Apache SparkOpen-source multi-language engine for data engineering, data science and machine learning.
vs
SAP DatasphereSaaS data fabric for SAP and non-SAP data
Comparison · Data Warehouse · weekly run Nov 3
Apache Spark vs SAP Datasphere
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
SAP Datasphere is the stronger AI pick in Data Warehouse: it has a visibility score of 2.4 versus 0.9 for Apache Spark.
Choose Apache Spark if…
- Strong distributed processing capabilities for massive workloads
- Distributes query execution across a cluster of commodity machines
Choose SAP Datasphere if…
- You want the brand AI engines rank higher (2.4 vs 0.9)
- You need ISO/IEC 27001 or ISO 22301 or SOC 1 Type 2 or SOC 2 Type 2 or CSA STAR (CCM 3.0.1) or EU Cloud Code of Conduct coverage
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Apache Spark | SAP Datasphere |
|---|---|---|
| Visibility score | 0.9% | 2.4% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #26 | #19 |
| Share of voice | 0.5% | 0.9% |
| Mentions this run | 3 | 5 |
| 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 · SAP Datasphere 0pp over 0 weekly runs.
Engine by engine
SAP Datasphere leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
Apache SparkSAP Datasphere
Head to head in AI answers
0 engine answers name both brands
0Apache Spark ranked higher
0SAP Datasphere ranked higher
Features, pricing & fit
| Dimension | Apache Spark | SAP Datasphere |
|---|---|---|
| Deployment | Runs on single machines or on clusters: standalone, Hadoop YARN, Apache Mesos or Kubernetes. | Cloud service (SaaS), running within SAP Business Data Cloud |
| Compliance | — | ISO/IEC 27001, ISO 22301, SOC 1 Type 2, SOC 2 Type 2, CSA STAR (CCM 3.0.1), EU Cloud Code of Conduct |
| Founded | 2010 | — |
| Headquarters | Wilmington, Delaware | Walldorf, Germany |
| Employees | 5,000+ | 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
Apache Spark
- Strong distributed processing capabilities for massive workloads
- Distributes query execution across a cluster of commodity machines
SAP Datasphere
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Apache Spark vs SAP Datasphere”, https://slateindex.ai/compare/apache-spark-vs-sap-datasphere, data of Nov 3, 2026. Licence: CC BY 4.0.