Detailed comparison across 10 dimensions
Winner: Apache Spark
Apache Spark clearly comes out ahead of Google Cloud Dataflow on Staquest's weighted six-dimension score. Apache Spark has a free tier; Google Cloud Dataflow does not.
| Overview | ||
|---|---|---|
| Type | hybrid | saas tool |
| Company | Apache Software Foundation | |
| Free Tier | ||
| Has API | ||
| Open Source | ||
| Learning Curve | - | - |
| Integration | - | - |
| Trending | Stable | Stable |
| GitHub Stars | - | - |
| Industries | Data & AnalyticsDevelopmentMedia & Entertainment | Data & AnalyticsDevelopmentSales & CRM |
| Categories | data-engineering | data-engineering |
| Website | Visit | Visit |
Apache Spark
open source
usage based
| Feature | apache-spark | google-cloud-dataflow |
|---|---|---|
| Adaptive Query Execution | ||
| Data Compute Units (Dcus) | ||
| Ansi Sql Support | ||
| Dataflow Shuffle | ||
| Machine Learning | ||
| Gpus | ||
| Scalable Computing | ||
| Persistent Disk | ||
| Spark Sql Engine | ||
| Snapshots | ||
| Sql Analytics And Bi | ||
| Streaming Engine | ||
| Structured And Unstructured Data Support | ||
| Worker Memory | ||
| Worker Vcpu |
Showing 15 of 15 features
Dashes mean the feature isn't listed in our data. The tool may still support it.
On Staquest's weighted six-dimension scoring, Apache Spark comes out ahead overall, though Google Cloud Dataflow can be the better fit depending on your priorities — see the dimension-by-dimension breakdown above.
Apache Spark offers a free tier; Google Cloud Dataflow does not currently list one.
Apache Spark is open source. The feature comparison and dimension scores above cover the full breakdown.
