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  5. Ananas Analytics Desktop vs IBM Cognos Analytics

Ananas Analytics Desktop vs IBM Cognos Analytics

OverviewComparisonAlternatives

Overview

Ananas Analytics Desktop
Ananas Analytics Desktop
Stacks0
Followers11
Votes0
GitHub Stars578
Forks43
IBM Cognos Analytics
IBM Cognos Analytics
Stacks19
Followers17
Votes0

Ananas Analytics Desktop vs IBM Cognos Analytics: What are the differences?

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; IBM Cognos Analytics: A business intelligence solution that empowers users with AI-infused self-service capabilities. It is a business intelligence solution that empowers users with AI-infused self-service capabilities that accelerate data preparation, analysis, and report creation It makes it easier than ever to visualize data and share actionable insights across your organization to foster more data-driven decisions..

Ananas Analytics Desktop and IBM Cognos Analytics belong to "Business Intelligence" category of the tech stack.

Some of the features offered by Ananas Analytics Desktop are:

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

On the other hand, IBM Cognos Analytics provides the following key features:

  • Protect your data
  • Visualize your business performance
  • Share critical insights easily

Ananas Analytics Desktop is an open source tool with 524 GitHub stars and 33 GitHub forks. Here's a link to Ananas Analytics Desktop's open source repository on GitHub.

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Detailed Comparison

Ananas Analytics Desktop
Ananas Analytics Desktop
IBM Cognos Analytics
IBM Cognos Analytics

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.

It is a business intelligence solution that empowers users with AI-infused self-service capabilities that accelerate data preparation, analysis, and report creation. It makes it easier than ever to visualize data and share actionable insights across your organization to foster more data-driven decisions.

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
Protect your data; Visualize your business performance; Share critical insights easily
Statistics
GitHub Stars
578
GitHub Stars
-
GitHub Forks
43
GitHub Forks
-
Stacks
0
Stacks
19
Followers
11
Followers
17
Votes
0
Votes
0
Integrations
PostgreSQL
PostgreSQL
MySQL
MySQL
Google Cloud Storage
Google Cloud Storage
Google BigQuery
Google BigQuery
Google Cloud SQL
Google Cloud SQL
JSON
JSON
No integrations available

What are some alternatives to Ananas Analytics Desktop, IBM Cognos Analytics?

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.

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.

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