AWS Batch
7.1#2 in job scheduler softwareFree planFree planWebAPILinuxmacOS
VisitAWS Batch vs Google Cloud Batch
Google Cloud Batch
6.8#4 in job scheduler softwareFree planFree planWebAPILinux
VisitWhat both publish
| Fact | AWS Batch | Google Cloud Batch |
|---|---|---|
| Founded | 2016 | 1998 |
| Limit: learning curve | G2 reviewers repeatedly describe compute environments, queues and job definitions as complex to configure. | G2 reviewers report a steep learning curve, complex setup and limited flexibility or features in some scenarios. |
| Monitoring | The console shows capacity and job-state metrics, while standard output and error logs can be written to CloudWatch Logs. | Batch can send job and task state change notifications through Pub/Sub, and those notifications can be streamed to BigQuery for analysis. |
| Rating on G2 | 4.4 out of 5 from 95 reviews. | 4.4 out of 5 from 11 reviews. |
| Rating on TrustRadius | 7.3 out of 10 from 7 reviews. | 9 out of 10 from 59 reviews and ratings. |
AWS Batch plans
- AWS BatchFree
- AWS Batch serviceFree
Google Cloud Batch plans
- Batch serviceFree
Pick AWS Batch if…
AWS Batch suits teams running containerized machine learning, analytics, simulation, or other batch jobs on AWS. It may fit workflows that need job queues, dependencies, retries, GPU scheduling, or multi-node parallel execution.
Pick Google Cloud Batch if…
Batch suits teams running script-based or containerized jobs on Google Cloud, especially when they want resources provisioned and scaled for parallel work. Users should account for resource charges and job limits.