Apache SparkOpen-source multi-language engine for data engineering, data science and machine learning.
vs
DremioThe Agentic Lakehouse: Built for Agents, Managed by Agents
Comparison · Data Warehouse · weekly run Nov 3
Apache Spark vs Dremio
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 0.6 for Dremio.
Choose Apache Spark if…
- You want the brand AI engines rank higher (0.9 vs 0.6)
- Strong distributed processing capabilities for massive workloads
- Distributes query execution across a cluster of commodity machines
Choose Dremio if…
- You need a self-hosted or on-premises option
- You need SOC 2 Type 2 or ISO 27001:2013 or GDPR or CCPA coverage
- keeps data in an open lakehouse without copying it into a proprietary warehouse
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Apache Spark | Dremio |
|---|---|---|
| Visibility score | 0.9% | 0.6% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #26 | #27 |
| Share of voice | 0.5% | 0.4% |
| Mentions this run | 3 | 2 |
| Positive in AI answers | — | 50% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Apache Spark 0pp · Dremio 0pp over 0 weekly runs.
Engine by engine
Apache Spark leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
Apache SparkDremio
Head to head in AI answers
0 engine answers name both brands
0Apache Spark ranked higher
0Dremio ranked higher
Features, pricing & fit
| Dimension | Apache Spark | Dremio |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | $0.2 / mo |
| Free plan | — | No · 30-day trial |
| Deployment | Runs on single machines or on clusters: standalone, Hadoop YARN, Apache Mesos or Kubernetes. | Fully managed cloud service (Dremio Cloud) or self-managed software on Kubernetes, on-premises or in AWS, Azure or GCP (Dremio Enterprise). |
| Compliance | — | SOC 2 Type 2, ISO 27001:2013, GDPR, CCPA |
| Support | — | Enterprise-grade support plans, Security documentation and Trust Center, Hands-on workshops |
| Founded | 2010 | 2015 |
| Headquarters | Wilmington, Delaware | — |
| Employees | 5,000+ | — |
| Funding | — | Series E |
| Best for | Data engineering, data science and machine learning work on single machines or clusters. | Teams wanting a zero-maintenance, cloud-native experience and fast time to value (Dremio Cloud); organizations needing full control, on-prem requirements, or strict compliance constraints (Dremio Enterprise). |
Plans side by side
Apache Spark
Pricing not available.
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
Dremio
- keeps data in an open lakehouse without copying it into a proprietary warehouse
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Apache Spark vs Dremio”, https://slateindex.ai/compare/apache-spark-vs-dremio, data of Nov 3, 2026. Licence: CC BY 4.0.