Mara vs Mondrian
Overview
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Detailed Comparison
It is a Hitachi Group Company, data integration and business analytics company with an enterprise, Online Analytical Processing server (OLAP). Allows business users to analyze large and complex amounts of data in real-time. | A lightweight ETL framework with a focus on transparency and complexity reduction. |
Analyze all your data in real-time;
System responds to queries fast enough to allow an interactive exploration of the data;
Brings multidimensional analysis to the masses;
Allowing users to examine business data by drilling and cross-tabulating information. | 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. |
Statistics | |
GitHub Stars 1.2K | GitHub Stars - |
GitHub Forks 735 | GitHub Forks - |
Stacks 19 | Stacks 5 |
Followers 26 | Followers 21 |
Votes 0 | Votes 3 |
Pros & Cons | |
No community feedback yet | Pros
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Integrations | |
| No integrations available | |
What are some alternatives to Mondrian, Mara?
Apache Spark
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Presto
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Vertica
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