dataproc-templates VS pubsub2inbox

Compare dataproc-templates vs pubsub2inbox and see what are their differences.

dataproc-templates

Dataproc templates and pipelines for solving simple in-cloud data tasks (by GoogleCloudPlatform)
apache-spark Bigquery GCP google-cloud google-cloud-platform jupyter-notebook Pyspark
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pubsub2inbox

Pubsub2Inbox is a versatile, multi-purpose tool to handle Pub/Sub messages and turn them into email, API calls, GCS objects, files or almost anything. (by GoogleCloudPlatform)
cloud-run gcp-cloud-functions google-cloud google-cloud-platform Pubsub
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dataproc-templates pubsub2inbox
1 1
111 31
4.5% -
8.7 8.4
2 days ago 16 days ago
Python Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

dataproc-templates

Posts with mentions or reviews of dataproc-templates. We have used some of these posts to build our list of alternatives and similar projects.

pubsub2inbox

Posts with mentions or reviews of pubsub2inbox. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing dataproc-templates and pubsub2inbox you can also consider the following projects:

ethereum-etl-airflow - Airflow DAGs for exporting, loading, and parsing the Ethereum blockchain data. How to get any Ethereum smart contract into BigQuery https://towardsdatascience.com/how-to-get-any-ethereum-smart-contract-into-bigquery-in-8-mins-bab5db1fdeee

gcp-flowlogs-reader - Command line tool and Python library for working with Google Cloud VPC Flow Logs

weather_data_pipeline - This is a PySpark-based data pipeline that fetches weather data for a few cities, performs some basic processing and transformation on the data, and then writes the processed data to a Google Cloud Storage bucket and a BigQuery table.The data is then viewed in a looker dashboard

pyDag - Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag

forseti-security - Forseti Security

dimutex - asyncio Python library for distributed mutex with GCS as a backend

Patek - A collection of reusable pyspark utility functions that help make development easier!

cloud-nebulous-serverless - This repo is for the codelabs (free, online, self-paced tutorials) showing developers how they can deploy the same app locally *and* to all three fully-managed serverless compute platforms from Google Cloud w/just minor config changes.

bigquery-utils - Useful scripts, udfs, views, and other utilities for migration and data warehouse operations in BigQuery.

iris3 - An upgraded and improved version of the Iris automatic GCP-labeling project

dataproc-templates vs ethereum-etl-airflow pubsub2inbox vs gcp-flowlogs-reader dataproc-templates vs weather_data_pipeline pubsub2inbox vs pyDag dataproc-templates vs forseti-security pubsub2inbox vs dimutex dataproc-templates vs Patek pubsub2inbox vs cloud-nebulous-serverless dataproc-templates vs bigquery-utils pubsub2inbox vs iris3 dataproc-templates vs gcp-flowlogs-reader pubsub2inbox vs ethereum-etl-airflow