Apache SparkOpen-source multi-language engine for data engineering, data science and machine learning.
vs
MotherDuckThe Cloud Data Warehouse Built on DuckDB
Comparison · Data Warehouse · weekly run Nov 3
Apache Spark vs MotherDuck
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
MotherDuck is the stronger AI pick in Data Warehouse: it has a visibility score of 11.1 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 MotherDuck if…
- You want the brand AI engines rank higher (11.1 vs 0.9)
- You need SOC 2 Type II or GDPR coverage
- lightweight option for local-first data engineering
- free plan and no credit card required
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Apache Spark | MotherDuck |
|---|---|---|
| Visibility score | 0.9% | 11.1% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #26 | #9 |
| Share of voice | 0.5% | 3.2% |
| Mentions this run | 3 | 18 |
| Positive in AI answers | — | 64% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Apache Spark 0pp · MotherDuck 0pp over 0 weekly runs.
Engine by engine
MotherDuck leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
Apache SparkMotherDuck
Head to head in AI answers
0 engine answers name both brands
0Apache Spark ranked higher
0MotherDuck ranked higher
Features, pricing & fit
| Dimension | Apache Spark | MotherDuck |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Free; paid from $250 / mo |
| Free plan | — | Yes |
| Deployment | Runs on single machines or on clusters: standalone, Hadoop YARN, Apache Mesos or Kubernetes. | Managed cloud service |
| Integrations | — | 40+ |
| Compliance | — | SOC 2 Type II, GDPR |
| Support | — | In-app expert chat, Support engineers in the US and EU, Community access to MotherDuck experts |
| Founded | 2010 | 2022 |
| Headquarters | Wilmington, Delaware | Seattle, WA, United States |
| Employees | 5,000+ | 51–200 |
| Funding | — | Series B+ · $100M raised |
| Best for | Data engineering, data science and machine learning work on single machines or clusters. | Data teams and app developers who want serverless DuckDB analytics with isolated compute for each user, customer or agent. |
Plans side by side
Apache Spark
Pricing not available.
MotherDuck
Lite$0per org / month
Business$250per org / month + usage
EnterpriseCustomcustom
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
MotherDuck
- lightweight option for local-first data engineering
- free plan and no credit card required
- transparent public pricing with one-second billing minimum
- simple DuckDB-based option with predictable budget
- developer-friendly and suitable for early-stage SaaS
- surprise costs from billing minimums and query mistakes
- less suited to large enterprise workloads
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Apache Spark vs MotherDuck”, https://slateindex.ai/compare/apache-spark-vs-motherduck, data of Nov 3, 2026. Licence: CC BY 4.0.