stability is problematic. We did encounter quite a lot of issues with the cluster going down quite frequently."
More Cloudera Distribution for Hadoop cons
 

Pricing and Cost Advice

Information not available
"The product’s price depends from project to project."
"It is an expensive product."
"I believe we pay for a three-year license."
"The pricing must be improved."
"The solution is fairly expensive."
"I haven't bought a license for this solution. I'm only using the Apache license version."
"The price could be better for the product."
"The tool is expensive...For the SMB market or customers whose environments are not that complex and do not have multiple systems running, Cloudera might not be a good option."
More Cloudera Distribution for Hadoop pricing and cost advice
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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
 

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Product Reports

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NoSQL Databases
March 2026
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Buyer's Guide
Cloudera Distribution for Hadoop
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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
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