Apache SparkOpen-source multi-language engine for data engineering, data science and machine learning.
vs
ClouderaThe hybrid data and AI platform that brings AI to data anywhere
Comparison · Data Warehouse · weekly run Nov 3
Apache Spark vs Cloudera
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Cloudera is the stronger AI pick in Data Warehouse: it has a visibility score of 1 versus 0.9 for Apache Spark.
Choose Apache Spark if…
- You prefer a larger, established vendor (5,000+ employees)
- Strong distributed processing capabilities for massive workloads
- Distributes query execution across a cluster of commodity machines
Choose Cloudera if…
- You want the brand AI engines rank higher (1 vs 0.9)
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Apache Spark | Cloudera |
|---|---|---|
| Visibility score | 0.9% | 1% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #26 | #25 |
| Share of voice | 0.5% | 0.5% |
| Mentions this run | 3 | 3 |
| Positive in AI answers | — | 0% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Apache Spark 0pp · Cloudera 0pp over 0 weekly runs.
Engine by engine
Cloudera leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
Apache SparkCloudera
Head to head in AI answers
0 engine answers name both brands
0Apache Spark ranked higher
0Cloudera ranked higher
Features, pricing & fit
| Dimension | Apache Spark | Cloudera |
|---|---|---|
| Deployment | Runs on single machines or on clusters: standalone, Hadoop YARN, Apache Mesos or Kubernetes. | Public clouds, sovereign clouds, private data centers, air-gapped networks and the edge |
| Support | — | Support Portal, Cloudera Professional Services |
| Founded | 2010 | — |
| Headquarters | Wilmington, Delaware | Santa Clara, California, US |
| Employees | 5,000+ | 1,001–5,000 |
| Funding | — | Take-private by KKR · $1041M raised |
| Best for | Data engineering, data science and machine learning work on single machines or clusters. | Large enterprises and public sector organizations that need AI and analytics on data spread across clouds, data centers and the edge. |
Pros and cons
Themes from the AI answers that mention each brand
Apache Spark
- Strong distributed processing capabilities for massive workloads
- Distributes query execution across a cluster of commodity machines
Cloudera
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Apache Spark vs Cloudera”, https://slateindex.ai/compare/apache-spark-vs-cloudera, data of Nov 3, 2026. Licence: CC BY 4.0.