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Apache HBase vs InfluxDB comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 7, 2025

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
4
Ranking in other categories
No ranking in other categories
InfluxDB
Ranking in NoSQL Databases
6th
Average Rating
8.2
Reviews Sentiment
6.4
Number of Reviews
16
Ranking in other categories
Non-Relational Databases (2nd), Open Source Databases (8th), Network Monitoring Software (23rd), IT Infrastructure Monitoring (21st)
 

Mindshare comparison

As of January 2026, in the NoSQL Databases category, the mindshare of Apache HBase is 5.3%, up from 5.0% compared to the previous year. The mindshare of InfluxDB is 5.9%, down from 11.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
NoSQL Databases Market Share Distribution
ProductMarket Share (%)
InfluxDB5.9%
Apache HBase5.3%
Other88.8%
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.
HJ
Senior System Developer at Norled
Tracking vessel movements seamlessly with continuous data collection and query execution
We mainly write and read data from InfluxDB. We perform very simple queries to do time series on a key, which is a unique ID of the vessel. We will select a vessel and select from time to time stamp. That’s what we do. InfluxDB’s core functionality is crucial as it allows us to store our data and execute queries with excellent response times.

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."
"Apache HBase is a database used for data storage."
"The most valuable part is the column family structure."
"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."
"While I would rate InfluxDB a ten on a scale of one to ten, users should be thoughtful about matching the engine to their specific needs."
"My advice for others looking into using InfluxDB is to use it the same way I did, because it is really stable, easy and friendly to use, and it is a great product overall."
"Based on InfluxDB, we have great analytics produced by our SRE team, and with that, we have an alerting and monitoring system in place."
"InfluxDB works as expected with excellent scalability and stability, which is critical for our application."
"InfluxDB works as expected with excellent scalability and stability, which is critical for our application."
"The most valuable features of InfluxDB are the documentation and performance, and the good plugins metrics in the ecosystem."
"The platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with Grafana."
"In our case, it started with a necessity to fill the gap that we had in monitoring. We had very reactive monitoring without trend analysis and without some advanced features. We were able to implement them by using a time series database. We are able to have all the data from applications, logs, and systems, and we can use a simple query language to correlate all the data and make things happen, especially with monitoring. We could more proactively monitor our systems and our players' trends."
 

Cons

"I don't like using Apache HBase to store huge amounts of data because of many performance issues."
"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."
"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 interface of InfluxDB is so complex and should be made easier for non-technical people."
"I haven't seen a return on investment; unfortunately, I cannot share relevant metrics such as time saved, fewer employees needed, or money saved."
"InfluxDB cannot be used for high-cardinality data. It's also difficult and time-consuming to write queries, and there are some issues with bulk API."
"One area for improvement is the querying language. InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying."
"It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster."
"The error logging capability can be improved because the logs are not very informative."
"InfluxDB is generally stable, but we've encountered issues with the configuration file in our ticket stack. For instance, a mistake in one of the metrics out of a hundred KPIs can disrupt data collection for all KPIs. This happens because the agent stops working if there's an issue with any configuration part. To address this, it is essential to ensure that all configurations are part of the agent's EXE file when provided. This makes it easier to package the agent for server installation and ensures all KPIs are available from the server. Additionally, the agent cannot encrypt and decrypt passwords for authentication, which can be problematic when monitoring URLs or requiring authentication tokens. This requires additional scripting and can prolong service restart times."
"I chose an 8 out of 10 because there is room for improvement, such as regarding backups and enhanced security through other types of authentication or encrypted data in TLS."
 

Pricing and Cost Advice

Information not available
"InfluxDB recently increased its price. It is very expensive now."
"The tool is an open-source product."
"We are using the open-source version of InfluxDB."
"InfluxDB is open-source, but there are additional costs for scaling."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Manufacturing Company
10%
Comms Service Provider
8%
University
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise3
Large Enterprise8
 

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 InfluxDB?
InfluxDB is a database where you can insert data. However, it would be best if you had different components for alerting, data sending, and visualization. You need to install tools to collect data ...
What needs improvement with InfluxDB?
Although I didn't encounter any significant challenges, I think that if there was a NoSQL version of InfluxDB, that would also help because I have used the SQL version. I wish InfluxDB were also av...
What is your primary use case for InfluxDB?
My main use case for InfluxDB involved working on a LEO satellite KPI monitoring application, where I gathered latency, throughput, packet loss, jitter, and various types of network data for severa...
 

Comparisons

 

Also Known As

HBase
No data available
 

Overview

 

Sample Customers

Bloomberg, Wells Fargo, Apple, Capital One, NVIDIA
ebay, AXA, Mozilla, DiDi, LeTV, Siminars, Cognito, ProcessOut, Recommend, CATS, Smarsh, Row 44, Clustree, Bleemeo
Find out what your peers are saying about Apache HBase vs. InfluxDB and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.