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Amazon Redshift vs Vertica comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Amazon Redshift
Ranking in Cloud Data Warehouse
4th
Average Rating
7.8
Reviews Sentiment
7.4
Number of Reviews
66
Ranking in other categories
No ranking in other categories
Vertica
Ranking in Cloud Data Warehouse
7th
Average Rating
8.2
Reviews Sentiment
7.6
Number of Reviews
86
Ranking in other categories
Data Warehouse (4th)
 

Mindshare comparison

As of November 2024, in the Cloud Data Warehouse category, the mindshare of Amazon Redshift is 7.7%, down from 11.9% compared to the previous year. The mindshare of Vertica is 6.2%, up from 5.8% 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

"Has a very user-friendly SQL editor and it's very easy to use the connectors."
"I am satisfied with the performance of the product."
"Though Amazon Redshift is good, it depends on what kind of business you're trying to do, what type of analytics you need, and how much data you have."
"The solution's speed, stability, and user concurrency have been very good."
"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."
"With the APIs that are available, it can be easily integrated with other tools."
"Amazon Redshift is very fast. It has really good response times. It's very user-friendly."
"We have found Machine Learning use cases are very nice."
"The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."
"Its analytics has enabled Pythian's clients to get the business insights as quick as they wanted. Its lower maintenance has also improved the ROI."
"DBAs don’t need to add a partition every month/quarter like with other DBs."
"Initiate on one node, and the RPM propagates automatically to all other nodes. ​"
"The solution was executed quite quickly due to its columnar storage underground, which is the most valuable feature of our company"
"I enjoy the cybersecurity and backup features."
"I like the projection feature, which increases query performance."
"Speed and resiliency are probably the best parts of this product."
 

Cons

"The refreshment rate of data reaching Redshift from other sources should be faster."
"There are too many limitations with respect to concurrency."
"The product must become a bit more serverless."
"Compatibility with other products, for example, Microsoft and Google, is a bit difficult because each one of them wants to be isolated with their solutions."
"The OLAP slide and dice features need to be improved."
"In the solution, user-based access is quite hard. In general, certain permissions are difficult to manage."
"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."
"It is difficult to work with unstructured data and JSON documents."
"Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."
"They could improve on customer service."
"Fact-to-fact joins on multi-billion record tables perform poorly."
"The geospatial functionality could be designed better."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"When it is about to reach the maximum storage capacity, it becomes slow."
"It should provide a GUI interface for data management and tuning."
"The documentation of Vertica is an area with shortcomings where improvements are required."
 

Pricing and Cost Advice

"Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive."
"One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project."
"Amazon Redshift is an expensive solution. Larger organizations can afford this solution, but smaller businesses would struggle to afford it."
"It's pay per use. You can have multiple models."
"The cost will depend on how you set up your warehouse and what kind of data you store."
"For Amazon Redshift, we pay around INR 60,000 annually. The cost factor also depends on the number of existing customers."
"It's not very pricey compared to other tools. I would rate the price as 5 out of 10."
"The price of Amazon Redshift is reasonable because it depends on the usage that you use and for DWH for the long term."
"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."
"The pricing could improve, it is a little expensive."
"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."
"Vertica is an expensive tool."
"Vertica has a perpetual license, but they are currently trying to convert all those licenses to subscription-based licenses on a yearly basis."
"The price could be cheaper and it is best to negotiate the price."
"The solution is free and we pay for the storage."
"It's an expensive product"
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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
60%
Financial Services Firm
7%
Computer Software Company
6%
Manufacturing Company
4%
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 is your experience regarding pricing and costs for Amazon Redshift?
You can start small with a basic cluster to learn and practice with it. Selecting the most basic and economical cluster type can save you enough money to move forward with the solution or go with a...
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: November 2024.
816,406 professionals have used our research since 2012.