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Apache HBase Reviews

Vendor: Apache
3.6 out of 5

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Apache HBase mindshare

As of August 2025, the mindshare of Apache HBase in the NoSQL Databases category stands at 5.6%, up from 4.9% compared to the previous year, according to calculations based on PeerSpot user engagement data.
NoSQL Databases Market Share Distribution
ProductMarket Share (%)
Apache HBase5.6%
MongoDB Enterprise Advanced15.1%
ScyllaDB10.0%
Other69.3%
NoSQL Databases
 
 
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Top industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
9%
Manufacturing Company
7%
Educational Organization
7%
University
6%
Comms Service Provider
6%
Government
5%
Transportation Company
4%
Media Company
3%
Healthcare Company
3%
Outsourcing Company
3%
Legal Firm
2%
Insurance Company
2%
Non Profit
2%
Wholesaler/Distributor
2%
Performing Arts
2%
Real Estate/Law Firm
2%
Recreational Facilities/Services Company
2%
Retailer
2%
Energy/Utilities Company
2%
Construction Company
2%
Marketing Services Firm
1%
Hospitality Company
1%
Renewables & Environment Company
1%
Aerospace/Defense Firm
1%
Logistics Company
1%
Pharma/Biotech Company
1%
Sports Company
1%
Training & Coaching Company
1%
 
Apache HBase Reviews Summary
Author infoRatingReview Summary
DevOps Engineer (M-PESA) at Safaricom Ethiopia plc4.0I'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 Huawei Cloud Middle East2.0I 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.