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 most valuable feature of Redshift is its cluster."
"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 stability of Amazon Redshift is 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."
"It is quite simple to use and there are no issues with creating the tables."
"The most valuable features are that it's easy to set up and easy to connect the many tools that connect to it."
"Setup is easy. It's a fast solution with machine learning features, good integration, and a good API."
"The initial setup of this solution is straightforward."
"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."
"Eighty percent of the ETL operations have improved since implementing this solution."
"Its projections and encoding are excellent tools for tuning large volumes."
"The performance is very good and the aggregate records are fast."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"We are also opening new areas of business and potential new revenue streams using Vertica's analytic functions, most notably geospatial, where we are able to run billions of comparisons of lat/long point locations against polygon and point/radius locations in seconds. "
"I don't need any special hardware. I can use commodity hardware, which is nice to have in a commercial 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."
"They should provide a better way to work with interim data in a structured way than to store it in parquet files locally."
"The solution is unable to work fast."
"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."
"The solution has four maintenance windows so, when it comes to stability, I think it would be better to decrease their number."
"Amazon Redshift could improve the user interface support."
"One area where Amazon Redshift could improve is in adopting the compute-separate, data-separate architecture, which Delta, Snowflake are adopting, and a few others in the cloud data warehouse spectrum."
"It would be good to see Redshift as a serverless offering."
"Query compilation time needs a lot of improvement for cases where you are generating queries dynamically."
"We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well."
"Performance of management of metadata layer (database catalog) needs improvement. We still have to have smaller customers on PostgreSQL; Vertica cannot manage thousands of schemata."
"Limitations in group by projections is where I would like to see an improvement."
"Metadata for database files scale okay, but metadata related to tables/columns/sequences must be stored on all nodes."
"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."
"The integration of this solution with ODI could be improved."
"I would personally like to see extended developer tooling suited to Vertica – think published PowerDesigner SQL dialect support."
"When it is about to reach the maximum storage capacity, it becomes slow."
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 Snowflake, Teradata, AWS Lake Formation, 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.
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.
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.