Amazon Redshift and IBM Db2 Warehouse on Cloud compete in cloud-based data warehousing. Amazon Redshift may appear more budget-friendly and integrates easily with AWS, but IBM Db2's robust analytics make it appealing for comprehensive solutions seekers.
Features: Amazon Redshift offers seamless integration with AWS services, high scalability, and fast query performance using columnar storage and MPP architecture. IBM Db2 Warehouse on Cloud provides sophisticated analytics capabilities, strong security features, and supports integrated tools like RStudio for data management.
Room for Improvement: Amazon Redshift could benefit from better handling of real-time data processing, improved documentation outside of the AWS ecosystem, and advanced ML features. IBM Db2 Warehouse on Cloud needs to address its higher initial setup costs, provide more competitive scalability features, and enhance its third-party integrations.
Ease of Deployment and Customer Service: Amazon Redshift offers easy deployment in tandem with AWS services and has extensive community support. IBM Db2 Warehouse on Cloud makes deployment straightforward with personalized customer service, appealing to users who prefer tailored support over community resources.
Pricing and ROI: Amazon Redshift's pricing models are flexible with pay-as-you-go options, providing cost efficiency for varied business sizes. IBM Db2 Warehouse on Cloud, despite higher initial costs, delivers substantial ROI with its advanced analytics and performance features, making it worthwhile for detailed processing needs.
| Product | Market Share (%) |
|---|---|
| Amazon Redshift | 7.4% |
| IBM Db2 Warehouse on Cloud | 1.6% |
| Other | 91.0% |
| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 21 |
| Large Enterprise | 28 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Large Enterprise | 3 |
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:
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
IBM dashDB family offers private and public cloud database solutions for transactional and analytic workloads, with IBM fully managed or client managed options with a Common SQL engine across all deployment options.
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.
