Try our new research platform with insights from 80,000+ expert users

Citus Data 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

Citus Data
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
3
Ranking in other categories
Relational Databases Tools (22nd)
Vertica
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
86
Ranking in other categories
Data Warehouse (5th), Cloud Data Warehouse (11th)
 

Mindshare comparison

Citus Data and Vertica aren’t in the same category and serve different purposes. Citus Data is designed for Relational Databases Tools and holds a mindshare of 2.4%, up 1.2% compared to last year.
Vertica, on the other hand, focuses on Data Warehouse, holds 8.6% mindshare, down 8.7% since last year.
Relational Databases Tools
Data Warehouse
 

Featured Reviews

Arucy Lionel - PeerSpot reviewer
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.
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

"You can use Citus Data to write complex scripts. I like its version upgrades and disaster recovery as well."
"It's very straightforward to implement the solution. It took us two days to set up everything."
"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."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."
"I don't need any special hardware. I can use commodity hardware, which is nice to have in a commercial solution."
"I enjoy the cybersecurity and backup features."
"Integrated R and geospatial functions are helping us improve efficiency and explore new revenue streams. ​"
"Vertica enabled us to close large deals. Customers with large data sets had to be migrated from PostgreSQL to Vertica due to performance."
"I appreciate the flexibility offered by Vertica's projections. It allows for modifying the primary projection without altering the tables, which helps to optimize queries without the need to modify the underlying data."
"The solution is quick, has good compression data, and is not expensive."
 

Cons

"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."
"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."
"Limitations in group by projections is where I would like to see an improvement."
"Vertica seems to scale well, except for one use case where you are on a multi-node cluster. For example, if you had a nine-node cluster, one node goes down, then the eight nodes don't scale, because the absence of the node is very apparent, which is a problem. If you have nine nodes or multiple nodes, the whole idea is that if one of those nodes goes down, then you should not see an impact on the system if you have enough capacity. Even though we have enough capacity, you can still see the impact of the one node going down."
"The geospatial functionality could be designed better."
"One feature, which has really benefited us, is the scalability offered by Vertica as it has enabled Pythian's clients to manage data with agility."
"Documentation has become much better, but can always use some improvement."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"I have found that coding support could be simplified."
"In our company, we have faced difficulties in scaling the solution for certain use cases."
 

Pricing and Cost Advice

"Citus Data is an open-source product."
"Start with license per 1TB. Starting from hundreds of TB there is unlimited licensing to be considered. Move historical data to HDFS/S3 which are significantly cheaper or even free."
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
"The solution is free and we pay for the storage."
"I think it's starting to get a little expensive. Open source products are starting to get more robust, so I think that's something that they need to start looking at in terms of licensing."
"Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis."
"It's an expensive product"
"From a cost perspective, the software is less than most of its competitors."
"I am aware that we have licensed it, but I have no knowledge of its cost."
report
Use our free recommendation engine to learn which Relational Databases Tools solutions are best for your needs.
849,190 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
23%
Financial Services Firm
9%
Manufacturing Company
9%
Comms Service Provider
7%
Financial Services Firm
19%
Computer Software Company
18%
Manufacturing Company
7%
University
4%
 

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 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

Cloud Flare, Agari, Mix Rank, Heap
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools. Updated: March 2025.
849,190 professionals have used our research since 2012.