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Apache HBase vs Vertica comparison

 

Comparison Buyer's Guide

Executive Summary

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
Average Rating
6.0
Reviews Sentiment
6.3
Number of Reviews
2
Ranking in other categories
NoSQL Databases (11th)
Vertica
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
86
Ranking in other categories
Data Warehouse (5th), Cloud Data Warehouse (11th)
 

Featured Reviews

Sekhar Reddy B - PeerSpot reviewer
Offers real-time aggregations and easy for a beginner to learn to use this
We use it for real-time data grouping The most valuable part is the column family structure. We mainly use it for real-time aggregations. That's why we prefer it as a NoSQL database. We've seen performance issues when we have more regions. The product needs improvement in that area. So we…
T Venkatesh - PeerSpot reviewer
Processes query faster through multiple systems simultaneously, but it could support different data types
We use the solution for various tasks, including preparing data marts and generating offers. It helps extract data based on rules from the policy team and provides insights to enhance business operations. We also analyze transactions to target customers and improve business performance The…

Quotes from Members

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

Pros

"The most valuable part is the column family structure."
"Apache HBase is a database used for data storage."
"Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics."
"The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."
"The feature of the product that is most important is the speed. I needed a columnar database, and its speed is what it's built to do, and so that's what really does differentiate Vertica from its competitors."
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"The Vertica architecture means it can process/ingest data in parallel to reporting and analyzing because of its in-memory Write-Optimized Storage sitting alongside the analytics optimized Read-Optimized Storage."
"The most valuable feature of Vertica is the ability to receive large aggregations at a very quick pace. The use case of subclusters is very good."
"The extensibility and efficiency provided by their C++ SDK."
"We are also opening new areas of business and potential new revenue streams using Vertica's analytic functions, most notably geospatial, where we are able to run billions of comparisons of lat/long point locations against polygon and point/radius locations in seconds. ​"
 

Cons

"We've seen performance issues."
"I don't like using Apache HBase to store huge amounts of data because of many performance issues."
"Limitations in group by projections is where I would like to see an improvement."
"Metadata for database files scale okay, but metadata related to tables/columns/sequences must be stored on all nodes."
"The integration of this solution with ODI could be improved."
"It would be great if this were a managed service in AWS."
"If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer."
"Vertica seems to scale well, except for one use case where you are on a multi-node cluster. For example, if you had a nine-node cluster, one node goes down, then the eight nodes don't scale, because the absence of the node is very apparent, which is a problem. If you have nine nodes or multiple nodes, the whole idea is that if one of those nodes goes down, then you should not see an impact on the system if you have enough capacity. Even though we have enough capacity, you can still see the impact of the one node going down."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"Whatever's out, the core is not always as great as the engine, especially their first version."
 

Pricing and Cost Advice

Information not available
"Read the fine print carefully."
"The solution is free and we pay for the storage."
"The pricing and licensing depend on the size of your environment and the zone where you want to implement."
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
"The solution is relatively cost-effective."
"It's an expensive product"
"The price could be cheaper and it is best to negotiate the price."
"The price of Vertica is less expensive than some competitors, such as Teradata."
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Computer Software Company
13%
Manufacturing Company
9%
Government
7%
Financial Services Firm
19%
Computer Software Company
18%
Manufacturing Company
7%
University
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Apache HBase?
Apache HBase is a database used for data storage.
What needs improvement with Apache HBase?
We've seen performance issues when we have more regions. The product needs improvement in that area. So we experience performance issues sometimes when the load increases.
What advice do you have for others considering Apache HBase?
It's better to use AWS DynamoDB or Cassandra. I would rate it an eight out of ten. It is easy for a beginner to learn.
What do you like most about Vertica?
Vertica is easy to use and provides really high performance, stability, and scalability.
What is your experience regarding pricing and costs for Vertica?
The solution is relatively cost-effective. Pricing and licensing are reasonable compared to other solutions.
What needs improvement with Vertica?
The product could improve by adding support for a wider variety of data types and enhancing features to better compete with other databases.
 

Comparisons

 

Also Known As

HBase
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Overview

 

Sample Customers

Bloomberg, Wells Fargo, Apple, Capital One, NVIDIA
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Find out what your peers are saying about Apache HBase vs. Vertica and other solutions. Updated: March 2025.
846,617 professionals have used our research since 2012.