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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

"I like the cost-benefit ratio, meaning that it is as easy to use as it is powerful and well-performing."
"The solution's speed, stability, and user concurrency have been very good."
"Redshift COPY command, because much of my work involved helping customers migrate large amounts of data into Redshift."
"Amazon Redshift's performance optimization and scalability are quite helpful, providing functionalities such as scaling up and down."
"Redshift Spectrum is the most valuable feature."
"Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there."
"The valuable features are performance, data compression, and scalability."
"The stability of Amazon Redshift is good."
"Vertica is a columnar database where the query performance is extremely fast and it can be used for real-time integrations for API and other applications. The solution requires zero maintenance which is helpful."
"Any novice user can tune vertical queries with minimal training (or no training at all)."
"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."
"I don't need any special hardware. I can use commodity hardware, which is nice to have in a commercial solution."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"The Vertica architecture means it can process/ingest data in parallel to reporting and analyzing because of its in-memory Write-Optimized Storage sitting alongside the analytics optimized Read-Optimized Storage."
"Eighty percent of the ETL operations have improved since implementing this solution."
"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."
 

Cons

"We are using third-party tools to integrate Amazon Redshift, they should create their own interface on their own for it to be easily connected on the AWS itself."
"The initial deployment was complex."
"It is not easy to deal with queries in Amazon Redshift and see the same data."
"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."
"The solution is unable to work fast."
"It takes a lot of time to ingest and update the data."
"They should provide a better way to work with interim data in a structured way than to store it in parquet files locally."
"Improvement could be made in the area of streaming data."
"I have found that coding support could be simplified."
"In our company, we have faced difficulties in scaling the solution for certain use cases."
"Vertica's native cloud support could be improved, and its installation could be made easier."
"The integration with AI has room for improvement."
"Documentation has become much better, but can always use some improvement."
"Support is an area where it could get better."
"They could improve the integration and some of the features in the cloud version."
"It's hard to make it slow for a small data volume. For large volumes, it's hard to make it work. It's also hard to make it faster, and to make it scale."
 

Pricing and Cost Advice

"The cost is comparable to Snowflake."
"The product is quite expensive."
"At the moment, pricing is a little bit on the higher side, although it depends on the size of the company."
"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."
"For Amazon Redshift, we pay around INR 60,000 annually. The cost factor also depends on the number of existing customers."
"The cost will depend on how you set up your warehouse and what kind of data you store."
"It is an expensive product."
"It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20."
"It's an expensive product"
"Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
"The price could be cheaper and it is best to negotiate the price."
"The solution is free and we pay for the storage."
"Read the fine print carefully."
"It's free up to three nodes and 1TB, and then get in contact with their sales guys."
"The pricing depends on the license model because there are several. It depends on the client, but it's cheaper than other solutions. I think it's cheap for all the functionality and robustness. It's not very expensive to deploy."
"The pricing for this solution is very reasonable compared to other vendors."
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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
59%
Financial Services Firm
8%
Computer Software Company
6%
Manufacturing Company
3%
Financial Services Firm
19%
Computer Software Company
17%
Manufacturing Company
7%
Real Estate/Law Firm
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: May 2025.
851,604 professionals have used our research since 2012.