Ananas Analytics Desktop vs Mprove
Overview
Detailed Comparison
A better workflow for teams. Data Analysts create SQL models. Business users explore models using a simple user interface. | It is a hackable data integration & analysis tool to enable non technical users to edit data processing jobs and visualise data on demand. You can connect data from anywhere. Transform, analyze, and visualize with simple steps. |
Dashboards;
Charts;
Filters;
SQL;
Git powered workflow;
Split SQL into YAML chunks;
Reusable SQL blocks;
Time zones;
Open source | Built for Non-technical User; Powered by SQL; Offline Mode; Comes with technical tools for engineers to test, and run Ananas data projects in cloud or on premise |
Statistics | |
GitHub Stars 329 | GitHub Stars 578 |
GitHub Forks 27 | GitHub Forks 43 |
Stacks 3 | Stacks 0 |
Followers 6 | Followers 11 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Mprove, Ananas Analytics Desktop?
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.
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.
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.
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.
AskNed
AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.
Shiny
It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.
Redash
Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.
Azure Synapse
It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.
