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Cloudera Distribution for Hadoop vs SingleStore comparison

 

Comparison Buyer's Guide

Executive Summary

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

Cloudera Distribution for H...
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
51
Ranking in other categories
Hadoop (1st), NoSQL Databases (8th)
SingleStore
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
6
Ranking in other categories
Database as a Service (DBaaS) (12th), Vector Databases (15th)
 

Mindshare comparison

While both are Databases solutions, they serve different purposes. Cloudera Distribution for Hadoop is designed for Hadoop and holds a mindshare of 21.9%, down 26.4% compared to last year.
SingleStore, on the other hand, focuses on Database as a Service (DBaaS), holds 2.7% mindshare, up 1.1% since last year.
Hadoop Market Share Distribution
ProductMarket Share (%)
Cloudera Distribution for Hadoop21.9%
Apache Spark19.0%
HPE Ezmeral Data Fabric14.4%
Other44.7%
Hadoop
Database as a Service (DBaaS) Market Share Distribution
ProductMarket Share (%)
SingleStore2.7%
Amazon RDS19.1%
MongoDB Atlas14.0%
Other64.2%
Database as a Service (DBaaS)
 

Featured Reviews

Rok Dolinsek - PeerSpot reviewer
Enables on-premise implementation with powerful data processing capabilities
This is the only solution that is possible to install on-premise. Cloudera provides a hybrid solution that combines compute on cloud or on-premises. It includes all machine learning algorithms in the Spark machine learning library. All functionalities needed for a big data platform and ETL are on the platform, eliminating the need for other tools. It is scalable, ready for vertical scaling, and very powerful, offering numerous functionalities and configurations for generative AI.
Yasin Sarı - PeerSpot reviewer
High-speed data processing, seamless scalability, and excellent high availability making it an optimal choice for those prioritizing performance and efficiency in a database solution
There's a noteworthy consideration when it comes to collecting massive amounts of data. It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks. Attempting to use it for direct extraction, for instance, might lead to memory-related challenges. While MySQL version five might lack extensive SQL capabilities, SingleStore also has its constraints, requiring simpler SQL writing. This becomes evident when seeking advanced functionalities like window functions or JSON functions, where SingleStore doesn't offer an extensive toolkit, necessitating a more straightforward approach to SQL.

Quotes from Members

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

Pros

"Customer service and support were able to fix whatever the issue was."
"It is helpful to gather and process data."
"We also really like the Cloudera community. You can have any question and will have your answer within a few hours."
"Provides a viable open-source solution for enterprise implementations and reliable, intelligent data analysis."
"We're now able to store large volumes of data through Cloudera Distribution for Hadoop. We're able to push large volumes of data to the platform, and that used to be a challenge, especially when storing a terabyte of information. This is the area where Cloudera Distribution for Hadoop improved the organization."
"The search function is the most valuable aspect of the solution."
"The data science aspect of the solution is valuable."
"Cloudera is a very manageable solution with good support."
"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."
"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."
"The paramount advantage is the exceptional speed."
"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."
"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."
 

Cons

"There are multiple bugs when we update."
"The initial setup of Cloudera is difficult."
"They should focus on upgrading their technical capabilities in the market."
"The performance of some analytics engines provided by Cloudera is not that good."
"The pricing needs to improve."
"It would be useful if Cloudera had more tools like SQL Engines that offer the traditional relational database. We have to do a lot of work preparing the data outside Cloudera before getting it into the platform."
"While the deployed product is generally functional, there are instances where it presents difficulties."
"This is a very expensive solution."
"We don't get good discounts in Pakistan."
"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."
"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."
"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."
"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."
 

Pricing and Cost Advice

"I believe we pay for a three-year license."
"I wouldn't recommend CDH to others because of its high cost."
"The solution is fairly expensive."
"The price could be better for the product."
"It is an expensive product."
"When comparing with Oracle Sybase and SQL, it's cheaper. It's not expensive."
"The tool is not expensive."
"Cloudera Distribution for Hadoop is expensive, with support costs involved."
"The product's licensing is not expensive. It is comparable."
"SingleStore is a bit expensive."
"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."
"I would advise users to try the free 128GB version."
"They have two main options: cloud installation and bare-metal installation, each with different pricing models."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Educational Organization
18%
Computer Software Company
11%
Energy/Utilities Company
6%
Financial Services Firm
32%
Computer Software Company
12%
Comms Service Provider
6%
University
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise9
Large Enterprise31
By reviewers
Company SizeCount
Small Business4
Large Enterprise3
 

Questions from the Community

What do you like most about Cloudera Distribution for Hadoop?
The tool can be deployed using different container technologies, which makes it very scalable.
What is your experience regarding pricing and costs for Cloudera Distribution for Hadoop?
The price for Cloudera is average, yet it is very good compared to other solutions. It can be deployed on-premises, unlike competitors' cloud-only solutions.
What needs improvement with Cloudera Distribution for Hadoop?
If they could support modifying the data more easily than the current implementation, it would be beneficial.
What do you like most about SingleStore DB?
The paramount advantage is the exceptional speed.
What is your experience regarding pricing and costs for SingleStore DB?
Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure. While building an on-premise cluster incurs an initial cost for servers with ample RAM...
What needs improvement with SingleStore DB?
There's a noteworthy consideration when it comes to collecting massive amounts of data. It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation...
 

Overview

 

Sample Customers

37signals, Adconion,adgooroo, Aggregate Knowledge, AMD, Apollo Group, Blackberry, Box, BT, CSC
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.
Find out what your peers are saying about Cloudera, Apache, Amazon Web Services (AWS) and others in Hadoop. Updated: September 2025.
870,623 professionals have used our research since 2012.