Amazon Redshift Reviews

Name: Amazon Redshift
Brand: Amazon Web Services (AWS)
Rating: 4 (58 reviews)

Vendor: Amazon Web Services (AWS)

3.9 out of 5

58 reviews
87% willing to recommend

1,545 followers

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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 #4 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 54% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a educational organization, accounting for 50% of all views.

Helped 767,319 peers since 2012

Featured reviews

Beverly R. Jamison

IT Solutions Architect / Computer Scientist at Practical Semantics

Mar 8, 2023

I have used DBeaver to connect to SAP Amazon Redshift and my main use case is for SQL. I map data from a graph database into SQL Amazon Redshift has benefited the company by allowing us to scale. The solution could improve in handling more data formats and more native support for RDF. I have…

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Tamás Srancsik

Data Analyst Lead at Vectornator

Sep 7, 2023

It would be good to see Redshift as a serverless offering. The proposition may be unclear, but at the time, there were certain limitations with the pay-as-you-go offering. However, a serverless offering would be more flexible on-demand pricing, which would be good to see because Redshift is not expensive, but I always have to buy a new server if I need more computing than I have. Setting up a new server is an easy task, but it would be better if I could scale my Redshift cluster up or down as needed; still, there is a need for manual control. For example, my analyst team is working on a job that requires a lot of computing and is only needed for this month, week, or even today. The job should scale up and down automatically, but it is not yet fully developed.

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MiodragMilojevic

Senior Data Archirect at Telenor

Nov 27, 2019

From my perspective, the product could be improved by making it more flexible. There are now more flexible products on the market that allow for expandability and dynamic expansion as the market changes with regard to data warehouses. Although the product is simple to use there can be problems. If you declare some unique key in a column and then store it, the database is going to believe this is what you have and results will be distorted. It's fine if the query is simple but if it's complex or you have too many queries per hour, it can create a bottleneck for Redshift and then you can't return and recover. It requires some fine-tuning. For additional features, I would like to see support for partitions, it doesn't exist yet as a feature. It's quite an important issue when you're dealing with large databases. Also, I believe the product needs improvement in parallel threading to support more database users without jeopardizing performance.

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Amazon Redshift market share

As of March 2024, the market share of Amazon Redshift in the Cloud Data Warehouse category stands at 7.7%, marking a decrease of 34.3% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Cloud Data Warehouse

Key learnings from peers

Last updated Apr 15, 2024

Valuable Features

"The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good."
"Redshift Spectrum is the most valuable feature."
"The product offers good support for the data lake."

Room for Improvement

"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."
"The product must become a bit more serverless."
"The initial deployment was complex."

Pricing

"The product is quite expensive."
"The cost must be improved."
"The solution has very competitive pricing."

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

50%

Financial Services Firm

Computer Software Company

Manufacturing Company

Government

Healthcare Company

Retailer

Comms Service Provider

Insurance Company

Energy/Utilities Company

University

Construction Company

Real Estate/Law Firm

Wholesaler/Distributor

Transportation Company

Media Company

Legal Firm

Logistics Company

Non Profit

Pharma/Biotech Company

Hospitality Company

Outsourcing Company

Performing Arts

Recreational Facilities/Services Company

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