Apache SparkOpen-source multi-language engine for data engineering, data science and machine learning.
vs
MySQLThe world's most popular open source database
Comparison · Data Warehouse · weekly run Nov 3
Apache Spark vs MySQL
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
MySQL is the stronger AI pick in Data Warehouse: it has a visibility score of 4.2 versus 0.9 for Apache Spark, and ranks ahead in 100% of the answers that name both.
Choose Apache Spark if…
- Strong distributed processing capabilities for massive workloads
- Distributes query execution across a cluster of commodity machines
Choose MySQL if…
- You want the brand AI engines rank higher (4.2 vs 0.9)
- well suited to transactional workloads
- common primary production database with read replicas
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Apache Spark | MySQL |
|---|---|---|
| Visibility score | 0.9% | 4.2% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #26 | #18 |
| Share of voice | 0.5% | 1.1% |
| Mentions this run | 3 | 6 |
| 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 · MySQL 0pp over 0 weekly runs.
Engine by engine
MySQL leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
Apache SparkMySQL
Head to head in AI answers
2 engine answers name both brands
0Apache Spark ranked higher
2MySQL ranked higher
| Prompt | Engine | Apache Spark | MySQL |
|---|---|---|---|
| How do companies store and query business data at scale without a dedicated tool? | ChatGPT | #9 | #2 |
| How do companies store and query business data at scale without a dedicated tool? | AI Mode | #11 | #7 |
Features, pricing & fit
| Dimension | Apache Spark | MySQL |
|---|---|---|
| Deployment | Runs on single machines or on clusters: standalone, Hadoop YARN, Apache Mesos or Kubernetes. | Cloud service (HeatWave) and self-managed software using a client-server model, also available as an embeddable library |
| Support | — | 24x7 direct technical support from MySQL engineers via MySQL Enterprise Edition |
| Founded | 2010 | — |
| Headquarters | Wilmington, Delaware | Austin, Texas, United States (parent Oracle's headquarters) |
| Employees | 5,000+ | 5,000+ |
| Funding | — | Series C · $39M raised |
| Best for | Data engineering, data science and machine learning work on single machines or clusters. | Web-based applications, and ISVs, OEMs and VARs embedding a database in their products |
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
MySQL
- well suited to transactional workloads
- common primary production database with read replicas
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Apache Spark vs MySQL”, https://slateindex.ai/compare/apache-spark-vs-mysql, data of Nov 3, 2026. Licence: CC BY 4.0.