Amazon Redshift vs Apache Spark
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Amazon Redshift is the stronger AI pick in Data Warehouse: it has a visibility score of 40.5 versus 0.9 for Apache Spark, and ranks ahead in 100% of the answers that name both.
Choose Amazon Redshift if…
- You want the brand AI engines rank higher (40.5 vs 0.9)
- You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 9001 or C5 or PCI DSS or SOC 1 or SOC 2 coverage
- Petabyte-scale, fully managed data warehouse service
- Deep integration with AWS services like S3, IAM, and existing AWS operations
Choose Apache Spark if…
- Strong distributed processing capabilities for massive workloads
- Distributes query execution across a cluster of commodity machines
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Amazon Redshift | Apache Spark |
|---|---|---|
| Visibility score | 40.5% | 0.9% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #3 | #26 |
| Share of voice | 9.8% | 0.5% |
| Mentions this run | 55 | 3 |
| Positive in AI answers | 19% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Amazon Redshift 0pp · Apache Spark 0pp over 0 weekly runs.
Engine by engine
Amazon Redshift leads on 3 of 3 engines
Head to head in AI answers
1 engine answers name both brands
| Prompt | Engine | Amazon Redshift | Apache Spark |
|---|---|---|---|
| Compare the leading data warehouse platforms | ChatGPT | #4 | #8 |
Features, pricing & fit
| Dimension | Amazon Redshift | Apache Spark |
|---|---|---|
| Deployment | Cloud, fully managed on AWS, as Provisioned clusters or Serverless | Runs on single machines or on clusters: standalone, Hadoop YARN, Apache Mesos or Kubernetes. |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 9001, C5, PCI DSS, SOC 1, SOC 2 | — |
| Founded | 2013 | 2010 |
| Headquarters | — | Wilmington, Delaware |
| Employees | — | 5,000+ |
| Best for | — | Data engineering, data science and machine learning work on single machines or clusters. |
Pros and cons
Themes from the AI answers that mention each brand
Amazon Redshift
- Petabyte-scale, fully managed data warehouse service
- Deep integration with AWS services like S3, IAM, and existing AWS operations
- Reserved pricing can cut compute costs substantially for committed use
- Free trial with Redshift Serverless or node-hour allowance
- Widely shortlisted as a leading cloud data warehouse
- Requires capacity and cost management, and bills can be hard to predict
Apache Spark
- Strong distributed processing capabilities for massive workloads
- Distributes query execution across a cluster of commodity machines
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Amazon Redshift vs Apache Spark”, https://slateindex.ai/compare/amazon-redshift-vs-apache-spark, data of Nov 3, 2026. Licence: CC BY 4.0.