Apache SparkOpen-source multi-language engine for data engineering, data science and machine learning.
vs
StarRocksSub-Second Analytics for End Users and Agents at Scale
Comparison · Data Warehouse · weekly run Nov 3
Apache Spark vs StarRocks
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Apache Spark is the stronger AI pick in Data Warehouse: it has a visibility score of 0.9 versus 0 for StarRocks.
Choose Apache Spark if…
- You want the brand AI engines rank higher (0.9 vs 0)
- 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 StarRocks if…
- You need SOC 2 Type 1 coverage
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Apache Spark | StarRocks |
|---|---|---|
| Visibility score | 0.9% | 0% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #26 | #37 |
| Share of voice | 0.5% | 0% |
| Mentions this run | 3 | 0 |
| Positive in AI answers | — | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Apache Spark 0pp · StarRocks 0pp over 0 weekly runs.
Engine by engine
Apache Spark leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
Apache SparkStarRocks
Head to head in AI answers
0 engine answers name both brands
0Apache Spark ranked higher
0StarRocks ranked higher
Features, pricing & fit
| Dimension | Apache Spark | StarRocks |
|---|---|---|
| Deployment | Runs on single machines or on clusters: standalone, Hadoop YARN, Apache Mesos or Kubernetes. | Fully managed BYOC cloud on AWS, Azure, and GCP, and self-managed in the customer's own Kubernetes cluster |
| Compliance | — | SOC 2 Type 1 |
| Support | — | Community Slack channel, Commercial support from technology partners such as Alibaba Cloud EMR, AWS, and ByteDance Volcano Engine |
| Founded | 2010 | — |
| Headquarters | Wilmington, Delaware | Menlo Park, California |
| Employees | 5,000+ | 51–200 |
| Funding | — | Series B |
| Best for | Data engineering, data science and machine learning work on single machines or clusters. | Teams that need real-time, high-concurrency analytics on fresh or lakehouse data, including workloads that serve AI agents |
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
StarRocks
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Apache Spark vs StarRocks”, https://slateindex.ai/compare/apache-spark-vs-starrocks, data of Nov 3, 2026. Licence: CC BY 4.0.