Compare Amazon Redshift vs. Vertica

Amazon Redshift is ranked 4th in Cloud Data Warehouse with 8 reviews while Vertica is ranked 3rd in Cloud Data Warehouse with 7 reviews. Amazon Redshift is rated 7.8, while Vertica is rated 9.2. The top reviewer of Amazon Redshift writes "Good performance and integrates well with our Tableau solution". On the other hand, the top reviewer of Vertica writes "Allows us to take volumes and process them at a very high speed". Amazon Redshift is most compared with Snowflake, Teradata and Oracle Exadata, whereas Vertica is most compared with Snowflake, Apache Hadoop and Amazon Redshift. See our Amazon Redshift vs. Vertica report.
Cancel
You must select at least 2 products to compare!
Amazon Redshift Logo
13,645 views|9,767 comparisons
Vertica Logo
16,008 views|8,979 comparisons
Most Helpful Review
Find out what your peers are saying about Amazon Redshift vs. Vertica and other solutions. Updated: March 2020.
407,242 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
The processing of data is very fast.In terms of valuable features, I like the columnar storage that Redshift provides. The storage is one of the key features that we're looking for. Also, the data updates and the latency between the data-refreshes.The product is relatively easy to use because there is no indexing and no partitions.The initial setup of this solution is straightforward.The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing.The most valuable features are that it's easy to set up and easy to connect the many tools that connect to it.It allows you write complex queries and perform row by row processes.It allows for the storage of huge amounts of data.

Read more »

The performance is very good and the aggregate records are fast.Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data.Allows us to take volumes and process them at a very high speed.Eighty percent of the ETL operations have improved since implementing this solution.It maximize cloud economics for mission-critical big data analytical initiatives.It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands.Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics.Any novice user can tune vertical queries with minimal training (or no training at all).

Read more »

Cons
It would be useful to have an option where all of the data can be queried at once and then have the result shown.Pricing is one of the things that it could improve. It should be more competitive.The product could be improved by making it more flexible.Running parallel queries results in poor performance and this needs to be improved.The speed of the solution and its portability needs improvement.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.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.Should be made available across zones, like other Multi-AZ solutions.

Read more »

When it is about to reach the maximum storage capacity, it becomes slow.Support is an area where it could get better.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.Fact-to-fact joins on multi-billion record tables perform poorly.It needs integration with multiple clouds.It should provide a GUI interface for data management and tuning.Monitoring tools need to be lightweight. They should not take up heavy resources of the main server.If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer.

Read more »

Pricing and Cost Advice
The best part about this solution is the cost.It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20.Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive.

Read more »

It is fast to purchase through the AWS Marketplace.The pricing and licensing depend on the size of your environment and the zone where you want to implement.Read the fine print carefully.

Read more »

report
Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
407,242 professionals have used our research since 2012.
Answers from the Community
Miriam Tover
author avatarRama Subrahmanyam Vedula
Real User

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

author avatarKarl Fonseca
User

* 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.

Ranking
4th
Views
13,645
Comparisons
9,767
Reviews
8
Average Words per Review
324
Avg. Rating
7.9
3rd
Views
16,008
Comparisons
8,979
Reviews
7
Average Words per Review
199
Avg. Rating
9.1
Top Comparisons
Compared 19% of the time.
Compared 19% of the time.
Compared 13% of the time.
Compared 17% of the time.
Compared 13% of the time.
Compared 11% of the time.
Also Known As
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
Learn
Amazon
Micro Focus
Overview

Amazon Redshift is a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. Customers can start small for just $0.25 per hour with no commitments or upfront costs and scale to a petabyte or more for $1,000 per terabyte per year, less than a tenth of most other data warehousing solutions.

Traditional data warehouses require significant time and resource to administer, especially for large datasets. In addition, the financial cost associated with building, maintaining, and growing self-managed, on-premise data warehouses is very high. Amazon Redshift not only significantly lowers the cost of a data warehouse, but also makes it easy to analyze large amounts of data very quickly.

Amazon Redshift gives you fast querying capabilities over structured data using familiar SQL-based clients and business intelligence (BI) tools using standard ODBC and JDBC connections. Queries are distributed and parallelized across multiple physical resources. You can easily scale an Amazon Redshift data warehouse up or down with a few clicks in the AWS Management Console or with a single API call. Amazon Redshift automatically patches and backs up your data warehouse, storing the backups for a user-defined retention period. Amazon Redshift uses replication and continuous backups to enhance availability and improve data durability and can automatically recover from component and node failures. In addition, Amazon Redshift supports Amazon Virtual Private Cloud (Amazon VPC), SSL, AES-256 encryption and Hardware Security Modules (HSMs) to protect your data in transit and at rest.

As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use. Amazon Redshift lets you pay as you go. You can even try Amazon Redshift for free.

Micro Focus Vertica is the most advanced SQL database analytics portfolio built from the very first line of code to address the most demanding Big Data analytics initiatives. Micro Focus Vertica delivers speed without compromise, scale without limits, and the broadest range of consumption models. Choose Vertica on premise, on demand, in the cloud, or on Hadoop. With support for all leading BI and visualization tools, open source technologies like Hadoop and R, and built-in analytical functions, Vertica helps you derive more value from your Enterprise Data Warehouse and data lakes and get to market faster with your analytics initiatives.

To learn more about Micro Focus Vertica Advanced Analytics, visit our website.

Offer
Learn more about Amazon Redshift
Learn more about Vertica
Sample Customers
Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Top Industries
REVIEWERS
Comms Service Provider33%
Logistics Company11%
Software R&D Company11%
Retailer11%
VISITORS READING REVIEWS
Software R&D Company41%
Media Company15%
Comms Service Provider8%
Insurance Company5%
REVIEWERS
Media Company21%
Software R&D Company21%
Marketing Services Firm17%
Comms Service Provider14%
VISITORS READING REVIEWS
Software R&D Company36%
Comms Service Provider20%
Media Company7%
Financial Services Firm5%
Find out what your peers are saying about Amazon Redshift vs. Vertica and other solutions. Updated: March 2020.
407,242 professionals have used our research since 2012.
We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.