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  5. Ananas Analytics Desktop vs Redash

Ananas Analytics Desktop vs Redash

OverviewComparisonAlternatives

Overview

Redash
Redash
Stacks338
Followers502
Votes12
Ananas Analytics Desktop
Ananas Analytics Desktop
Stacks0
Followers11
Votes0
GitHub Stars578
Forks43

Ananas Analytics Desktop vs Redash: What are the differences?

What is Ananas Analytics Desktop? *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.

What is Redash? Easily query an existing database, share the dataset and visualize it in different ways. 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.

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

Some of the features offered by Ananas Analytics Desktop are:

  • Built for Non-technical User
  • Powered by SQL
  • Offline Mode

On the other hand, Redash provides the following key features:

  • Query Editor
  • Dashboards/Visualizations
  • Alerts

Ananas Analytics Desktop and Redash are both open source tools. It seems that Redash with 13.4K GitHub stars and 2.23K forks on GitHub has more adoption than Ananas Analytics Desktop with 365 GitHub stars and 17 GitHub forks.

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Detailed Comparison

Redash
Redash
Ananas Analytics Desktop
Ananas Analytics Desktop

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.

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.

Query Editor;Dashboards/Visualizations;Alerts;API;Support for querying multiple databases
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
-
GitHub Stars
578
GitHub Forks
-
GitHub Forks
43
Stacks
338
Stacks
0
Followers
502
Followers
11
Votes
12
Votes
0
Pros & Cons
Pros
  • 9
    Open Source
  • 3
    SQL Friendly
Cons
  • 1
    All results are loaded into RAM before displaying
  • 1
    Memory Leaks
No community feedback yet
Integrations
PostgreSQL
PostgreSQL
Cassandra
Cassandra
MongoDB
MongoDB
Amazon DynamoDB
Amazon DynamoDB
Amazon RDS
Amazon RDS
Amazon Athena
Amazon Athena
Jira
Jira
PagerDuty
PagerDuty
Prometheus
Prometheus
Slack
Slack
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 Redash, Ananas Analytics Desktop?

Metabase

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

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.

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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