Apache HBase vs Redis comparison

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Apache HBase

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Executive SummaryUpdated on Dec 14, 2025

Apache HBase and Redis are competing products in the field of NoSQL databases. Redis seems to have the upper hand due to its high-performance in-memory approach, particularly for real-time applications with low latency requirements.

Features: Apache HBase handles large-scale data with strong consistency and linear scalability, leveraging Hadoop integration for structured data storage and complex data analysis. Redis offers in-memory caching, persistent storage, and a variety of advanced data structures for versatile application support.

Room for Improvement: Apache HBase could improve in providing simpler deployment options, reducing reliance on the complex Hadoop infrastructure, and enhancing community support. Redis could address limitations in managing complex data structures, expand multi-threading capabilities, and offer more cost-effective managed service options.

Ease of Deployment and Customer Service: Apache HBase presents a complex deployment model due to Hadoop integration, often requiring community-supported troubleshooting. Redis offers straightforward deployment with numerous managed service options, along with professional support and commercial services for enhanced customer service appeal.

Pricing and ROI: Apache HBase, as an open-source solution, offers low initial setup costs but faces rising operational expenses with infrastructure scaling. Redis involves higher initial costs for managed services, yet provides higher ROI through rapid deployment and reduced maintenance, delivering performance value that often justifies its pricing.

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

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Apache HBase vs. Redis

December 2025

Helped 879,259 peers since 2012

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

Ranking in other categories

No ranking in other categories

Redis

Ranking in NoSQL Databases

7th

Average Rating

8.8

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (9th), In-Memory Data Store Services (1st), Vector Databases (3rd), AI Software Development (10th)

Mindshare comparison

As of December 2025, in the NoSQL Databases category, the mindshare of Apache HBase is 5.1%, up from 4.8% compared to the previous year. The mindshare of Redis is 8.7%, up from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Market Share Distribution
Product	Market Share (%)
Redis	8.7%
Apache HBase	5.1%
Other	86.2%

NoSQL Databases

Featured Reviews

Ephrem Sisay

DevOps Engineer (M-PESA) at Safaricom Ethiopia plc

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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reviewer2005650

Data Engineer at a photography company with 1,001-5,000 employees

Optimize AI projects with reliable data processing while addressing scaling challenges

There are a few areas where Redis could improve. The pub-sub capabilities could be optimized to handle network sessions better, as there are challenges with maintaining sessions between clients and systems. Data persistence and recovery face issues with compatibility across major versions, making upgrades possible but downgrades not active. There's a need for better migration tools to support data movements in a hybrid environment. Concerns exist about licensing and community engagement due to changes in Redis and its forks.

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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 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."

"Apache HBase is a database used for data storage."

"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."

"I use Redis mostly to cache repeated data that is required."

"Redis has multiple valuable features such as being a free and reliable open-source tool."

"It is particularly efficient for cloud-based storage and operations."

"Redis is a simple, powerful, and fast solution."

"Redis is good for distributed caching management."

"The ability to fetch and save data quickly is valuable."

"The most valuable features of Redis are its ease of use and speed. It does not have access to the disc and it is fast."

"Redis acts as an in-memory search tool that improves the speed of operations."

More Redis 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."

"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."

"I don't like using Apache HBase to store huge amounts of data because of many performance issues."

"For the PubSub feature, we had to create our own tools to monitor the events."

"There are some features from MongoDB that I would like to see included in Redis to enhance its overall efficiency, such as the ability to perform remote behaviour. MongoDB is more efficient in handling updates than deletions and is quicker in processing updates, but it can be slower regarding deletions. This can sometimes pose a challenge, especially when dealing with large datasets or frequent data manipulations that involve deletions. In such cases, I often rewrite columns or update values instead of directly deleting data, as it can be more efficient."

"There is room for AWS to provide more options for server types or a way to configure more or less memory for them."

"The tool should improve by increasing its size limits and handling dynamic data better. We use the client ID or associate it with a key for static content. The solution will not be easy for a beginner. Unless you understand SQL data, it will be difficult to understand and use Redis. It also needs to be user-friendly."

"Redis presents a single point of failure and lacks fault tolerance."

"The initial setup took some time as our technical team needed to familiarize themselves with Redis."

"It's actually quite expensive."

"Redis could improve its efficiency in handling locally stored data, not just Amazon Cloud or Google Cloud."

More Redis cons

Pricing and Cost Advice

Information not available

"The tool is open-source. There are no additional costs."

"Redis is an open-source product."

"Redis is not an overpriced solution."

"Redis is an open-source solution. There are not any hidden fees."

"We saw an ROI. It made the processing of our transactions faster."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

10%

Comms Service Provider

Computer Software Company

Financial Services Firm

26%

Computer Software Company

11%

Comms Service Provider

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	3
Large Enterprise	8

Questions from the Community

What needs improvement with Apache HBase?

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 Redis?

Redis is better tested and is used by large companies. I haven't found a direct alternative to what Redis offers. Plus, there are a lot of support and learning resources available, which help you u...

What needs improvement with Redis?

The disadvantage of Redis is that it's a little bit hard to have too many clusters or too many nodes and create the clusters. The sync between the nodes is easier to implement with Couchbase, for e...

What is your primary use case for Redis?

Redis is used for a part of a booking engine for travel, specifically for the front part to get some sessions and information about the sessions. If a customer or user is using the sites in differe...

MongoDB Enterprise Advanced vs Apache HBase

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Product Reports

Download Apache HBase product report

NoSQL Databases

November 2025

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December 2025

Also Known As

HBase

Redis Enterprise

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

Redis offers high-speed, in-memory storage, renowned for real-time performance. It supports quick data retrieval and is used commonly in applications like analytics and gaming.

Renowned for real-time performance, Redis delivers high-speed in-memory storage, making it a favorite for applications needing quick data retrieval. Its diverse data structures and caching capabilities support a broad array of use cases, including analytics and gaming. Redis ensures robust scalability with master-slave replication and clustering, while its publish/subscribe pattern renders it reliable for event-driven applications. The solution integrates smoothly with existing systems, minimizing performance tuning needs. Although documentation on scalability and security could be improved, Redis remains cost-effective and stable, commonly utilized in cloud environments. Enhancing integration with cloud services like AWS and Google Cloud and refining GUI may improve usability.

What are the key features of Redis?

High Speed: In-memory data storage for swift access.
Scalability: Master-slave replication and clustering for growth.
Data Structures: Supports diverse types for varied uses.
Persistence: RDB snapshots and AOF logs ensure durability.
Integration: Seamless integration reduces tuning efforts.

What should users look for in Redis reviews?

Performance: Real-time data retrieval boosts efficiency.
Cost-Effectiveness: Stable, budget-friendly implementation.
Versatility: Suitable for diverse environments and platforms.
Reliability: Ensures data persistence and high availability.

Redis finds application across industries for tasks like caching to improve application performance and speed, minimizing database load. It enables real-time processing for session storage, push notifications, and analytics. As a messaging platform, Redis handles high traffic and supports replication and clustering for cross-platform scalability.

Sample Customers

Bloomberg, Wells Fargo, Apple, Capital One, NVIDIA

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