Apache HBase vs InfluxDB comparison

Apache and InfluxData are both solutions in the NoSQL Databases category. Apache is ranked #9 with an average rating of 8.3, while InfluxData is ranked #4 with an average rating of 8.5. Apache holds a 5.6% mindshare in ND, compared to InfluxData’s 5.6% mindshare. Additionally, 75% of Apache users are willing to recommend the solution, compared to 100% of InfluxData users who would recommend it.

Apache HBase

Read 4 Apache HBase reviews

1,051 Views
998 Comparison Views

75% willing to recommend

InfluxDB

Read 17 InfluxDB reviews

3,443 Views
1,239 Comparison Views

100% willing to recommend

Apache HBase

InfluxDB

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Executive SummaryUpdated on Jan 7, 2025

InfluxDB and Apache HBase are competing products in the realm of handling large-scale data sets. InfluxDB holds an upper hand in efficiency for time-series data handling, while Apache HBase is advantageous for those requiring scalability and integration within Hadoop ecosystems.

Features: InfluxDB offers efficient time-series data storage, a built-in dashboard for data visualization, and seamless integration with monitoring systems. Apache HBase provides strong scalability, smooth Hadoop integration, and consistency for real-time read/write operations.

Ease of Deployment and Customer Service: InfluxDB allows for straightforward deployment processes with strong support, often resulting in quicker implementation and a highly rated customer service. Apache HBase is more complex to deploy due to extensive configuration options but benefits from integration support within Hadoop environments.

Pricing and ROI: InfluxDB is competitive in pricing with potentially lower setup costs, making it appealing for smaller teams or projects with budget constraints. Apache HBase requires more extensive setup and resources resulting in higher initial costs but offers justified ROI for organizations seeking scalability and integration within existing Hadoop operations.

To learn more, read our detailed Apache HBase vs. InfluxDB Report (Updated: December 2025).

Buyer's Guide

Apache HBase vs. InfluxDB

December 2025

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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

9th

Average Rating

7.2

Reviews Sentiment

5.1

Number of Reviews

Ranking in other categories

No ranking in other categories

InfluxDB

Ranking in NoSQL Databases

4th

Average Rating

8.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Non-Relational Databases (1st), Open Source Databases (7th), Network Monitoring Software (11th), IT Infrastructure Monitoring (14th)

Mindshare comparison

As of February 2026, in the NoSQL Databases category, the mindshare of Apache HBase is 5.6%, up from 4.8% compared to the previous year. The mindshare of InfluxDB is 5.6%, down from 11.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Market Share Distribution
Product	Market Share (%)
InfluxDB	5.6%
Apache HBase	5.6%
Other	88.8%

NoSQL Databases

Featured Reviews

Ephrem Sisay

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.

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Mugeesh Husain

Team Lead, Software at Energybox

Time series data has been managed efficiently for IoT sensors but reporting still needs improvement

How InfluxDB can be improved is relevant since for Energy Box, we face certain issues. We have customers worldwide, including the United States, United Kingdom, and Europe, but when we expanded to China two years ago, they indicated that they do not support the cloud version there. Our application is built on the cloud, which required us to create a separate application for Azure China, which was painful for us. The second issue involves frequent version changes. For example, we started with version one, transitioned to version two, and I heard they are considering InfluxDB version three, reverting to earlier practices. InfluxDB should improve without completely changing its approach. Now we have to redo our work for InfluxDB version three. Regarding needed improvements, the documentation is sufficient, but pricing presents a challenge. InfluxDB has standard pricing, which is acceptable for large companies. However, for startups in our position, they should provide special discounts so everyone can utilize it. The pricing should adapt as companies grow, which is a reasonable expectation.

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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."

"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."

"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."

"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."

"Based on InfluxDB, we have great analytics produced by our SRE team, and with that, we have an alerting and monitoring system in place."

"It helps me maintain my solution easily because it is very reliable, so we didn't face any performance issues or crashes regarding our queries; we can get the results very fast."

"The most valuable feature of the solution is we can use InfluxDB to integrate with and plug into any other tools."

"The most valuable features are aggregating the data and integration with Graphana for monitoring."

"InfluxDB reduced my time to show data without any interruption, also reducing the number of people needed to manage the project; it is very good to have InfluxDB in my project."

More InfluxDB pros

Cons

"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."

"We've seen performance issues."

"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."

"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."

"The interface of InfluxDB is so complex and should be made easier for non-technical people."

"It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster."

"However, I cannot ignore the challenges I faced while configuring the database with my message brokers, whether Rabbit or Kafka, because the documentation is not properly provided."

"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."

"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."

"One area for improvement is the querying language. InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying."

"InfluxDB can improve by including new metrics on other technologies. They had some changes recently to pool data from endpoints but the functionality is not good enough in the industry."

More InfluxDB cons

Pricing and Cost Advice

Information not available

"InfluxDB recently increased its price. It is very expensive now."

"InfluxDB is open-source, but there are additional costs for scaling."

"We are using the open-source version of InfluxDB."

"The tool is an open-source product."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

10%

University

Comms Service Provider

Manufacturing Company

10%

University

Computer Software Company

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	3
Large Enterprise	8

Questions from the Community

What needs improvement with Apache HBase?

See all answers

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...

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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.

See all answers

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 ...

See all answers

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...

See all answers

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...

See all answers

Comparisons

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Compared 15% of the time

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Compared 13% of the time

ScyllaDB vs Apache HBase

Compared 13% of the time

Cassandra vs Apache HBase

Compared 8% of the time

Aerospike Database 7 vs Apache HBase

Compared 6% of the time

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ClickHouse vs InfluxDB

Compared 15% of the time

MongoDB Enterprise Advanced vs InfluxDB

Compared 10% of the time

SQLite vs InfluxDB

Compared 9% of the time

PostgreSQL vs InfluxDB

Compared 8% of the time

Neo4j Graph Database vs InfluxDB

Compared 2% of the time

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Product Reports

Buyer's Guide

NoSQL Databases

February 2026

Download Apache HBase product report

Buyer's Guide

InfluxDB

January 2026

Download InfluxDB product report

Also Known As

HBase

No data available

Overview

Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's BigTable. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS.

Apache

InfluxDB is open-source software that helps developers and enterprises alike to collect, store, process, and visualize time series data and to build next-generation applications. InfluxDB provides monitoring and insight on IoT, application, system, container, and infrastructure quickly and easily without complexities or compromises in scale, speed, or productivity.

InfluxDB has become a popular insight system for unified metrics and events enabling the most demanding SLAs. InfluxDB is used in just about every type of industry across a wide range of use cases, including network monitoring, IoT monitoring, industrial IoT, and infrastructure and application monitoring.

InfluxDB offers its users:

Infrastructure and application monitoring: Collect, process, and analyze real-time data from edge devices to help optimize distributed infrastructure.

IoT monitoring and analytics: InfluxDB is designed to store large volumes of time series data and quickly perform real-time analysis on that data. Gain insights from all the sensor data and use the collected data to create and perform automated tasks.

Network monitoring: Manage responsive and high-performing networks with widely distributed resources.

InfluxDB Benefits

There are several benefits to using InfluxDB . Some of the biggest advantages the solution offers include:

APIs and ready toolset: InfluxDB can be accessed via a set of powerful tools enabling users to get started quickly, with less programming required. This includes a REST API, extensive client libraries, a wide variety of open-source integrations, and Flux - a functional data scripting language for querying, analysis, and events. The InfluxDB API can be used to write data from edge devices to the InfluxDB instance

Time series engine: Get any data - events, logs, traces - from any edge device - systems, sensors, queues, databases, and networks. This data is stored in a powerful and high-performing engine capable of ingesting millions of data points per second.

Community: InfluxDB has a large community of cloud and open-source developers ready to assist users.

Ready-made templates: Use InfluxDB Templates, a set of tools with a packager and other ready monitoring solutions. These tools allow users to share their monitoring expertise with coworkers and other community members around the world. The Templates gallery offers available templates for some of the most popular tools and applications.

Enhanced UI: InfluxDB’s UI includes an explorer, dashboarding tools, and a script editor. Use it to easily browse the collected metric and event data and apply common transformations. The dashboarding tool comes with a variety of visualization options that help users view insights from the data. The script editor assists users to quickly master Flux with easily accessible examples, auto-completion, and real-time syntax checking.

Reviews from Real Users

InfluxDB stands out among its competitors for a number of reasons. Two major ones are its flexible integration options and its data aggregation feature.

Shalauddin Ahamad S., a software engineer at a tech services company, notes, “The most valuable features are aggregating the data and the integration with Grafana for monitoring.”

InfluxData

Sample Customers

Bloomberg, Wells Fargo, Apple, Capital One, NVIDIA

ebay, AXA, Mozilla, DiDi, LeTV, Siminars, Cognito, ProcessOut, Recommend, CATS, Smarsh, Row 44, Clustree, Bleemeo

Buyer's Guide

Apache HBase vs. InfluxDB

December 2025

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