We performed a comparison between Amazon Redshift and Vertica based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The solution has very competitive pricing."
"The most valuable feature is that the solution is fully embedded in the AWS stack."
"The initial setup is easy."
"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 most valuable features are that it's easy to set up and easy to connect the many tools that connect to it."
"I like the cost-benefit ratio, meaning that it is as easy to use as it is powerful and well-performing."
"Redshift is a major service of Amazon and is very scalable. It enables faster recalculations and data management, helping to retrieve data quickly."
"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 solution is quick, has good compression data, and is not expensive."
"Integrated R and geospatial functions are helping us improve efficiency and explore new revenue streams. "
"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."
"I like the projection feature, which increases query performance."
"The performance is very good and the aggregate records are fast."
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"Vertica has a few features that I like. From an architecture standpoint, they have separated compute and storage. So you have low-cost object storage for primary storage and the ability to have several sub-clusters working off the same ObjectStore. So it provides workload isolation."
"Initiate on one node, and the RPM propagates automatically to all other nodes. "
"Amazon Redshift does not have the capability to dynamically increase the VM file."
"The explain panel in the Redshift database could be better."
"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."
"If you require a highly scalable solution, I would not recommend Amazon Redshift."
"This solution lacks integration with non-AWS sources."
"The initial setup is a complex process, especially for someone who is not familiar with nodes and configuring terms like RPUs."
"Sometimes, it's difficult to get the metadata from Redshift."
"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."
"Very bad support, I would rate it two out of 10."
"There are a lot of limitations within this product and it makes things extremely hard for developers. It lacks Stored Procedure, packages, and triggers like other RDBMs."
"The geospatial functionality could be designed better."
"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."
"It should provide a GUI interface for data management and tuning."
"Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"They could improve the integration and some of the features in the cloud version."
Amazon Redshift is ranked 4th in Cloud Data Warehouse with 61 reviews while Vertica is ranked 7th in Cloud Data Warehouse with 83 reviews. Amazon Redshift is rated 7.8, while Vertica is rated 8.2. The top reviewer of Amazon Redshift writes "Provides one place where we can store data, and allows us to easily connect to other services with AWS". On the other hand, the top reviewer of Vertica writes " A user-friendly tool that needs to improve its documentation part". Amazon Redshift is most compared with Teradata, Snowflake, Microsoft Azure Synapse Analytics, AWS Lake Formation and Oracle Exadata, whereas Vertica is most compared with Snowflake, SQL Server, Teradata, BigQuery and Oracle Exadata. See our Amazon Redshift vs. Vertica report.
See our list of best Cloud Data Warehouse vendors and best Data Warehouse vendors.
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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
* 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.