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Apache HBase vs MongoDB Enterprise Advanced comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 2026

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
MongoDB Enterprise Advanced
Ranking in NoSQL Databases
1st
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
82
Ranking in other categories
Open Source Databases (6th), Managed NoSQL Databases (4th)
 

Mindshare comparison

As of February 2026, in the NoSQL Databases category, the mindshare of Apache HBase is 5.6%, up from 4.8% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 13.9%, down from 20.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
NoSQL Databases Market Share Distribution
ProductMarket Share (%)
MongoDB Enterprise Advanced13.9%
Apache HBase5.6%
Other80.5%
NoSQL Databases
 

Featured Reviews

Ephrem Sisay - PeerSpot reviewer
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.
FG
Architecte Cloud at Visiativ SA
Offers reliable engine for legacy needs but requires enhanced cost management and AI features
While MongoDB is a good product, it is also an expensive product for support, and its scalability is acceptable, but the big problem with MongoDB is the cost. For security in MongoDB, we work with encrypted databases by default, but we have not contracted the security options in our contract because it is too expensive, so we only implement encrypted databases without the security pack, which is very expensive for us; in security, we are at the first steps, just using encrypted databases. I think additional features needed in MongoDB include perhaps vector databases, as I think they are not supported right now.

Quotes from Members

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

Pros

"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 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 most valuable part is the column family structure."
"Apache HBase is a database used for data storage."
"Migrating to MongoDB upgrades the IT environment and puts users in the NoSQL environment, which is faster."
"We've found the product to be scalable."
"The most valuable features of MongoDB are the variety of translations available and the ability to deploy it on the cloud is useful. The cloud users can access the data, work on the data, and if they want to import or manipulate some data they can."
"The most valuable feature of MongoDB is the predefined functions available when using Node.js. These functions simplify the query process, making it user-friendly and straightforward."
"MongoDB is simpler to learn and implement than traditional SQL solutions like MySQL."
"We can define security rules at the database level or the cluster level to grant or deny access to particular users."
"The most valuable feature of MongoDB is the ease of connections, aggregation, and queries."
"MongoDB's dashboards offer more functionalities and allow you to create a dashboard with MongoDB database data."
 

Cons

"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."
"I don't like using Apache HBase to store huge amounts of data because of many 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."
"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 stability could be improved."
"You need integration with other tools to run the query in MongoDB."
"The on-premises version of the solution is still pretty expensive, especially compared to the cloud version."
"Sometimes, the tool goes down temporarily. There are some stability issues in the product."
"There was a need for integrating relational database capabilities, however, MongoDB has introduced a relational converter that allows conversion between SQL and NoSQL."
"It would be good to have scalability for clusters. For example, if we have three clusters, we should be able to increase to five clusters if required. I am not sure if such a feature is currently there. I hope there is good documentation for this."
"The transaction could use improvement. From MySQL, for example, you cannot create a transaction if you are reading and writing a document at the same time."
"I feel that most people don't know a lot about MongoDB, so maybe they could add some more documentation and tutorials."
 

Pricing and Cost Advice

Information not available
"I chose MongoDB because it is cost-effective compared to Oracle, which can be expensive. In addition, MongoDB has good performance and has not caused any issues while working with it. It has been a good choice for me."
"You only have to pay for the paid version, not the open-source version."
"MongoDB is an open-source product."
"The solution is open source so is free."
"There is an annual subscription for the use of this solution."
"MongoDB is a free solution. We wanted to have high availability and the subscription cost was quite expensive because the basic one is free and then when you want to have some other replications or other features you will need to pay money. Overall the solution is expensive."
"It's open-source."
"I only used the open-source version."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
10%
University
8%
Comms Service Provider
8%
Financial Services Firm
14%
Computer Software Company
9%
Manufacturing Company
8%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business35
Midsize Enterprise13
Large Enterprise38
 

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...
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...
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.
What do you like most about MongoDB?
MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.
What is your experience regarding pricing and costs for MongoDB?
For a small company, the cost of MongoDB Enterprise Advanced is reasonable, but for heavy data usage, we see a little bit of cost pressure but it's acceptable. I will not be able to elaborate on th...
What needs improvement with MongoDB?
The integration between data warehouse could be improved. Nowadays, a lot of data is getting generated, so certain ETL flexible scripts with backend database integrations would be an improvement I ...
 

Also Known As

HBase
No data available
 

Overview

 

Sample Customers

Bloomberg, Wells Fargo, Apple, Capital One, NVIDIA
Facebook, MetLife, City of Chicago, Expedia, eBay, Google
Find out what your peers are saying about Apache HBase vs. MongoDB Enterprise Advanced and other solutions. Updated: February 2026.
881,733 professionals have used our research since 2012.