AWS Glue DataBrew
7.2#2 in schema registry softwareWebAPI
VisitAWS Glue DataBrew vs Google Cloud Pub/Sub
Google Cloud Pub/Sub
6.9#6 in schema registry software$40 usage-basedFree planWebAPI
VisitWhat both publish
| Fact | AWS Glue DataBrew | Google Cloud Pub/Sub |
|---|---|---|
| Integrations | DataBrew datasets can use files, Amazon S3, supported JDBC data sources, or the AWS Glue Data Catalog. | Google Cloud integrations include Dataflow, BigQuery, Cloud Storage, Cloud Functions, Cloud Run, App Engine, Cloud Logging, Cloud Monitoring, Workflows, and Eventarc. |
| Intended users | AWS identifies data analysts and data scientists who prepare data for analytics and machine learning as DataBrew’s primary users. | Pub/Sub is intended for service-to-service communication rather than direct communication with end-user or IoT clients. |
| Security | AWS documentation recommends IAM access controls, TLS for communications, CloudTrail activity logging, and AWS encryption solutions. | Pub/Sub offers fine-grained access controls, end-to-end encryption, and HIPAA compliance. |
AWS Glue DataBrew plans
- DataBrew jobs$0.48 a month
- DataBrew interactive sessions$1, paid once
- Pay-as-you-goPriced on request
Google Cloud Pub/Sub plans
- Free usage allowanceFree
- Pay-as-you-go throughput$40 a month
- Free monthly tierFree
- Pay-as-you-go$40 a month
Pick AWS Glue DataBrew if…
It suits data analysts and data scientists preparing data for analytics or machine learning, especially those who want visual transformations instead of writing code. It can also serve teams working with large datasets across data lakes, warehouses, and databases.
Pick Google Cloud Pub/Sub if…
Pub/Sub suits teams building service-to-service messaging for analytics, data pipelines, middleware or task queues. It is not intended for direct messaging with end-user or IoT clients.