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Apache HBase Reviews

Vendor: Apache
3.6 out of 5

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Apache HBase mindshare

As of May 2026, the mindshare of Apache HBase in the NoSQL Databases category stands at 5.2%, down from 5.8% compared to the previous year, according to calculations based on PeerSpot user engagement data.
NoSQL Databases Mindshare Distribution
ProductMindshare (%)
Apache HBase5.2%
MongoDB Enterprise Advanced13.3%
Redis8.6%
Other72.9%
NoSQL Databases
 
 
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Valuable Features

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Deployment

Top industries

By visitors reading reviews
Financial Services Firm
20%
Comms Service Provider
9%
University
9%
Educational Organization
7%
Manufacturing Company
7%
Construction Company
6%
Computer Software Company
6%
Transportation Company
4%
Energy/Utilities Company
3%
Performing Arts
3%
Outsourcing Company
3%
Media Company
3%
Wholesaler/Distributor
2%
Government
2%
Insurance Company
2%
Legal Firm
2%
Pharma/Biotech Company
2%
Retailer
2%
Leisure / Travel Company
2%
Renewables & Environment Company
1%
Logistics Company
1%
Museum Or Institution
1%
Sports Company
1%
Training & Coaching Company
1%
Marketing Services Firm
1%
Non Profit
1%
Healthcare Company
1%
Recreational Facilities/Services Company
1%

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Apache HBase customers

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Apache HBase Reviews Summary
Author infoRatingReview Summary
Senior Software Engineer at a computer software company with 501-1,000 employees4.0I've used Apache HBase mainly for customer data lookups and eligibility checks. It integrates well with Hadoop and Phoenix but needs better resource optimization during high loads. Overall, it's scalable, reliable, and suits our Big Data platform needs.
Principle Network and Database Engr at Parsons Corporation4.5I used Apache HBase for a year-long security system project and found it fast and efficient, though setup was time-consuming and network issues caused crashes. Support was excellent, and I’d rate it nine out of ten.
Principal Software Engineer at Securonix4.0We use Apache HBase for real-time data grouping, primarily appreciating its column family structure for real-time aggregations. However, we encounter performance issues when the number of regions increases, particularly under heavier loads.
Cloud and Big Data Engineer | Developer at Huawei2.0I use Apache HBase for managing consumer data sets due to its database capabilities. However, I face performance issues when storing large amounts of data. Despite these challenges, I have not considered other solutions or providers yet.