Amazon Redshift vs Vertica comparison

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Executive Summary

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.
To learn more, read our detailed Amazon Redshift vs. Vertica Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The processing of data is very fast.""We have found Machine Learning use cases are very nice.""It allows for the storage of huge amounts of data.""The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing.""The main benefit is that our portal for end users is running in AWS, so we can easily connect it to other AWS services.""This service can merge and integrate well with all databases.""I have primarily used the Redshift Spectrum feature and found it most valuable.""The most valuable features of Amazon Redshift are that its fast and efficient. We have lots of TBs of data and it's very fast."

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"The most valuable feature is Vertica's performance and the ease of using the database.""I don't need any special hardware. I can use commodity hardware, which is nice to have in a commercial solution.""Vertica enabled us to close large deals. Customers with large data sets had to be migrated from PostgreSQL to Vertica due to performance.""Vertica gives knowledgeable users and DBAs excellent tools for tuning.""For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments.""Partition and join back to node are easy and simple for DBAs.""I appreciate the flexibility offered by Vertica's projections. It allows for modifying the primary projection without altering the tables, which helps to optimize queries without the need to modify the underlying data.""I have found the solution to be scalable."

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Cons
"We recently moved from the DC2 cluster to the RA3 cluster, which is a different node type and we are finding some issues with the RA3 cluster regarding connection and processing. There is room for improvement in this area. We are in talks with AWS regarding the connection issues.""There are too many limitations with respect to concurrency.""For people who struggle with IAM or role-based management, the setup isn't easy.""It lacks a few features which can be very useful, such as stored procedures""They should provide a better way to work with interim data in a structured way than to store it in parquet files locally.""Compatibility with other products, for example, Microsoft and Google, is a bit difficult because each one of them wants to be isolated with their solutions.""It takes a lot of time to ingest and update the data.""Infinite storage is available in Snowflake and is not available in Redshift."

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"When it is about to reach the maximum storage capacity, it becomes slow.""Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint.""The integration of this solution with ODI could be improved.""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.""The integration with AI has room for improvement.""The biggest problem is the cost of cloud deployment.""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."

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Pricing and Cost Advice
  • "Redshift is very cost effective for a cloud based solution if you need to scale it a lot. For smaller data sizes, I would think about using other products."
  • "If you want a fixed price, an to not worry about every query, but you need to manage your nodes personally, use Redshift."
  • "BI is sold to our customer base as a part of the initial sales bundle. A customer may elect to opt for a white labeled site for an up-charge."
  • "One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project."
  • "Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive."
  • "It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20."
  • "The best part about this solution is the cost."
  • "The part that I like best is that you only pay for what you are using."
  • More Amazon Redshift Pricing and Cost Advice →

  • "Work with a vendor, if possible, and take advantage of more aggressive discounts at mid-fiscal year (April) and fiscal year-end (October).​"
  • "It's free up to three nodes and 1TB, and then get in contact with their sales guys."
  • "Start with license per 1TB. Starting from hundreds of TB there is unlimited licensing to be considered. Move historical data to HDFS/S3 which are significantly cheaper or even free."
  • "The first TB is free and you can use all the Vertica features. After 1TB you have to pay for licensing. The product is worth it, but be aware of this condition, and plan. The compression ratio is explained in the documentation."
  • "I think it's starting to get a little expensive. Open source products are starting to get more robust, so I think that's something that they need to start looking at in terms of licensing."
  • "Read the fine print carefully."
  • "It is fast to purchase through the AWS Marketplace."
  • "The pricing and licensing depend on the size of your environment and the zone where you want to implement."
  • More Vertica Pricing and Cost Advice →

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    Answers from the Community
    Miriam Tover
    Rama Subrahmanyam Vedula - PeerSpot reviewerRama Subrahmanyam Vedula
    Real User

    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

    Karl Fonseca - PeerSpot reviewerKarl Fonseca
    User

    * 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.

    Questions from the Community
    Top Answer:Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different… more »
    Top Answer:Redshift Spectrum is the most valuable feature.
    Top Answer:The product's initial setup phase is extremely simple.
    Top Answer:In my opinion, nothing needs improvement in the solution as it is a great product. The documentation of Vertica is an area with shortcomings where improvements are required. Vertica needs to increase… more »
    Ranking
    4th
    Views
    8,821
    Comparisons
    6,585
    Reviews
    24
    Average Words per Review
    474
    Rating
    7.8
    6th
    Views
    3,756
    Comparisons
    2,972
    Reviews
    10
    Average Words per Review
    353
    Rating
    8.3
    Comparisons
    Snowflake logo
    Compared 18% of the time.
    SQL Server logo
    Compared 15% of the time.
    Teradata logo
    Compared 10% of the time.
    Oracle Exadata logo
    Compared 6% of the time.
    BigQuery logo
    Compared 5% of the time.
    Also Known As
    Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
    Learn More
    Overview

    What is Amazon Redshift?

    Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.

    Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.

    The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.

    Amazon Redshift Functionalities

    Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:

    • Cluster administration: The Amazon Redshift cluster is a group of nodes that contains a leader node and one (or more) compute node(s). The compute nodes needed are dependent on the data size, amount of queries needed, and the query execution functionality desired.
    • Cluster snapshots: Snapshots are backups of a cluster from an exact point in time. Amazon Redshift offers two types of snapshots: manual and automated. Amazon will store these snapshots internally in the Amazon Simple Storage Service (Amazon S3) utilizing an SSL connection. Whenever a Snapshot restore is needed, Amazon Redshift will create a new cluster and will import data from the snapshot as directed. 
    • Cluster access: Amazon Redshift provides several intuitive features to help define connectivity rules, encrypt data and connections, and control the overall access of your cluster.
    • IAM credentials and AWS accounts: The Amazon Redshift cluster is only accessible by the AWS account that created the cluster. This automatically secures the cluster and keeps it safe. Inside the AWS account, users access the AWS Identity and IAM protocol to create additional user accounts and manage permissions, granting specified users the desired access needed to control cluster performance.
    • Encryption: Users have the option to choose to encrypt the clusters for additional added security once the cluster is provisioned. When encryption is enabled, Amazon Redshift will store all the data in user-created tables in a secure encrypted format. To manage Amazon Redshift encryption keys, users will access AWS Key Management Service (AWS KMS).

    Reviews from Real Users

    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.” - Kundan A., Senior Consultant at Dynamic Elements AS

    “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. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini

    Vertica is a deploy-anywhere SQL database created for elasticity, speed, and advanced analytics. Vertica enables today’s busy teams to modernize their data warehouses, democratize data and analytics to enable increased access, and deploy analytics in a hybrid cloud environment. Additionally, Vertica merges how companies power their analytics by providing a scalable, open, and elastic database with numerous intuitive features.

    In today’s marketplace, organizations are experiencing continued robust growth of data volumes, and citizen data scientists’ broader use of analytics is causing many companies to re-visit and re-examine their systems in order to match the demands of an aggressive marketplace. Analytics are continually swiftly evolving. New data from social media, blogs, IoT sources, data streams, gas and electrical grids, and mobile networks is being constantly gathered in extensive data sets. This presents organizations with a new opportunity to become more data driven, and they must be able to manage the new data growth and identify the trends and sequences that can lead to both improved business opportunities and continued repeat business from their clients.

    Vertica Benefits:

    Vertica has many valuable key benefits. Some of its most useful benefits include:

    • Efficiency:  Vertica provides robust compression and intuitive impressions. This results in users requiring significantly less storage and hardware than other comparable data analytics solutions. The progressive Vertica architecture results in queries that are 10-50 times faster than other platforms while providing more storage data per server.
    • Integration: Each new iteration of Vertica is tested and certified with the latest ETL and visualization tools. It actively supports Java Database Connectivity (JDBC), Open Database Connectivity (ODBC), and popular SQL providers. All these solutions and most leading BI and visualization tools interact seamlessly, making Vertica overall a very cost-effective solution and solid business investment.
    • Cloud flexibility: With Vertica, users do not have to get locked into a single cloud vendor. Users are able to take complete advantage of the current infrastructure that is already in place. Vertica seamlessly integrates with popular public clouds, including Google Cloud Platform (GCP), Azure, AWS, Alibaba, VMware clouds, and more. It also provides for easy portability across on-premise and multi-cloud environments and data lakes. Vertica designs a robust flexible platform for running a company’s analytical and computing workloads, which allows applications to run simultaneously on numerous environments in a hybrid cloud infrastructure. Vertica is able to seamlessly use public clouds and private data centers, and it grants the flexibility to switch in an instant.
    • Security: Vertica offers dynamic end-to-end security with support for partner solutions and industry-standard protocols such as Apache Sentry, AWS IAM, Kerberos, LDAP, and more. Vertica utilizes an intuitive layered security model that provides multiple security authentication authorization mechanisms. Vertica will also maintain an audit trail, natively exported to other security domains for analysis and persistence. 

    Reviews from Real Users

    “I am using Vertica for aggregations and dashboards. The most valuable feature of Vertica is the ability to receive large aggregations at a very quick pace. The use case of subclusters is very good.” - Bijal S., Group Chief Technology Officer at Netcore Solutions

    “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.” - Munkhsaikhan B.,  Project Lead - Digital Transformation Unit at Bodi Electronics LLC

    Sample Customers
    Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
    Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
    Top Industries
    REVIEWERS
    Computer Software Company33%
    Comms Service Provider15%
    Retailer11%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Educational Organization49%
    Financial Services Firm9%
    Computer Software Company7%
    Manufacturing Company4%
    REVIEWERS
    Computer Software Company20%
    Media Company17%
    Marketing Services Firm14%
    Comms Service Provider11%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company15%
    Manufacturing Company8%
    Comms Service Provider6%
    Company Size
    REVIEWERS
    Small Business41%
    Midsize Enterprise25%
    Large Enterprise34%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise53%
    Large Enterprise37%
    REVIEWERS
    Small Business31%
    Midsize Enterprise27%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise14%
    Large Enterprise66%
    Buyer's Guide
    Amazon Redshift vs. Vertica
    March 2024
    Find out what your peers are saying about Amazon Redshift vs. Vertica and other solutions. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Amazon Redshift is ranked 4th in Cloud Data Warehouse with 57 reviews while Vertica is ranked 6th in Cloud Data Warehouse with 82 reviews. Amazon Redshift is rated 7.8, while Vertica is rated 8.4. 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, Microsoft Azure Synapse Analytics, Teradata 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.