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  5. Ananas Analytics Desktop vs Metabase

Ananas Analytics Desktop vs Metabase

OverviewComparisonAlternatives

Overview

Metabase
Metabase
Stacks926
Followers1.2K
Votes271
GitHub Stars44.4K
Forks6.0K
Ananas Analytics Desktop
Ananas Analytics Desktop
Stacks0
Followers11
Votes0
GitHub Stars578
Forks43

Ananas Analytics Desktop vs Metabase: What are the differences?

Developers describe Ananas Analytics Desktop as "*A hackable data integration/analysis tool *". 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. On the other hand, Metabase is detailed as "An open-source business intelligence tool". Metabase 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.

Ananas Analytics Desktop and Metabase can be primarily classified as "Business Intelligence" tools.

Ananas Analytics Desktop and Metabase are both open source tools. Metabase with 16.2K GitHub stars and 2.16K forks on GitHub appears to be more popular than Ananas Analytics Desktop with 365 GitHub stars and 17 GitHub forks.

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Detailed Comparison

Metabase
Metabase
Ananas Analytics Desktop
Ananas Analytics Desktop

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.

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.

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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
44.4K
GitHub Stars
578
GitHub Forks
6.0K
GitHub Forks
43
Stacks
926
Stacks
0
Followers
1.2K
Followers
11
Votes
271
Votes
0
Pros & Cons
Pros
  • 62
    Database visualisation
  • 45
    Open Source
  • 41
    Easy setup
  • 36
    Dashboard out of the box
  • 23
    Free
Cons
  • 7
    Harder to setup than similar tools
No community feedback yet
Integrations
PostgreSQL
PostgreSQL
MongoDB
MongoDB
Amazon Redshift
Amazon Redshift
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
PostgreSQL
PostgreSQL
MySQL
MySQL
Google Cloud Storage
Google Cloud Storage
Google BigQuery
Google BigQuery
Google Cloud SQL
Google Cloud SQL
JSON
JSON

What are some alternatives to Metabase, Ananas Analytics Desktop?

Superset

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

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

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

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

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

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

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

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

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.

Periscope

Periscope

Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.

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