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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 May 2025, in the Cloud Data Warehouse category, the mindshare of Amazon Redshift is 7.4%, down from 8.9% compared to the previous year. The mindshare of Vertica is 5.7%, up from 5.3% 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 stability of Amazon Redshift is good."
"If the analyst knows SQL, which is comfortable and easy to use to go between all of these tool stacks, I think it's reliable. It's a secure and reliable data warehouse."
"It is quite simple to use and there are no issues with creating the tables."
"Redshift Spectrum is the most valuable feature."
"It allows for the storage of huge amounts of data."
"Amazon Redshift offers a relatively flexible structure...I rate the technical support a nine out of ten."
"The ability to reload data multiple times at different times."
"It allows you write complex queries and perform row by row processes."
"The feature I like best is performance. We use Red Tool and Red Job for the data warehouse and reporting. It's perfect. Performance is good, and it can return ad hoc queries very quickly. Of course, it's a cluster, so it's easy to scale."
"DBAs don’t need to add a partition every month/quarter like with other DBs."
"The initial setup was straightforward."
"The most valuable feature of Vertica is the ability to receive large aggregations at a very quick pace. The use case of subclusters is very good."
"Partition and join back to node are easy and simple for DBAs."
"Allows us to take volumes and process them at a very high speed."
"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 product's initial setup phase is extremely simple."
 

Cons

"I would like to improve the pricing and the simplicity of using this solution."
"In the next release, a pivot function would be a big help. It could save a lot of time creating a query or process to handle operations."
"For people who struggle with IAM or role-based management, the setup isn't easy."
"The speed of the solution and its portability needs improvement."
"Query compilation time needs a lot of improvement for cases where you are generating queries dynamically."
"The initial deployment was complex."
"There is some missing functionality and sometimes it's so difficult to work in. We need to convert these functionalities using VACUUM inside Amazon Redshift and then it causes some complexity."
"It takes a lot of time to ingest and update the data."
"Suboptimal projection design causes queries to not scale linearly."
"Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."
"I believe the installation process could be streamlined."
"They could improve the integration and some of the features in the cloud version."
"The geospatial functionality could be designed better."
"The documentation of Vertica is an area with shortcomings where improvements are required."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"We faced some challenges when trying to use the temporary tables feature."
 

Pricing and Cost Advice

"The pricing is reasonable."
"The price of the solution is reasonable. According to the RA3 cluster particularly, it provides 128 GB of storage with only four nodes. If you can manage your computations processes with the help of materialized views and proper queries. I think the IP clusters are very useful and overall fair for the price."
"It's pay per use. You can have multiple models."
"One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project."
"The product is quite expensive."
"The cost is comparable to Snowflake."
"This solution implements the pay-as-you-use model, so no license. Pricing could be cheaper."
"For Amazon Redshift, we pay around INR 60,000 annually. The cost factor also depends on the number of existing customers."
"The solution is free and we pay for the storage."
"Vertica is an expensive tool."
"The price of Vertica is less expensive than some competitors, such as Teradata."
"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."
"It's free up to three nodes and 1TB, and then get in contact with their sales guys."
"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."
"It's an expensive product"
"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."
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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
62%
Financial Services Firm
7%
Computer Software Company
6%
Manufacturing Company
4%
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.
849,686 professionals have used our research since 2012.