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SingleStore vs Vertica 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

SingleStore
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
7
Ranking in other categories
Database as a Service (DBaaS) (7th), Vector Databases (13th)
Vertica
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
86
Ranking in other categories
Data Warehouse (5th), Cloud Data Warehouse (10th)
 

Mindshare comparison

SingleStore and Vertica aren’t in the same category and serve different purposes. SingleStore is designed for Database as a Service (DBaaS) and holds a mindshare of 1.7%, up 0.8% compared to last year.
Vertica, on the other hand, focuses on Data Warehouse, holds 8.5% mindshare, up 8.6% since last year.
Database as a Service (DBaaS)
Data Warehouse
 

Q&A Highlights

it_user1272297 - PeerSpot reviewer
Apr 19, 2020
 

Featured Reviews

Hitesh Kunchakuri - PeerSpot reviewer
A reasonably priced product that offers good speed and seamless support
Currently, I can't think of any areas that require improvement because SingleStore was recently launched in the market. The product can be developed further to provide more appropriate output to users as it is one of the areas where there are shortcomings. The current SingleStore model provides output based on the RANK function. If a user searches for a liquor bottle, then with all the data the product has, it will search for the liquor bottle in the data, and based on a match, the product has an algorithm to rank the product because of which the paragraph that has the best match will be ranked as a 100, the next one as 99, following which the next product will be ranked as 98 and so on. The output from the solution will fetch you all the 100 products that are available in a store, but sometimes a user might require a product with a 97 or 98 percent match from the DB, meaning the product doesn't always work to provide a 100 percent match, an area I feel that can be optimized in the product. Currently, SingleStore's features are excellent as it can read documents, images, and everything. The product works seamlessly for me.
T Venkatesh - PeerSpot reviewer
Processes query faster through multiple systems simultaneously, but it could support different data types
We use the solution for various tasks, including preparing data marts and generating offers. It helps extract data based on rules from the policy team and provides insights to enhance business operations. We also analyze transactions to target customers and improve business performance The…

Quotes from Members

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

Pros

"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."
"The ability to store data in memory is a standout feature, enhanced by robust failover mechanisms."
"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 product can automatically reinstall and reconfigure in case of a shutdown."
"The product's initial setup phase was pretty straightforward, with no complex processes."
"The most valuable feature is Vertica's performance and the ease of using the database."
"Vertica has a few features that I like. From an architecture standpoint, they have separated compute and storage. So you have low-cost object storage for primary storage and the ability to have several sub-clusters working off the same ObjectStore. So it provides workload isolation."
"The Vertica architecture means it can process/ingest data in parallel to reporting and analyzing because of its in-memory Write-Optimized Storage sitting alongside the analytics optimized Read-Optimized Storage."
"The product's initial setup phase is extremely simple."
"The solution is quick, has good compression data, and is not expensive."
"Initiate on one node, and the RPM propagates automatically to all other nodes. ​"
"Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data."
"It maximize cloud economics for mission-critical big data analytical initiatives."
 

Cons

"The product can be developed further to provide more appropriate output to users as it is one of the areas where there are shortcomings."
"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."
"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."
"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."
"Very bad support, I would rate it two out of 10."
"The biggest problem is the cost of cloud deployment."
"We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well."
"They could improve on customer service."
"Fact-to-fact joins on multi-billion record tables perform poorly."
"When it is about to reach the maximum storage capacity, it becomes slow."
"It's hard to make it slow for a small data volume. For large volumes, it's hard to make it work. It's also hard to make it faster, and to make it scale."
"Support is an area where it could get better."
 

Pricing and Cost Advice

"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."
"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."
"SingleStore is a bit expensive."
"The price of the product is okay compared to the other available solutions in the market. SingleStore is a reasonably priced product, considering the functions it offers."
"The solution is relatively cost-effective."
"The first TB is free and you can use all the Vertica features. After 1TB you have to pay for licensing. The product is worth it, but be aware of this condition, and plan. The compression ratio is explained in the documentation."
"The price is reasonable. We use a pay per license model. Firstly, you need to buy a license. After that, you mainly pay the annual support fee of around 20% or 25%. I think their prices are quite reasonable."
"Vertica is an expensive tool."
"The price could be cheaper and it is best to negotiate the price."
"The price of Vertica is less expensive than some competitors, such as Teradata."
"The pricing for this solution is very reasonable compared to other vendors."
"It is fast to purchase through the AWS Marketplace."
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Answers from the Community

it_user1272297 - PeerSpot reviewer
Apr 19, 2020
Apr 19, 2020
I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505
2 out of 4 answers
Russell Rothstein - PeerSpot reviewer
Jan 27, 2020
Morten, the most popular comparisons of SQream can be found here: https://www.itcentralstation.com/products/sqream-db-alternatives-and-competitors The top ones include Cassandra, MemSQL, MongoDB, and Vertica.
reviewer1219965 - PeerSpot reviewer
Jan 27, 2020
I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505
 

Top Industries

By visitors reading reviews
Financial Services Firm
33%
Computer Software Company
13%
Healthcare Company
5%
Manufacturing Company
5%
Financial Services Firm
19%
Computer Software Company
18%
Manufacturing Company
8%
University
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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...
What do you like most about Vertica?
Vertica is easy to use and provides really high performance, stability, and scalability.
What is your experience regarding pricing and costs for Vertica?
The solution is relatively cost-effective. Pricing and licensing are reasonable compared to other solutions.
What needs improvement with Vertica?
The product could improve by adding support for a wider variety of data types and enhancing features to better compete with other databases.
 

Comparisons

 

Also Known As

No data available
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Overview

 

Sample Customers

6Sense, ADNOC, Adobe, Akamai, CARFAX, Cigna, Cisco, Comcast, DBS Bank, Dell, Dentsu, EY, FirstEnergy, GE, Goldman Sachs, Heap, Hulu, IMAX, Kakao, Kroger, LG, LiveRamp, Lumana, NBC, OpenDialog, Outreach, Palo Alto Networks, PicPay, RBC, Samsung, Siemens, SiriusXM, SK Telecom, SKAI, Sony, State Street Financial, STC, SunRun, TATA, Thorn, and ZoomInfo.
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
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