MaraWhat is Mara?
A lightweight ETL framework with a focus on transparency and complexity reduction.
Mara is a tool in the Databases category of a tech stack.
Key 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 Pros & Cons
Pros of Mara
- ✓ETL Tool
- ✓Great developing experience
- ✓UI focused on ETL development
Cons of Mara
No cons listed yet.
Mara Alternatives & Comparisons
What are some alternatives to Mara?
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Apache Flink
Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
