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."Changing from local servers to the cloud is very easy. It's so nice not to have to worry about physical servers."
"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."
"Redshift Spectrum is the most valuable feature."
"Redshift has an advantage when it comes to administration, making it easier to manage and collaborate."
"This service can merge and integrate well with all databases."
"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."
"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."
"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."
"Eighty percent of the ETL operations have improved since implementing this solution."
"The hardware usage and speed has been the most valuable feature of this solution. It is very fast and has saved us a lot of money."
"Speed and resiliency are probably the best parts of this product."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"Allows us to take volumes and process them at a very high speed."
"The performance is very good and the aggregate records are fast."
"Its projections and encoding are excellent tools for tuning large volumes."
"The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."
"Migrating data from other data sources can be challenging when you are working with multibyte character sets."
"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."
"The product could be improved by making it more flexible."
"It would be nice if we could turn off an instance. However, it would retain the instance in history, thus allowing us to restart without beginning from scratch."
"It would be good to see Redshift as a serverless offering."
"If you require a highly scalable solution, I would not recommend Amazon Redshift."
"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."
"Planting is the primary key enforcement that should be improved."
"Vertica offers a platform-as-a-service version, but their software-as-a-service solution is only available on AWS. They need to get a SaaS version on Azure and GCP as fast as possible."
"They could improve the integration and some of the features in the cloud version."
"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 on customer service."
"The documentation of Vertica is an area with shortcomings where improvements are required."
"When it is about to reach the maximum storage capacity, it becomes slow."
"The integration of this solution with ODI could be improved."
"One feature, which has really benefited us, is the scalability offered by Vertica as it has enabled Pythian's clients to manage data with agility."
Amazon Redshift is ranked 4th in Cloud Data Warehouse with 58 reviews while Vertica is ranked 6th 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 AWS Lake Formation, Snowflake, Teradata, Microsoft Azure Synapse Analytics and Oracle Exadata, whereas Vertica is most compared with Snowflake, SQL Server, Teradata, Oracle Exadata and BigQuery. 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.