Git vs Row Zero
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency. | It is a spreadsheet that opens hundred million row data sets, connects directly to data repositories, and supports collaboration. It enables anyone with spreadsheet skills to work with big data and connect to live data sources. |
| - | Write Excel-compatible formulas to process hundreds of millions of rows instantly;
Filter, sort, pivot, and plot the way you already know how - no BI tool training required;
Connect to any data source;
Sharing and collaboration |
Statistics | |
GitHub Stars 57.1K | GitHub Stars - |
GitHub Forks 26.9K | GitHub Forks - |
Stacks 343.8K | Stacks 0 |
Followers 184.2K | Followers 4 |
Votes 6.6K | Votes 0 |
Pros & Cons | |
Pros
Cons
| No community feedback yet |
Integrations | |
| No integrations available | |
What are some alternatives to Git, Row Zero?
Metabase
It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.
Mercurial
Mercurial is dedicated to speed and efficiency with a sane user interface. It is written in Python. Mercurial's implementation and data structures are designed to be fast. You can generate diffs between revisions, or jump back in time within seconds.
Superset
Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.
SVN (Subversion)
Subversion exists to be universally recognized and adopted as an open-source, centralized version control system characterized by its reliability as a safe haven for valuable data; the simplicity of its model and usage; and its ability to support the needs of a wide variety of users and projects, from individuals to large-scale enterprise operations.
Cube
Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.
Power BI
It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
Mode
Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.
Plastic SCM
Plastic SCM is a distributed version control designed for big projects. It excels on branching and merging, graphical user interfaces, and can also deal with large files and even file-locking (great for game devs). It includes "semantic" features like refactor detection to ease diffing complex refactors.
Google Datastudio
It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.
Google Sheets
Access, create, and edit your spreadsheets wherever you go—from your phone, tablet, or computer.
