Apache HBase vs SingleStore comparison

The compared Apache and SingleStore solutions aren't in the same category. Apache is ranked #10 in ND , with an average rating of 8.3, and holds a 5.3% mindshare in the category. SingleStore is ranked #11 in DS , with an average rating of 8.0, and holds a 3.0% mindshare. Additionally, 75% of Apache users are willing to recommend the solution, compared to 100% of SingleStore users who would recommend it.

Apache HBase

Read 4 Apache HBase reviews

958 Views
920 Comparison Views

75% willing to recommend

SingleStore

Read 6 SingleStore reviews

2,326 Views
395 Comparison Views

100% willing to recommend

Apache HBase

SingleStore

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Apache HBase and SingleStore based on real PeerSpot user reviews.

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January 2026

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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

Average Rating

7.2

Reviews Sentiment

5.1

Number of Reviews

Ranking in other categories

NoSQL Databases (10th)

SingleStore

Average Rating

8.8

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (11th), Vector Databases (15th)

Mindshare comparison

While both are Databases solutions, they serve different purposes. Apache HBase is designed for NoSQL Databases and holds a mindshare of 5.3%, up 5.0% compared to last year.
SingleStore, on the other hand, focuses on Database as a Service (DBaaS), holds 3.0% mindshare, up 1.5% since last year.

NoSQL Databases Market Share Distribution
Product	Market Share (%)
Apache HBase	5.3%
MongoDB Enterprise Advanced	15.0%
Redis	8.7%
Other	71.0%

NoSQL Databases

Database as a Service (DBaaS) Market Share Distribution
Product	Market Share (%)
SingleStore	3.0%
Amazon RDS	14.8%
MongoDB Atlas	12.7%
Other	69.5%

Database as a Service (DBaaS)

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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Vignesh KR

Solution Architect at Wipro Limited

An excellent choice for diverse data processing needs with exceptional in-memory capabilities, robust failover mechanisms, easy scalability and high performance

Scalability is its key strength. Adding servers for scalability is a straightforward process involving simply incorporating a few additional servers and recycling the cluster triggers automatic repartitioning and redistribution of data. For instance, if the initial database creation involved a hundred servers and later, four more servers are added, specific commands can be executed to increase the partitions to one hundred twenty. The data is then efficiently redistributed across the expanded partitions without the need for manual data movement, ensuring a seamless and efficient scalability process. In my current organization, approximately three projects involve the usage of SingleStore, with a team size ranging from ten to twenty individuals.

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 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 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."

"It's a distributed relational database, so it does not have a single server, it has multiple servers. Its architecture itself is fast because it has multiple nodes to distribute the workload and process large amounts of data."

"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."

"The paramount advantage is the exceptional speed."

"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."

"The ability to store data in memory is a standout feature, enhanced by robust failover mechanisms."

"The product can automatically reinstall and reconfigure in case of a shutdown."

Cons

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

"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."

"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."

"Having the ability to migrate servers using a single command would be extremely beneficial."

"For new customers, it's very tough to start. Their documentation isn't organized, and there's no online training available. SingleStore is working on it, but that's a major drawback."

"We don't get good discounts in Pakistan."

"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."

"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."

Pricing and Cost Advice

Information not available

"SingleStore is a bit expensive."

"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."

"The product's licensing is not expensive. It is comparable."

"They have two main options: cloud installation and bare-metal installation, each with different pricing models."

"I would advise users to try the free 128GB version."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

10%

Comms Service Provider

University

Financial Services Firm

30%

Computer Software Company

10%

Comms Service Provider

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	4
Large Enterprise	3

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...

See all answers

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

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Comparisons

MongoDB Enterprise Advanced vs Apache HBase

Compared 16% of the time

ScyllaDB vs Apache HBase

Compared 15% of the time

Accumulo vs Apache HBase

Compared 14% of the time

Cassandra vs Apache HBase

Compared 8% of the time

Aerospike Database 7 vs Apache HBase

Compared 5% of the time

More Apache HBase Competitors

ClickHouse vs SingleStore

Compared 8% of the time

SQL Server vs SingleStore

Compared 7% of the time

Supabase Vector vs SingleStore

Compared 6% of the time

CockroachDB vs SingleStore

Compared 5% of the time

More SingleStore Competitors

Product Reports

Buyer's Guide

NoSQL Databases

January 2026

Download Apache HBase product report

Buyer's Guide

SingleStore

December 2025

Download SingleStore 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

SingleStore delivers the performance you need for enterprise AI, providing the most performant data platform for apps and analytics at scale. SingleStore enables organizations to scale from one to one million customers in one unified platform. SingleStore offers transparent pricing as shown here https://www.singlestore.com/pricing/

SingleStore caters to over 400 customers globally, including major banks and tech companies in 50+ countries and 40+ verticals. It offers seamless scaling for both transactional and analytical workloads, simplifying data management with its MySQL compatibility and real-time processing capabilities. SingleStore's distributed architecture ensures speed and reliability, efficiently handling large data volumes.

What are the key features of SingleStore?

MySQL Compatibility: Eases the learning curve for users.
Built-in Pipelines: Connects to S3, Kafka, and more.
High Concurrency: Processes billions of records swiftly.
Replication & Failover: Enhances speed and reliability.
In-memory Storage: Ensures data safety and quick access.

What benefits can users find in SingleStore reviews?

Automatic Reconfiguration: Simplifies management tasks.
Impressive SQL Performance: Supports complex queries efficiently.
Scalability: Handles large datasets with a multi-node setup.

Top banks and fintech companies leverage SingleStore for efficient management of financial data, while media and telecom industries use it for scalable metadata management and improved data processing. Retail and eCommerce sectors benefit from enhanced transactional capabilities, reducing the need for separate databases and optimizing reporting processes. SingleStore's capacity to unite diverse workloads makes it a strategic choice across many sectors.

SingleStore

Sample Customers

Bloomberg, Wells Fargo, Apple, Capital One, NVIDIA

400+ customers including: 6sense, Adobe, Akamai, Ant Money, Arcules, CARFAX, Cigna, Cisco, Comcast, DELL, DBS Bank, Dentsu, DirectlyApply, EY, Factors.AI, Fathom Analytics, FirstEnergy, GE, Goldman Sachs, Heap, Hulu, IMAX, impact.com, Kroger, LG, LiveRamp, Lumana, Nvidia, OpenDialog, Outreach, Palo Alto Networks, PicPay, RBC, Samsung, SegMetrics, Siemens, SiteImprove, SiriusXM, SK Telecom, SKAI, SONY, STC, SunRun, TATA, Thorn, ZoomInfo.

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