Apache HBase vs Redis comparison

Read 23 Redis reviews

5,005 Views
901 Comparison Views

100% willing to recommend

Apache HBase

Comparison Buyer's Guide

Download the report

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).

Download the complete report

Apache HBase vs. Redis

December 2025

Helped 881,082 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

5th

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 (17th)

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 Redis is 8.7%, up from 3.0% 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	5.3%
Other	86.0%

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.

Read full review

KarimGarchi

Database Admin and Architect at D-EDGE Hospitality Solutions

Performance shines with seamless session caching and minimal configuration

The best features of Redis, from my personal perspective, are the performance, which is very quick, and it's very simple to implement. Since I started using Redis, I feel that the product is saving me some performance tuning time. It's very easy, I have few parameters to tune, and it seems to have performance without a lot of working on the performance, compared to Cassandra, where you have to configure the memory and many other settings. The integration capability of Redis is excellent. Redis is very affordable because it's free.

Read full review

Quotes from Members

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

Pros

"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."

"The most valuable part is the column family structure."

"Redis provides an easy setup and operation process, allowing users to quickly connect and use it without hassle."

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

"Redis is good for distributed caching management."

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

"Redis is a simple service that does what it promises."

"The solution's technical support team is good...The solution's initial setup process was straightforward."

"What I like best about Redis is its fast and easy use. It has interesting algorithms like HyperLogLog and provides useful features. It's also good for implementing scalable rate limiting."

"The online interface is very fast and easy to use."

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."

"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."

"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."

"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."

"If we use a lot of data, it will eventually cost us a lot."

"The only thing is the lack of a GUI application. There was a time when we needed to resolve an issue in production. If we had a GUI, it would have been easier."

"Redis should have an option to operate without Docker on a local PC."

"There is a lack of documentation on the scalability of the solution."

"Sometimes, we use Redis as a cluster, and the clusters can sometimes suffer some issues and bring some downtime to your application."

"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."

"The solution's pricing for a local installation is very expensive."

More Redis cons

Pricing and Cost Advice

Information not available

"Redis is not an overpriced solution."

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

"Redis is an open-source product."

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

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

See which vendors are best for you

Use our free recommendation engine to learn which NoSQL Databases solutions are best for your needs.

See recommendations

881,082 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

10%

Comms Service Provider

University

Financial Services Firm

26%

Computer Software Company

10%

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

Comparisons

Compared 16% of the time

ScyllaDB vs Apache HBase

Compared 14% of the time

Accumulo vs Apache HBase

Compared 14% of the time

Cassandra vs Apache HBase

Compared 9% of the time

Cloudera Distribution for Hadoop vs Apache HBase

Compared 5% of the time

More Apache HBase Competitors

Oracle Coherence vs Redis

Compared 8% of the time

Upstash vs Redis

Compared 7% of the time

Red Hat Data Grid vs Redis

Compared 7% of the time

Chroma vs Redis

Compared 6% of the time

Couchbase Enterprise vs Redis

Compared 4% of the time

More Redis Competitors

Product Reports

Download Apache HBase product report

NoSQL Databases

January 2026

Download Redis product report

January 2026

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

1. Twitter 2. GitHub 3. StackOverflow 4. Pinterest 5. Snapchat 6. Craigslist 7. Digg 8. Weibo 9. Airbnb 10. Uber 11. Slack 12. Trello 13. Shopify 14. Coursera 15. Medium 16. Twitch 17. Foursquare 18. Meetup 19. Kickstarter 20. Docker 21. Heroku 22. Bitbucket 23. Groupon 24. Flipboard 25. SoundCloud 26. BuzzFeed 27. Disqus 28. The New York Times 29. Walmart 30. Nike 31. Sony 32. Philips