Amazon Redshift Reviews

Name: Amazon Redshift
Brand: Amazon Web Services (AWS)
Rating: 3.9 (67 reviews)

Vendor: Amazon Web Services (AWS)

3.9 out of 5

67 reviews
86% willing to recommend

1,549 followers

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What is Amazon Redshift?

What is Amazon Redshift?

Get the Amazon Redshift Buyer's Guide and find out what your peers are saying about Amazon Redshift, Azure Data Factory, Snowflake and more!

Amazon Redshift is the #5 ranked solution in top Cloud Data Warehouse solutions. PeerSpot users give Amazon Redshift an average rating of 7.8 out of 10. Amazon Redshift is most commonly compared to Azure Data Factory: Amazon Redshift vs Azure Data Factory. Amazon Redshift is popular among the midsize enterprise segment, accounting for 67% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a educational organization, accounting for 64% of all views.

Helped 832,138 peers since 2012

Featured reviews

Ved Prakash Yadav

Senior Data Platform Manager at a manufacturing company with 10,001+ employees

In terms of improvement, I believe Amazon Redshift could work on reducing its costs, as they tend to increase significantly. Additionally, there are occasional issues with nodes going down, which can be problematic. We often encounter issues like someone dropping a column or changing the order of columns, which can cause synchronization problems when pushing data through our pipeline. It's a minor issue, but it can be annoying.

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Ansari Rehman

Cloud Data Architect (AWS-Snowflake-Teradata-Oracle) at Capgemini

During our last office project, Redshift couldn't perform well even for a data size of 6 TB. Thus, compared to Teradata and Snowflake, the solution needs to work faster. They should extend the plan by including better optimization and readability as we get while using Teradata. Also, they should provide zero-copy coding and sharing facilities.

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Sriram-Natesan

Tech Lead at Impetus

Improvement in the immediate response and the process of getting into a call could be helpful. We have had to wait for at least twenty-four hours to get a call and then wait for a couple more hours for a solution. Improved connectivity to different BI tools and already published connectors for major tools in AWS could enhance the service.

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Amazon Redshift mindshare

As of February 2025, the mindshare of Amazon Redshift in the Cloud Data Warehouse category stands at 6.8%, down from 9.7% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Cloud Data Warehouse

PeerAnalyst reports

Type	Title	Date
Category	Cloud Data Warehouse	Feb 1, 2025	Download
Product	Reviews, tips, and advice from real users	Feb 1, 2025	Download
Comparison	Amazon Redshift vs Snowflake	Feb 1, 2025	Download
Comparison	Amazon Redshift vs Microsoft Azure Synapse Analytics	Feb 1, 2025	Download
Comparison	Amazon Redshift vs Azure Data Factory	Feb 1, 2025	Download

Title	Rating	Mindshare	Recommending
Azure Data Factory	4.0	9.1%	92%	89 interviews Add to research
Snowflake	4.2	22.0%	97%	99 interviews Add to research

Valuable Features

"The seamless connection and good scalability on the cloud are valuable features of Amazon Redshift."
"Its simplicity in configuration, cost-effectiveness due to being in the cloud and close to our data sources, and the fact that it's a managed service that is scalable and reliable are highly valuable."
"The solution's speed, stability, and user concurrency have been very good."

Room for Improvement

"Improvement in the immediate response and the process of getting into a call could be helpful."
"There might be some limitations from a business intelligence perspective, but nothing we can't find a workaround for."
"The only minor issue I faced was that it took a bit longer than expected to change the cluster to have more space or storage."

ROI

Many highlight challenges in isolating ROI specifically from Amazon Redshift due to concurrent use with other tools. Generally, there is recognition of substantial benefits such as quick cost recoupment, notable cloud platform returns, and competitive advantages through BI capabilities. Some note rising costs and suggest optimization. While some find the investment worth it with large datasets, others see no improvement compared to previous systems like Netezza and lack clarity on ROI.

Pricing

Enterprise users note that Amazon Redshift's pricing is flexible but can be high, depending on configurations and usage. The solution offers a pay-as-you-use model, with options for hourly, monthly, or yearly pricing, allowing cost management. While effective for large-scale deployments, smaller businesses may find it expensive compared to rivals like BigQuery. Users suggest starting small and optimizing cluster use to mitigate costs. The pricing is competitive, albeit higher than some alternatives.

"It is an expensive product."
"The pricing is reasonable."
"The product is quite expensive."

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Amazon Redshift Buyer's Guide for additional reliable information.

Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Educational Organization

64%

Financial Services Firm

Computer Software Company

Manufacturing Company

Government

Healthcare Company

Retailer

Insurance Company

Transportation Company

University

Comms Service Provider

Energy/Utilities Company

Construction Company

Real Estate/Law Firm

Media Company

Logistics Company

Hospitality Company

Legal Firm

Wholesaler/Distributor

Outsourcing Company

Non Profit

Compare Amazon Redshift with alternative products

Learn more about 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