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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
7.1
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 1.6%, up 0.8% compared to last year.
Vertica, on the other hand, focuses on Data Warehouse, holds 8.8% mindshare, up 8.8% 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

"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."
"The product can automatically reinstall and reconfigure in case of a shutdown."
"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 product's initial setup phase was pretty straightforward, with no complex processes."
"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."
"We are able to integrate our Vertica data warehouse with Tableau to create numerous reports quickly and efficiently."
"Vertica is a columnar database, this support our developments in analytics, advanced analytics, and ETL process with large sets of data."
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"Integrated R and geospatial functions are helping us improve efficiency and explore new revenue streams. ​"
"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 feature of the product that is most important is the speed. I needed a columnar database, and its speed is what it's built to do, and so that's what really does differentiate Vertica from its competitors."
"The solution is quick, has good compression data, and is not expensive."
"I don't need any special hardware. I can use commodity hardware, which is nice to have in a commercial solution."
 

Cons

"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."
"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."
"Having the ability to migrate servers using a single command would be extremely beneficial."
"The product can be developed further to provide more appropriate output to users as it is one of the areas where there are shortcomings."
"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."
"We don't get good discounts in Pakistan."
"Whatever's out, the core is not always as great as the engine, especially their first version."
"Very bad support, I would rate it two out of 10."
"Performance of management of metadata layer (database catalog) needs improvement. We still have to have smaller customers on PostgreSQL; Vertica cannot manage thousands of schemata."
"Suboptimal projection design causes queries to not scale linearly."
"The integration with AI has room for improvement."
"There are a lot of limitations within this product and it makes things extremely hard for developers. It lacks Stored Procedure, packages, and triggers like other RDBMs."
"I have found that coding support could be simplified."
"Metadata for database files scale okay, but metadata related to tables/columns/sequences must be stored on all nodes."
 

Pricing and Cost Advice

"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."
"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."
"The product's licensing is not expensive. It is comparable."
"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."
"SingleStore is a bit expensive."
"The price of Vertica is less expensive than some competitors, such as Teradata."
"The pricing and licensing depend on the size of your environment and the zone where you want to implement."
"Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis."
"I am aware that we have licensed it, but I have no knowledge of its cost."
"The solution is free and we pay for the storage."
"It's free up to three nodes and 1TB, and then get in contact with their sales guys."
"From a cost perspective, the software is less than most of its competitors."
"Read the fine print carefully."
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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
18%
Computer Software Company
18%
Manufacturing Company
7%
Real Estate/Law Firm
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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