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 initial setup is easy."
"The main benefit is that our portal for end users is running in AWS, so we can easily connect it to other AWS services."
"Amazon Redshift offers a relatively flexible structure...I rate the technical support a nine out of ten."
"I found the Amazon Redshift computing services easy. I found the computing instances the most incredible in the solution."
"For the on-premises version of Amazon Redshift, we need to start from scratch. However, with the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features."
"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 processing of data is very fast."
"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."
"I like the projection feature, which increases query performance."
"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."
"I don't need any special hardware. I can use commodity hardware, which is nice to have in a commercial solution."
"Vertica is a columnar database, this support our developments in analytics, advanced analytics, and ETL process with large sets of data."
"Vertica is a columnar database where the query performance is extremely fast and it can be used for real-time integrations for API and other applications. The solution requires zero maintenance which is helpful."
"The performance is very good and the aggregate records are fast."
"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."
"Its projections and encoding are excellent tools for tuning large volumes."
"If you require a highly scalable solution, I would not recommend Amazon Redshift."
"The product could be improved by making it more flexible."
"For people who struggle with IAM or role-based management, the setup isn't easy."
"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."
"The solution has four maintenance windows so, when it comes to stability, I think it would be better to decrease their number."
"It takes a lot of time to ingest and update the data."
"The initial setup is a complex process, especially for someone who is not familiar with nodes and configuring terms like RPUs."
"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."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"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."
"Metadata for database files scale okay, but metadata related to tables/columns/sequences must be stored on all nodes."
"It should provide a GUI interface for data management and tuning."
"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."
"When it is about to reach the maximum storage capacity, it becomes slow."
"I have found that coding support could be simplified."
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.