Dataplane VS JDR

Compare Dataplane vs JDR and see what are their differences.

Dataplane

Dataplane is a data platform that makes it easy to construct a data mesh with automated data pipelines and workflows. (by dataplane-app)
data platform data-mesh ETL data-pipelines Workflows Golang Airflow Kubernetes Docker Data Scheduler workflow-automation Data Science data-engineering Workflow Data Analysis data-integration dataplane datawarehouse elt Pipelines
Source Code
dataplane.app
Docs
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JDR

Job Dependency Runner (by Chen-Alfred)
dependency-manager GUI Job Scheduler data-engineering data-integration Data Science ETL Metadata Python Scheduler Workflow workflow-automation
Source Code
hackmd.io
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InfluxDB - Power Real-Time Data Analytics at Scale
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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Dataplane JDR
1 2
184 3
1.1% -
8.3 2.4
4 months ago about 1 year ago
Go Python
Business Source License 1.1 GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

Dataplane

Posts with mentions or reviews of Dataplane. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-03.

JDR

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

What are some alternatives?

When comparing Dataplane and JDR you can also consider the following projects:

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

prism - Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.

dagu - Yet another cron alternative with a Web UI, but with much more capabilities. It aims to solve greater problems.

covalent - Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

transfer - Database replication platform that leverages change data capture. Stream production data from databases to your data warehouse (Snowflake, BigQuery, Redshift) in real-time.

dagster - An orchestration platform for the development, production, and observation of data assets.

data-engineering-wiki - The best place to learn data engineering. Built and maintained by the data engineering community.

Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai

Prefect - The easiest way to build, run, and monitor data pipelines at scale.

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."

doit - task management & automation tool

Dataplane vs Airflow JDR vs prism Dataplane vs dagu JDR vs covalent Dataplane vs transfer JDR vs dagster Dataplane vs data-engineering-wiki JDR vs Mage Dataplane vs dagster JDR vs Prefect Dataplane vs starthinker JDR vs doit