Apache SparkOpen-source multi-language engine for data engineering, data science and machine learning.
vs
SingleStoreThe real-time database for AI, apps and analytics
Comparison · Data Warehouse · weekly run Nov 3
Apache Spark vs SingleStore
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 SingleStore.
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 SingleStore if…
- You need ISO/IEC 27001 or SOC 2 Type 2 or HIPAA or GDPR or CCPA or Privacy Shield or PCI DSS v4.0.1 coverage
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Apache Spark | SingleStore |
|---|---|---|
| Visibility score | 0.9% | 0% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #26 | #36 |
| Share of voice | 0.5% | 0% |
| Mentions this run | 3 | 0 |
| Positive in AI answers | — | 0% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Apache Spark 0pp · SingleStore 0pp over 0 weekly runs.
Engine by engine
Apache Spark leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
Apache SparkSingleStore
Head to head in AI answers
0 engine answers name both brands
0Apache Spark ranked higher
0SingleStore ranked higher
Features, pricing & fit
| Dimension | Apache Spark | SingleStore |
|---|---|---|
| Pricing model | — | Usage-based |
| Entry price | — | Free; paid from $0.99 / mo |
| Free plan | — | Yes |
| Deployment | Runs on single machines or on clusters: standalone, Hadoop YARN, Apache Mesos or Kubernetes. | Managed cloud service on AWS, Azure and Google Cloud, plus self-managed deployments and a bring-your-own-cloud option |
| Compliance | — | ISO/IEC 27001, SOC 2 Type 2, HIPAA, GDPR, CCPA, Privacy Shield, PCI DSS v4.0.1 |
| Support | — | Self-support on the free tier, Standard Support on paid tiers, Talk to a specialist, Technical support request |
| Founded | 2010 | 2011 |
| Headquarters | Wilmington, Delaware | San Francisco, CA |
| Employees | 5,000+ | 201–500 |
| Funding | — | Series F-2 (led by Goldman Sachs) · $558M raised |
| Best for | Data engineering, data science and machine learning work on single machines or clusters. | Teams building real-time applications, analytics and AI features that need live data without copies |
Plans side by side
Apache Spark
Pricing not available.
SingleStore
Shared$0free workspace
Standard$0.99hour (starts at)
BYOC StandardCustomcontact us
Enterprise$1.49hour (starts at)
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
SingleStore
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Apache Spark vs SingleStore”, https://slateindex.ai/compare/apache-spark-vs-singlestore, data of Nov 3, 2026. Licence: CC BY 4.0.