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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
11th
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
4th
Average Rating
8.2
Reviews Sentiment
6.6
Number of Reviews
11
Ranking in other categories
Non-Relational Databases (1st), Open Source Databases (9th), Network Monitoring Software (22nd), IT Infrastructure Monitoring (26th)
 

Mindshare comparison

As of August 2025, in the NoSQL Databases category, the mindshare of Apache HBase is 5.6%, up from 4.9% compared to the previous year. The mindshare of InfluxDB is 7.6%, down from 12.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
NoSQL Databases Market Share Distribution
ProductMarket Share (%)
InfluxDB7.6%
Apache HBase5.6%
Other86.8%
NoSQL Databases
 

Featured Reviews

Ephrem Sisay - PeerSpot reviewer
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.
DeepakR - PeerSpot reviewer
An open-source database that can be used to insert data
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.

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."
"Apache HBase is a database used for data storage."
"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."
"The most valuable part is the column family structure."
"The most valuable features of InfluxDB are the documentation and performance, and the good plugins metrics in the ecosystem."
"InfluxDB works as expected with excellent scalability and stability, which is critical for our application."
"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."
"The platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with Grafana."
"InfluxDB's best feature is that it's a cloud offering. Other good features include its time-series DB, fast time-bulk queries, and window operations."
"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 from servers. It must be installed on Windows or Linux servers. During installation, ensure that the configuration file is correct to prevent issues. Once data is collected, it can be sent to InfluxDB. For visualization, you can use open-source tools like Grafana."
"InfluxDB works as expected with excellent scalability and stability, which is critical for our application."
"The most valuable features are aggregating the data and integration with Graphana for monitoring."
 

Cons

"We've seen 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."
"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."
"I don't like using Apache HBase to store huge amounts of data because of many 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."
"One area for improvement is the querying language. InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying."
"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."
"In terms of features that I would like to see or have, in the community version, some features are not available. I would like to have clustering and authentication in the community version."
"The solution doesn't have much of a user interface."
"It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster."
"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."
"I've tried both on-premises and cloud-based deployments, and each has its limitations."
 

Pricing and Cost Advice

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

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
9%
Manufacturing Company
7%
Educational Organization
7%
Financial Services Firm
11%
Computer Software Company
11%
Comms Service Provider
9%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise3
Large Enterprise5
 

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 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?
It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster. Replicating data for on-prem development and testing is difficult. Having a SQL abstrac...
What is your primary use case for InfluxDB?
InfluxDB is the main component in our large enterprise-scale streaming data application for maritime vessels. We collect position data from vessels around the coast once per second, put it on a Kaf...
 

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: July 2025.
866,286 professionals have used our research since 2012.