IBM InfoSphere Information Server vs. Amazon Redshift
A side-by-side comparison based on G2 review data.
| Metric | IBM InfoSphere Information Server | Amazon Redshift |
|---|---|---|
| Overall rating | 4.1 | 4.3 |
| Review count | 23 | 404 |
| Ease of use | 7.6 | 8.9 |
| Ease of setup | 7.6 | 8.8 |
| Quality of support | 7.5 | 8.7 |
| Meets requirements | 8.7 | 8.9 |
| NPS | 36.363636 | 53.369272 |
| Small Business | 0.0% | 20.6% |
| Mid-Market | 13.0% | 39.3% |
| Enterprise | 87.0% | 40.0% |
| Total page views | 81 | 511 |
| Total LLM citations | 51 | 5,954 |
IBM InfoSphere Information Server
Better understand your data and cleanse, monitor, transform and deliver it. Build confidence in your data Delivers clean, consistent and timely information for your data warehouses or big data projects and applications. Create a flexible governance strategy Helps you adapt a data governance strategy to suit your organizational objectives, while shaping business information in unique ways to meet your needs.
Amazon Redshift
Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
- Integrations
- Ease of Use
- Fast Querying
- Scalability
- Easy Integrations
- Performance