What is Mara?
A lightweight ETL framework with a focus on transparency and complexity reduction.
Mara is a tool in the Big Data Tools category of a tech stack.
Mara is an open source tool with GitHub stars and GitHub forks. Here’s a link to Mara's open source repository on GitHub
Who uses Mara?
Pros of Mara
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Mara's Features
- Data integration pipelines as code: pipelines, tasks and commands are created using declarative Python code.
- PostgreSQL as a data processing engine.
- Extensive web ui. The web browser as the main tool for inspecting, running and debugging pipelines.
- GNU make semantics. Nodes depend on the completion of upstream nodes. No data dependencies or data flows.
- No in-app data processing: command line tools as the main tool for interacting with databases and data.
- Single machine pipeline execution based on Python's multiprocessing. No need for distributed task queues. Easy debugging and and output logging.
- Cost based priority queues: nodes with higher cost (based on recorded run times) are run first.
Mara Alternatives & Comparisons
What are some alternatives to Mara?
Airflow
Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
Riot
Riot brings custom tags to all browsers. Think React + Polymer but with enjoyable syntax and a small learning curve.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
