Amazon Redshift vs IBM Db2 Warehouse comparison

Amazon Web Services (AWS) and IBM are both solutions in the Data Warehouse category. Additionally, 85% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 77% of IBM users who would recommend it.

Amazon Redshift

Read 66 Amazon Redshift reviews

6,278 Views
4,381 Comparison Views

85% willing to recommend

IBM Db2 Warehouse

Read 10 IBM Db2 Warehouse reviews

1,129 Views
452 Comparison Views

77% willing to recommend

Amazon Redshift

IBM Db2 Warehouse

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Executive Summary

We performed a comparison between Amazon Redshift and IBM Db2 Warehouse based on real PeerSpot user reviews.

Find out in this report how the two 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. IBM Db2 Warehouse Report (Updated: November 2024).

Buyer's Guide

Amazon Redshift vs. IBM Db2 Warehouse

November 2024

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Categories and Ranking

Amazon Redshift

Average Rating

7.8

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (4th)

IBM Db2 Warehouse

Average Rating

7.8

Reviews Sentiment

5.3

Number of Reviews

Ranking in other categories

Data Warehouse (11th)

Featured Reviews

Ved Prakash Yadav

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

Works as a data warehouse system and collects data from different sources

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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Josef Kraus

Owner at S.K. Consulting Services GmbH

Useful for ETL process and has good documentation

The tool's most beneficial feature for our data management tasks has been the ETL process. Additionally, we utilized Windows and Linux. IBM Db2 Warehouse's scalability has significantly impacted our data storage capabilities. We needed to order new disks for storage every week within this hosting environment. Additionally, we implemented protection measures for production use. The tools are readily available, and if you're willing to invest in them, you can access a good data warehouse without any issues.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It's scalable because it's on the cloud."

"The processing of data is very fast."

"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."

"The main benefit is that our portal for end users is running in AWS, so we can easily connect it to other AWS services."

"Easy to build out our snowflake design and load data."

"The solution is scalable. It handles different loads very well."

"Redshift has an advantage when it comes to administration, making it easier to manage and collaborate."

"If the analyst knows SQL, which is comfortable and easy to use to go between all of these tool stacks, I think it's reliable. It's a secure and reliable data warehouse."

More Amazon Redshift pros

"Provides good security and reliability."

"It can scale effectively as long as resources are available."

"I think it scales really well and as long as you take enough time to learn a little bit about it, it works really well."

"Some of the best features are stored procedures, parallelism, and different indexing strategies."

"It can be mounted on the cloud, which is a huge plus. If the client, for example, starts small with on-premise deployment and then it rapidly needs to grow, we can transfer this to the cloud easily."

"The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data."

"The analytics engine is not bad at forecasting predictions."

"The solution is stable."

Cons

"There is some missing functionality and sometimes it's so difficult to work in. We need to convert these functionalities using VACUUM inside Amazon Redshift and then it causes some complexity."

"The product must become a bit more serverless."

"What would make Amazon Redshift better is improvising on the pricing structure. For example, Acronis provides backups in cybersecurity, yet the pricing is a bit lesser than Amazon Redshift."

"The solution has four maintenance windows so, when it comes to stability, I think it would be better to decrease their number."

"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."

"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."

"There are too many limitations with respect to concurrency."

"Query compilation time needs a lot of improvement for cases where you are generating queries dynamically."

More Amazon Redshift cons

"The areas of the solution that is needing the most improvement are separating compute from storage, elasticity, which means scaling up and then retracting."

"There were some initial challenges with IBM Db2 Warehouse about eight months ago when I worked in this environment. When I coordinated with IBM support, they mentioned that the memory was insufficient for our needs. Our business environment required significantly more memory than the previous cluster could provide. Consequently, we have worked closely with on-site IBM technical personnel to address this issue."

"IBM Db2 Warehouse needs to improve its interface."

"The biggest problems we have is when the backup solution is failing or slow and we run out of log space, which has happened probably a couple of times in the last four years."

"There should be more material available for training and training should be free."

"Lacks sufficient documentation and particularly in Spanish."

"The biggest challenge anyone could have with Db2 Warehouse is their references or online resources and documentation. They are very, very, very limited on the web."

"In terms of improvement, IBM Db2 Warehouse should be more scalable."

More IBM Db2 Warehouse cons

Pricing and Cost Advice

"Pricing for Amazon Redshift is reasonable, though it could be somewhat higher than other solutions, such as Azure. Still, when you base your comparison on the services offered and the pricing, it's the most reasonable versus its competitors, such as RDS."

"If you want a fixed price, an to not worry about every query, but you need to manage your nodes personally, use Redshift."

"This solution implements the pay-as-you-use model, so no license. Pricing could be cheaper."

"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."

"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."

"On a scale of one to ten, where one is a low price and ten is a high price, I rate the pricing a seven."

"The product is cheap considering what it provides; I rate it five out of five for affordability."

"The product is quite expensive."

More Amazon Redshift pricing and cost advice

"In a traditional on-prem database, in a data warehouse, the solution is probably on the expensive side."

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816,406 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Educational Organization

60%

Financial Services Firm

Computer Software Company

Manufacturing Company

Educational Organization

59%

Financial Services Firm

Computer Software Company

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

How does Amazon Redshift compare with Microsoft Azure Synapse Analytics?

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 dat...

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What do you like most about Amazon Redshift?

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.

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What is your experience regarding pricing and costs for Amazon Redshift?

You can start small with a basic cluster to learn and practice with it. Selecting the most basic and economical cluster type can save you enough money to move forward with the solution or go with a...

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What do you like most about IBM Db2 Warehouse?

The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data.

See all answers

What is your experience regarding pricing and costs for IBM Db2 Warehouse?

Db2 Warehouse or IBM products are pretty expensive. There are cheaper tools on the market. However, if the client is satisfied with paying for the Db2 Warehouse license, especially for cloud-based ...

See all answers

What needs improvement with IBM Db2 Warehouse?

Responding to support tickets takes a lot of time. It can range from two to four days, even for critical issues. The technical support quality is good, but the response time needs improvement.

See all answers

Comparisons

Teradata vs Amazon Redshift

Compared 15% of the time

Oracle Exadata vs Amazon Redshift

Compared 11% of the time

Snowflake vs Amazon Redshift

Compared 11% of the time

Vertica vs Amazon Redshift

Compared 10% of the time

Microsoft Azure Synapse Analytics vs Amazon Redshift

Compared 9% of the time

More Amazon Redshift Competitors

Oracle Exadata vs IBM Db2 Warehouse

Compared 29% of the time

Snowflake vs IBM Db2 Warehouse

Compared 28% of the time

Teradata vs IBM Db2 Warehouse

Compared 14% of the time

IBM Db2 Warehouse on Cloud vs IBM Db2 Warehouse

Compared 9% of the time

BigQuery vs IBM Db2 Warehouse

Compared 9% of the time

More IBM Db2 Warehouse Competitors

Product Reports

Buyer's Guide

Amazon Redshift

November 2024

Download Amazon Redshift product report

Buyer's Guide

IBM Db2 Warehouse

November 2024

Download IBM Db2 Warehouse product report

Also Known As

No data available

InfoSphere Warehouse, IBM InfoSphere Warehouse

Learn More

Amazon Web Services (AWS)

Video not available

IBM

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

InfoSphere Warehouse is a suite of products that combines the strength of DB2 with a data warehousing infrastructure from IBM. You can use InfoSphere Warehouse to build a complete data warehousing solution that includes a highly scalable relational database, data access capabilities, and front-end analysis tools.

Sample Customers

Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449

Alameda County Social Services Agency, Sui Southern Gas Company Limited

Buyer's Guide

Amazon Redshift vs. IBM Db2 Warehouse

November 2024

Free Report: Amazon Redshift vs. IBM Db2 Warehouse

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