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Citus Data vs SingleStore comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Citus Data
Average Rating
8.0
Number of Reviews
3
Ranking in other categories
Relational Databases Tools (21st)
SingleStore
Average Rating
8.8
Number of Reviews
7
Ranking in other categories
Database as a Service (DBaaS) (7th), Vector Databases (12th)
 

Mindshare comparison

While both are Databases solutions, they serve different purposes. Citus Data is designed for Relational Databases Tools and holds a mindshare of 1.7%, up 1.2% compared to last year.
SingleStore, on the other hand, focuses on Database as a Service (DBaaS), holds 1.2% mindshare, up 0.8% since last year.
Relational Databases Tools
Database as a Service (DBaaS)
 

Featured Reviews

Arucy Lionel - PeerSpot reviewer
Nov 20, 2023
Efficiently handles high-traffic scenarios and compatible with PostgreSQL extensions, offering flexibility in database management
There are many areas of improvement , especially in terms of DDL query routing. Even though it's masterless, DDL queries need to be sent to the coordinator node. Also, setting up a multi-node environment could be more straightforward. Currently, setting up a multi-node environment is challenging. It's a bit tricky. Installation on each PostgreSQL node can lead to communication issues between nodes. An automatic rebalancing feature would be a significant improvement. Currently, I have to manually command the rebalance. It would be more convenient if it was rebalanced automatically. The dashboard and monitoring capabilities are good, but it would be helpful to have an integrated availability dashboard.
Hitesh Kunchakuri - PeerSpot reviewer
Dec 18, 2023
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.

Quotes from Members

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

Pros

"Its distributed processing capabilities are a standout feature. It requires minimal changes to get up and running if you already have a system on PostgreSQL. Citus can run in its natural state."
"It's very straightforward to implement the solution. It took us two days to set up everything."
"You can use Citus Data to write complex scripts. I like its version upgrades and disaster recovery as well."
"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."
"The product's initial setup phase was pretty straightforward, with no complex processes."
"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."
"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."
"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."
 

Cons

"Citus Data needs to improve its stability. Do not consider this product if you have the budget. It is still developing and has a lot of issues."
"There are many areas of improvement , especially in terms of DDL query routing. Even though it's masterless, DDL queries need to be sent to the coordinator node. Also, setting up a multi-node environment could be more straightforward."
"More features in monitoring and the reporting could make it better."
"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."
"The product can be developed further to provide more appropriate output to users as it is one of the areas where there are shortcomings."
"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."
"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."
"We don't get good discounts in Pakistan."
"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

"Citus Data is an open-source product."
"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."
"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 product's licensing is not expensive. It is comparable."
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Top Industries

By visitors reading reviews
Computer Software Company
18%
Financial Services Firm
11%
Manufacturing Company
11%
Comms Service Provider
8%
Financial Services Firm
30%
Computer Software Company
14%
Manufacturing Company
6%
Retailer
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Citus Data?
You can use Citus Data to write complex scripts. I like its version upgrades and disaster recovery as well.
What needs improvement with Citus Data?
Citus Data needs to improve its stability. Do not consider this product if you have the budget. It is still developing and has a lot of issues.
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...
 

Comparisons

 

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Overview

 

Sample Customers

Cloud Flare, Agari, Mix Rank, Heap
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.
Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools. Updated: October 2024.
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