Apache Spark vs Snowflake
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Snowflake is the stronger AI pick in Data Warehouse: it has a visibility score of 68.6 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 Snowflake if…
- You want the brand AI engines rank higher (68.6 vs 0.9)
- You need ISO 27001 or SOC 1 or SOC 2 Type 2 or FedRAMP Moderate or FedRAMP High or DoD IL4 or DoD IL5 or PCI-DSS or HITRUST or TISAX or ITAR or ISO 42001 coverage
- Multi-cloud deployment and secure, governed data sharing
- Decoupled storage and compute architecture
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Apache Spark | Snowflake |
|---|---|---|
| Visibility score | 0.9% | 68.6% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #26 | #1 |
| Share of voice | 0.5% | 11.3% |
| Mentions this run | 3 | 63 |
| Positive in AI answers | — | 35% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Apache Spark 0pp · Snowflake 0pp over 0 weekly runs.
Engine by engine
Snowflake leads on 3 of 3 engines
Head to head in AI answers
3 engine answers name both brands
| Prompt | Engine | Apache Spark | Snowflake |
|---|---|---|---|
| How do companies store and query business data at scale without a dedicated tool? | ChatGPT | #9 | #6 |
| How do companies store and query business data at scale without a dedicated tool? | AI Mode | #11 | #1 |
| Compare the leading data warehouse platforms | ChatGPT | #8 | #1 |
Features, pricing & fit
| Dimension | Apache Spark | Snowflake |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Contact sales |
| Free plan | — | No |
| Deployment | Runs on single machines or on clusters: standalone, Hadoop YARN, Apache Mesos or Kubernetes. | Fully managed cloud service that runs across major public clouds and regions |
| Compliance | — | ISO 27001, SOC 1, SOC 2 Type 2, FedRAMP Moderate, FedRAMP High, DoD IL4, DoD IL5, PCI-DSS, HITRUST, TISAX, ITAR, ISO 42001 |
| Support | — | Support, Priority Support, Status page, Community forum |
| Founded | 2010 | 2012 |
| Headquarters | Wilmington, Delaware | Andover, KS, United States |
| Employees | 5,000+ | 5,000+ |
| Funding | — | Post-IPO equity |
| Best for | Data engineering, data science and machine learning work on single machines or clusters. | Enterprises that run data engineering, analytics and AI on governed enterprise data, including large and highly regulated organizations |
Plans side by side
Apache Spark
Pricing not available.
Snowflake
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
Snowflake
- Multi-cloud deployment and secure, governed data sharing
- Decoupled storage and compute architecture
- Free trial with usage credits for easy getting started
- Widely adopted, most popular cloud data warehouse
- Strong for enterprise governance, high concurrency and workload isolation
- Unoptimized queries can rack up a surprisingly high bill
- Consumption pricing and credit usage are hard to predict
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Apache Spark vs Snowflake”, https://slateindex.ai/compare/apache-spark-vs-snowflake, data of Nov 3, 2026. Licence: CC BY 4.0.