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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
67
Ranking in other categories
No ranking in other categories
Vertica
Ranking in Cloud Data Warehouse
8th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
86
Ranking in other categories
Data Warehouse (5th)
 

Mindshare comparison

As of January 2025, in the Cloud Data Warehouse category, the mindshare of Amazon Redshift is 7.8%, down from 11.1% compared to the previous year. The mindshare of Vertica is 6.2%, up from 5.7% 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

"It's very easy to migrate from other databases to Redshift. There are migration tools dedicated for this purpose, enabling migration from other databases like MS SQL directly to Redshift. The majority of the scripts will be automatically transposed."
"With the APIs that are available, it can be easily integrated with other tools."
"The solution has very competitive pricing."
"This service can merge and integrate well with all databases."
"The stability of Amazon Redshift is good."
"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."
"I like it because the usage is very similar to Microsoft SQL server. The structure of the query and the temporary tables are very similar."
"We have found Machine Learning use cases are very nice."
"The solution was executed quite quickly due to its columnar storage underground, which is the most valuable feature of our company"
"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."
"Vertica is a great product because customers can compress and code data. The infrastructure that data warehouse solutions need is a commodity server so that customers don't have to invest in infrastructure."
"The performance is very good and the aggregate records are fast."
"The solution is quick, has good compression data, and is not expensive."
"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."
"Speed and resiliency are probably the best parts of this product."
"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."
 

Cons

"It is difficult to work with unstructured data and JSON documents."
"It would be good to see Redshift as a serverless offering."
"There are physically too many pipelines for a company of this size to maintain. For a data scientist, it's very difficult to learn the data in all of these different environments."
"Amazon should provide more cloud-native tools that can integrate with Redshift like Microsoft's development tools for Azure."
"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."
"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."
"Improvement in the immediate response and the process of getting into a call could be helpful."
"The customer support could be more responsive."
"It should provide a GUI interface for data management and tuning."
"I have found that coding support could be simplified."
"I think they need an easy client so that you can write queries easily, but it's not necessarily a weak point. I think some users would need them."
"It needs integration with multiple clouds."
"I believe the installation process could be streamlined."
"Limitations in group by projections is where I would like to see an improvement."
"Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be."
"The product could improve by adding support for a wider variety of data types and enhancing features to better compete with other databases."
 

Pricing and Cost Advice

"Redshift is very cost effective for a cloud based solution if you need to scale it a lot. For smaller data sizes, I would think about using other products."
"BI is sold to our customer base as a part of the initial sales bundle. A customer may elect to opt for a white labeled site for an up-charge."
"At the moment, pricing is a little bit on the higher side, although it depends on the size of the company."
"I have heard complaints about the solution’s pricing, and thus I rate it as a five."
"One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project."
"Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive."
"The cost must be improved."
"It's pay per use. You can have multiple models."
"It's free up to three nodes and 1TB, and then get in contact with their sales guys."
"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."
"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).​"
"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 difficult today to compete with open-source solutions. In these areas, there is a lot of competition and the price of this solution is a bit pricy."
"The pricing for this solution is very reasonable compared to other vendors."
"The price could be cheaper and it is best to negotiate the price."
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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
63%
Financial Services Firm
7%
Computer Software Company
5%
Manufacturing Company
3%
Computer Software Company
18%
Financial Services Firm
18%
Manufacturing Company
8%
University
5%
 

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: January 2025.
831,265 professionals have used our research since 2012.