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."Amazon Redshift offers a relatively flexible structure...I rate the technical support a nine out of ten."
"We have found Machine Learning use cases are very nice."
"The initial setup is easy."
"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."
"Amazon Redshift is very fast. It has really good response times. It's very user-friendly."
"The stability of Amazon Redshift is good."
"This service can merge and integrate well with all databases."
"The main benefit is that our portal for end users is running in AWS, so we can easily connect it to other AWS services."
"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. "
"Initiate on one node, and the RPM propagates automatically to all other nodes. "
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"Any novice user can tune vertical queries with minimal training (or no training at all)."
"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."
"It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands."
"The product's initial setup phase is extremely simple."
"Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics."
"Migrating data from other data sources can be challenging when you are working with multibyte character sets."
"There are too many limitations with respect to concurrency."
"The technical support should be better in terms of their knowledge, and they should be more customer-friendly."
"The initial setup is a complex process, especially for someone who is not familiar with nodes and configuring terms like RPUs."
"Improvement could be made in the area of streaming data."
"It takes a lot of time to ingest and update the data."
"The solution could improve in handling more data formats and more native support for RDF."
"The product must become a bit more serverless."
"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."
"The documentation of Vertica is an area with shortcomings where improvements are required."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"I think they need an easy client so that you can write queries easily, but it's not necessarily a weak point. I think some users would need them."
"It needs integration with multiple clouds."
"In my opinion, Vertica's documentation could be improved. Currently, there is not enough documentation available to gain a comprehensive understanding of the platform."
"They could improve on customer service."
"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."
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.