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

Amazon Redshift vs Vertica comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 18, 2024

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

Amazon Redshift
Ranking in Cloud Data Warehouse
5th
Average Rating
7.8
Reviews Sentiment
6.9
Number of Reviews
70
Ranking in other categories
No ranking in other categories
Vertica
Ranking in Cloud Data Warehouse
11th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
86
Ranking in other categories
Data Warehouse (5th)
 

Mindshare comparison

As of April 2025, in the Cloud Data Warehouse category, the mindshare of Amazon Redshift is 7.2%, down from 9.2% compared to the previous year. The mindshare of Vertica is 5.6%, up from 5.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Warehouse
 

Featured Reviews

Ved Prakash Yadav - PeerSpot reviewer
Works as a data warehouse system and collects data from different sources
In terms of improvement, I believe Amazon Redshift could work on reducing its costs, as they tend to increase significantly. Additionally, there are occasional issues with nodes going down, which can be problematic. We often encounter issues like someone dropping a column or changing the order of columns, which can cause synchronization problems when pushing data through our pipeline. It's a minor issue, but it can be annoying.
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 initial setup of this solution is straightforward."
"The most valuable features are that it's easy to set up and easy to connect the many tools that connect to it."
"The valuable features are performance, data compression, and scalability."
"The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing."
"The solution's speed, stability, and user concurrency have been very good."
"I find the most valuable features to be the MPP style of processing, which mostly all of the data warehouses provide. The ability to integrate all other AWS services, such as NSS and S3, with little effort is very helpful. The service is well maintained, there are update patches frequently."
"Its simplicity in configuration, cost-effectiveness due to being in the cloud and close to our data sources, and the fact that it's a managed service that is scalable and reliable are highly valuable."
"It allows you write complex queries and perform row by row processes."
"The initial setup was straightforward."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"Integrated R and geospatial functions are helping us improve efficiency and explore new revenue streams. ​"
"The hardware usage and speed has been the most valuable feature of this solution. It is very fast and has saved us a lot of money."
"DBAs don’t need to add a partition every month/quarter like with other DBs."
"The solution is quick, has good compression data, and is not expensive."
"We are able to integrate our Vertica data warehouse with Tableau to create numerous reports quickly and efficiently."
"I have found the solution to be scalable."
 

Cons

"In our experiments, the handling of unstructured data was not very smooth."
"Improvement in the immediate response and the process of getting into a call could be helpful."
"It would be nice if we could turn off an instance. However, it would retain the instance in history, thus allowing us to restart without beginning from scratch."
"Query compilation time needs a lot of improvement for cases where you are generating queries dynamically."
"The explain panel in the Redshift database could be better."
"It would be good to see Redshift as a serverless offering."
"The solution could improve in handling more data formats and more native support for RDF."
"In the solution, user-based access is quite hard. In general, certain permissions are difficult to manage."
"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."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."
"Vertica's native cloud support could be improved, and its installation could be made easier."
"In our company, we have faced difficulties in scaling the solution for certain use cases."
"Limitations in group by projections is where I would like to see an improvement."
"Documentation has become much better, but can always use some 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."
 

Pricing and Cost Advice

"It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20."
"It's not very pricey compared to other tools. I would rate the price as 5 out of 10."
"One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project."
"The pricing is reasonable."
"For Amazon Redshift, we pay around INR 60,000 annually. The cost factor also depends on the number of existing customers."
"On a scale of one to ten, where one is a low price and ten is a high price, I rate the pricing a seven."
"The solution is available at a mid-range price compared to other vendors."
"If you want a fixed price, an to not worry about every query, but you need to manage your nodes personally, use Redshift."
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
"Read the fine print carefully."
"The solution is relatively cost-effective."
"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."
"The pricing and licensing depend on the size of your environment and the zone where you want to implement."
"Vertica is an expensive tool."
"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."
report
Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
847,772 professionals have used our research since 2012.
 

Answers from the Community

Miriam Tover - PeerSpot reviewer
Jul 16, 2019
Jul 16, 2019
I am assuming you are asking me a question. I have similar points like the one you sent in the link. However, I will narrow it down further with highlighted ones that matter. Redshift is cloud-native so not a good idea if you also need a data center. It does not support document store, so that's another limitation. Vertica works for the hybrid environment and also supports more APIs and suppor...
See 2 answers
KF
Jul 15, 2019
* Flexibility of deployment: Amazon Redshift can only be deployed on the AWS. Redshift lacks support for the hybrid cloud-and-on premises data warehousing combinations. Vertica’s industry-leading deployment options allow customers to run Vertica on AWS, Azure, Google Cloud Platform, on-premise, and on Hadoop. * Speed: The query execution performance of Vertica and Redshift and some of the differentiators in the two products with Vertica query response times on the 5 TB dataset, 20 concurrent user test, for example, were 3.4 times faster. Also, when over 100 users are simultaneously running queries on the same data, Amazon Redshift’s performance degrades considerably, leading to hours or even days of query response times. Which of these two solutions would you recommend to a colleague evaluating cloud data warehouses and why? Vertica. As Vertica has flexibility as your data warehouse evolves long term with best in class speed.
RV
Jul 16, 2019
I am assuming you are asking me a question. I have similar points like the one you sent in the link. However, I will narrow it down further with highlighted ones that matter. Redshift is cloud-native so not a good idea if you also need a data center. It does not support document store, so that's another limitation. Vertica works for the hybrid environment and also supports more APIs and supports all familiar languages. Look at more features as given in the below table and decide. I would go with Vertica if there is a hybrid cloud, needs document store, secondary indexes are a critical need and need support for more APIs (as given in the table). For AWS native environment, go with RedShift. Amazon Redshift X: Description: Large scale data warehouse service for use with business intelligence tools. Primary database model: Relational DBMS Secondary database models: Key-value store Website: aws.amazon.com/­redshift Technical documentation: docs.aws.amazon.com/­redshift Developer: Amazon (based on PostgreSQL) License: commercial Cloud-based only: Yes XML Support: No Secondary indexes: Restricted SQL: Yes APIs and other access methods: JDBC, ODBC Supported programming languages: All languages supporting JDBC/ODBC Server-side scripts: User-defined functions Triggers: No Vertica X: Description: Columnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance. Primary database model: Relational DBMS Secondary database models: Key-value store, Document store Website: www.vertica.com Technical documentation: www.vertica.com/­documentation/­vertica Developer: Vertica / Micro Focus License: Commercial Cloud-based only: No XML Support: Yes Secondary indexes: No SQL: Yes APIs and other access methods: Kafka, Proprietary protocol, RESTful HTTP API, ADO.NET, JDBC, ODBC Supported programming languages: C++, Java, Perl, Python, R Server-side scripts: Yes Triggers: No
 

Top Industries

By visitors reading reviews
Educational Organization
64%
Financial Services Firm
6%
Computer Software Company
5%
Manufacturing Company
3%
Financial Services Firm
19%
Computer Software Company
18%
Manufacturing Company
7%
University
4%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?
Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different dat...
What do you like most about Amazon Redshift?
The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good.
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

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Find out what your peers are saying about Amazon Redshift vs. Vertica and other solutions. Updated: April 2025.
847,772 professionals have used our research since 2012.