Apache HBase vs MongoDB Enterprise Advanced comparison

Apache and MongoDB are both solutions in the NoSQL Databases category. Apache is ranked #10 with an average rating of 7.3, while MongoDB is ranked #1 with an average rating of 8.4. Apache holds a 5.4% mindshare in ND, compared to MongoDB’s 16.7% mindshare. Additionally, 75% of Apache users are willing to recommend the solution, compared to 92% of MongoDB users who would recommend it.

Apache HBase

Read 4 Apache HBase reviews

869 Views
834 Comparison Views

75% willing to recommend

MongoDB Enterprise Advanced

Read 81 MongoDB Enterprise Advanced reviews

4,816 Views
3,130 Comparison Views

92% willing to recommend

Apache HBase

MongoDB Enterprise Advanced

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 31, 2025

MongoDB Enterprise Advanced and Apache HBase are in the realm of NoSQL databases. MongoDB Enterprise Advanced holds an advantage in pricing and support, making it preferable for those seeking scalable solutions backed by robust service models, while Apache HBase excels in feature richness and suitability for complex data handling.

Features: MongoDB Enterprise Advanced provides schema flexibility, comprehensive documentation, and strong community support to boost developer agility. Its focus is on ease of use and scalability, which is ideal for businesses pursuing growth. Apache HBase integrates seamlessly with Hadoop ecosystems, offers significant advantages for big data processing, and emphasizes data consistency and real-time analytics, making it apt for large-scale data environments.

Ease of Deployment and Customer Service: MongoDB Enterprise Advanced is known for its streamlined deployment complemented by extensive tutorials and dedicated customer support, emphasizing ease of use. Apache HBase's deployment relies on Hadoop components, which can make the process more complex, but it benefits from significant community resources to aid configuration, making it suitable for those with the necessary expertise.

Pricing and ROI: MongoDB Enterprise Advanced offers a flexible pricing model that caters to diverse business needs, resulting in a favorable ROI because of ease of adoption and scalability. Apache HBase may need a higher initial setup investment due to its Hadoop integration but provides long-term savings in extensive data processing tasks, making it cost-effective over time.

To learn more, read our detailed Apache HBase vs. MongoDB Enterprise Advanced Report (Updated: September 2025).

Buyer's Guide

Apache HBase vs. MongoDB Enterprise Advanced

September 2025

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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

10th

Average Rating

7.2

Reviews Sentiment

5.1

Number of Reviews

Ranking in other categories

No ranking in other categories

MongoDB Enterprise Advanced

Ranking in NoSQL Databases

1st

Average Rating

8.2

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Open Source Databases (5th), Managed NoSQL Databases (5th)

Mindshare comparison

As of September 2025, in the NoSQL Databases category, the mindshare of Apache HBase is 5.4%, up from 4.9% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 16.7%, down from 24.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Market Share Distribution
Product	Market Share (%)
MongoDB Enterprise Advanced	16.7%
Apache HBase	5.4%
Other	77.9%

NoSQL Databases

Featured Reviews

Ephrem Sisay

DevOps Engineer (M-PESA) at Safaricom Ethiopia plc

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

Uzair Faruqi

Head Of Analytics at Mjunction Services

Transforms data flow with adaptable schema and smooth public cloud deployment

One of our business units uses MongoDB, and we developed an ETL pipeline that extracts data from MongoDB and transfers it into our data warehouse MongoDB is a NoSQL database that is similar to a document database. It offers flexibility in schema adaptation, allowing us to change the schema and…

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 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 most valuable part is the column family structure."

"Easier to maintain the data with its document-based storage."

"One of the biggest benefits is the speed and flexibility of the documents, especially when it comes to modifications."

"MongoDB is simpler to learn and implement than traditional SQL solutions like MySQL."

"The most valuable feature is the speed of MongoDB."

"We haven't had any issues with stability."

"It is really a pretty easy product to use. It's very reliable, it's proven."

"The solution's most important aspect is its seamless database."

"The most valuable feature is the geometric information done with GeoJSON."

More MongoDB Enterprise Advanced pros

Cons

"I don't like using Apache HBase to store huge amounts of data because of many performance issues."

"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."

"Sometimes, the tool goes down temporarily. There are some stability issues in the product."

"It is important to note that MongoDB has limitations since it can only be used for specific use cases. For example, for master data, I would want to pick keys using an RDBMS, but for attachments, I would choose MongoDB."

"Data encryption is possible using third-party tools but they should have their own encryption capability built-in to this solution."

"I have found the solution difficult to operate as an administrator."

"There can be stability issues."

"I think it would be good to have more search options such as an index resource. This will provide more options and resources to do advance searches."

"Its security features can be better. Sometimes, my higher authority says that we are not going to use MongoDB because it doesn't provide that much security for the RDBMS or relational data that we use for transactions. Instead of MongoDB, we will use Oracle Database because for a transactional service, you have to rely on RDBMS ACID properties. I would love to work on MongoDB by using my mobile phone. When I am working remotely or traveling and have some instances deployed on my server, I should be able to check through my mobile whether all the data is being pulled. GitHub has a similar feature, where it lets you read from the laptop, and you can also pull and push with your mobile phone. I would request MongoDB to provide such a feature. Basically, I want a mobile version for both iOS and Android versions."

"We'd like technical support to respond faster to queries."

More MongoDB Enterprise Advanced cons

Pricing and Cost Advice

Information not available

"I only used the open-source version."

"We use the open-source version, which is available to use free of charge."

"I believe that the licensing fees are paid on a yearly basis."

"It's a community edition, so we do not pay anything."

"I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."

"MongoDB's pricing is reasonable."

"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."

"You only have to pay for the paid version, not the open-source version."

More MongoDB Enterprise Advanced pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Comms Service Provider

Computer Software Company

Educational Organization

Financial Services Firm

16%

Computer Software Company

11%

University

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	35
Midsize Enterprise	13
Large Enterprise	37

Questions from the Community

What do you like most about Apache HBase?

Apache HBase is a database used for data storage.

See all answers

What needs improvement with Apache HBase?

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...

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What do you like most about MongoDB?

MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.

See all answers

What is your experience regarding pricing and costs for MongoDB?

We pay approximately 2,000 euros per month for MongoDB.

See all answers

What needs improvement with MongoDB?

I'm not sure about the documentation or the knowledge bases available for MongoDB because I don't interact with it at that level, but I would say it's minimal and could be improved. I am not experi...

See all answers

Comparisons

Accumulo vs Apache HBase

Compared 21% of the time

ScyllaDB vs Apache HBase

Compared 14% of the time

Redis vs Apache HBase

Compared 9% of the time

Aerospike Database 7 vs Apache HBase

Compared 6% of the time

Cassandra vs Apache HBase

Compared 6% of the time

More Apache HBase Competitors

InfluxDB vs MongoDB Enterprise Advanced

Compared 9% of the time

Couchbase Enterprise vs MongoDB Enterprise Advanced

Compared 7% of the time

Milvus vs MongoDB Enterprise Advanced

Compared 6% of the time

Cassandra vs MongoDB Enterprise Advanced

Compared 6% of the time

Amazon Timestream vs MongoDB Enterprise Advanced

Compared 3% of the time

More MongoDB Enterprise Advanced Competitors

Product Reports

Buyer's Guide

NoSQL Databases

September 2025

Download Apache HBase product report

Buyer's Guide

MongoDB Enterprise Advanced

September 2025

Download MongoDB Enterprise Advanced 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

MongoDB Enterprise Advanced is a comprehensive platform renowned for its scalability, user-friendliness, and high performance, underpinned by its flexible document-based storage and open-source model. JSON compatibility, clustering, and security elevate its standing among professionals.

The platform facilitates efficient data management through developer-friendly tools and a strong aggregation framework. MongoDB’s no-schema requirement, supported by community expertise, underlines its adaptability. While its sharding capabilities and affordably support large data volumes, there are aspects such as security enhancement and enterprise tool integration that need attention. Indexing and query optimization pose challenges, alongside high costs. Improvements in analytics and UI could advance its infrastructure further.

What are the key features of MongoDB Enterprise Advanced?

Scalability: Dynamic adjustments to workloads with ease.
JSON Compatibility: Seamless data structuring with JSON support.
Clustering: Enhanced data management through robust clustering.
Security Integration: Built-in security measures for data protection.
Sharding: Efficient distribution of large datasets.

What benefits should users look for in reviews?

Document-Based Storage: Flexibility in managing varied data types.
Open-Source: Access to a broad community and resources.
Low-Cost Implementation: Economic efficiency in deployment.
Scalability: Supports the growth of data without sacrificing performance.

Industries leverage MongoDB Enterprise Advanced for significant roles in data storage within IoT platforms, healthcare apps, public service monitoring, and big data analytics. Companies in logistics and telecommunications find it instrumental for business process management and video content management, benefiting from its seamless integration and unstructured data support.

MongoDB

Sample Customers

Bloomberg, Wells Fargo, Apple, Capital One, NVIDIA

Facebook, MetLife, City of Chicago, Expedia, eBay, Google

Buyer's Guide

Apache HBase vs. MongoDB Enterprise Advanced

September 2025

Free Report: Apache HBase vs. MongoDB Enterprise Advanced

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