Apache SparkOpen-source multi-language engine for data engineering, data science and machine learning.
vs
StarburstStop moving data. Start using it.
Comparison · Data Warehouse · weekly run Nov 3
Apache Spark vs Starburst
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 Starburst.
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 Starburst if…
- You need a self-hosted or on-premises option
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Apache Spark | Starburst |
|---|---|---|
| Visibility score | 0.9% | 0% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #26 | #38 |
| 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 · Starburst 0pp over 0 weekly runs.
Engine by engine
Apache Spark leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
Apache SparkStarburst
Head to head in AI answers
0 engine answers name both brands
0Apache Spark ranked higher
0Starburst ranked higher
Features, pricing & fit
| Dimension | Apache Spark | Starburst |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Free; paid from $0.5 / mo |
| Free plan | — | Yes |
| Deployment | Runs on single machines or on clusters: standalone, Hadoop YARN, Apache Mesos or Kubernetes. | Managed cloud (Starburst Galaxy) and self-managed (Starburst Enterprise), across cloud, hybrid and on-premises |
| Integrations | — | 50+ |
| Support | — | 24/7 support, Elite support and ticketing on the Mission-Critical plan |
| Founded | 2010 | 2017 |
| Headquarters | Wilmington, Delaware | Boston, Massachusetts, US |
| Employees | 5,000+ | 501–1,000 |
| Funding | — | Series C · $414M raised |
| Best for | Data engineering, data science and machine learning work on single machines or clusters. | Large enterprises and regulated organizations that need governed SQL access to data spread across clouds and on-premises systems without migrating it. |
Plans side by side
Apache Spark
Pricing not available.
Starburst
Free$0forever
Pro$0.5per credit
Enterprise$0.75per credit
Mission-Critical$1per credit
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
Starburst
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Apache Spark vs Starburst”, https://slateindex.ai/compare/apache-spark-vs-starburst, data of Nov 3, 2026. Licence: CC BY 4.0.