Apache HBase vs Redis comparison

Apache and RedisLabs are both solutions in the NoSQL Databases category. Apache is ranked #10 with an average rating of 7.3, while RedisLabs is ranked #7 with an average rating of 8.7. Apache holds a 5.3% mindshare in ND, compared to RedisLabs’s 8.9% mindshare. Additionally, 75% of Apache users are willing to recommend the solution, compared to 100% of RedisLabs users who would recommend it.

Apache HBase

Read 4 Apache HBase reviews

862 Views
828 Comparison Views

75% willing to recommend

Redis

Read 23 Redis reviews

4,722 Views
756 Comparison Views

100% willing to recommend

Apache HBase

Redis

Comparison Buyer's Guide

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Executive SummaryUpdated on Sep 11, 2025

Apache HBase and Redis are both prominent NoSQL database solutions. Redis appears to have the upper hand with its speed and simplicity, making it more suited for real-time applications.

Features: Apache HBase offers integration with the Hadoop ecosystem, making it ideal for large-scale data analytics. It provides strong data consistency and supports large datasets efficiently. Redis is renowned for its in-memory speed, supporting multiple data structures and facilitating quick data access, which is beneficial for real-time use cases.

Room for Improvement: Apache HBase could enhance ease of use and reduce infrastructure complexity. It also requires refinements in deployment processes. Redis might improve on handling complex data structures beyond caching and expand its disk-based storage options for broader use cases. Enhancing its single-thread capabilities could also be beneficial.

Ease of Deployment and Customer Service: Apache HBase tends to require more setup and infrastructure due to its distributed nature, which can be challenging. Redis, with a simpler architecture, supports faster deployment, especially in cloud environments, offering a user-friendly experience. Both provide solid customer service, though Redis is typically more straightforward.

Pricing and ROI: Apache HBase generally involves higher setup costs due to extensive infrastructure needs, which can slow ROI. Redis, being lightweight, results in lower initial costs and quicker returns, particularly suited for in-memory scenarios where speed is crucial.

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

Buyer's Guide

Apache HBase vs. Redis

September 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

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 (4th)

Mindshare comparison

As of October 2025, in the NoSQL Databases category, the mindshare of Apache HBase is 5.3%, up from 4.6% compared to the previous year. The mindshare of Redis is 8.9%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Market Share Distribution
Product	Market Share (%)
Redis	8.9%
Apache HBase	5.3%
Other	85.8%

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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Yaseer Arafat

.Net Developer at Freelance

Unmatched Performance and Scalability for Modern Applications

Redis has room for improvement in a few areas. Enhanced tools for managing and monitoring clusters would be beneficial, as would built-in security mechanisms like advanced encryption and granular access controls. Simplifying setup and configuration could make Redis more accessible to new users. Introducing more enterprise-grade features, such as better multi-tenancy support and improved backup and restore capabilities, would also be advantageous. For the next release, it would be great to see enhanced cluster management tools, native multi-region supports for better data redundancy, integrated analytics for deeper insights, AI and ML integration features, and improved developer experience through enhanced SDKs and tools.

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

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

"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."

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

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

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

"Redis is good for distributed caching management."

"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 use Redis efficiently."

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

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

More Redis pros

Cons

"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."

"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."

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

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

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

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

"It's actually quite expensive."

"Redis could be improved by introducing a GUI to display key-value pair database information, as it is currently a CLI tool with no visual representation."

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

"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."

More Redis cons

Pricing and Cost Advice

Information not available

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

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

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

"Redis is not an overpriced solution."

"Redis is an open-source product."

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Comms Service Provider

Computer Software Company

University

Financial Services Firm

25%

Computer Software Company

12%

Educational Organization

Comms Service Provider

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 do you like most about Apache HBase?

Apache HBase is a database used for data storage.

See all answers

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...

See all answers

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...

See all answers

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...

See all answers

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...

See all answers

Comparisons

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Compared 22% of the time

Accumulo vs Apache HBase

Compared 21% of the time

ScyllaDB vs Apache HBase

Compared 16% of the time

Cassandra vs Apache HBase

Compared 7% of the time

Couchbase Enterprise vs Apache HBase

Compared 6% of the time

More Apache HBase Competitors

Red Hat Data Grid vs Redis

Compared 10% of the time

Oracle Coherence vs Redis

Compared 10% of the time

Chroma vs Redis

Compared 8% of the time

ScyllaDB vs Redis

Compared 6% of the time

Upstash vs Redis

Compared 5% of the time

More Redis Competitors

Product Reports

Buyer's Guide

NoSQL Databases

September 2025

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Buyer's Guide

Redis

September 2025

Download Redis product report

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.

RedisLabs

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

Buyer's Guide

Apache HBase vs. Redis

September 2025

Free Report: Apache HBase vs. Redis

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