GCPSteamAnalytics
Dataplane
GCPSteamAnalytics | Dataplane | |
---|---|---|
1 | 1 | |
2 | 184 | |
- | 1.6% | |
9.4 | 8.3 | |
6 months ago | 4 months ago | |
Go | Go | |
Apache License 2.0 | Business Source License 1.1 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
GCPSteamAnalytics
Dataplane
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Airflow VS dataplane - a user suggested alternative
2 projects | 3 May 2022
Dataplane is an Airflow inspired data platform to automate, schedule and design data pipelines and workflows written in Golang.
What are some alternatives?
optimus - Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
dagu - Yet another cron alternative with a Web UI, but with much more capabilities. It aims to solve greater problems.
werf - A solution for implementing efficient and consistent software delivery to Kubernetes facilitating best practices.
transfer - Database replication platform that leverages change data capture. Stream production data from databases to your data warehouse (Snowflake, BigQuery, Redshift) in real-time.
goflow - Simple but powerful DAG scheduler and dashboard
data-engineering-wiki - The best place to learn data engineering. Built and maintained by the data engineering community.
Gitkube - Build and deploy docker images to Kubernetes using git push
JDR - Job Dependency Runner
dagster - An orchestration platform for the development, production, and observation of data assets.
starthinker - Reference framework for building data workflows provided by Google. Accelerates authentication, logging, scheduling, and deployment of solutions using GCP. To borrow a tagline.. "The framework for professionals with deadlines."