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  5. IBM Cognos Analytics vs Superset

IBM Cognos Analytics vs Superset

OverviewComparisonAlternatives

Overview

Superset
Superset
Stacks420
Followers1.0K
Votes45
IBM Cognos Analytics
IBM Cognos Analytics
Stacks19
Followers17
Votes0

IBM Cognos Analytics vs Superset: What are the differences?

Introduction

IBM Cognos Analytics and Superset are both popular data visualization and analytics tools used by organizations to derive insights from their data. While both tools have their strengths and use cases, there are key differences between them that set them apart.

  1. Data Source Connectivity: IBM Cognos Analytics provides a wide range of built-in connectors to various data sources, including databases, spreadsheets, cloud storage, and enterprise applications. It also allows users to create custom connectors using Data Modules. On the other hand, Superset supports a wide range of databases as data sources, but it requires users to set up a connection manually by providing connection details.

  2. User Interface: IBM Cognos Analytics offers a highly intuitive and user-friendly interface with drag-and-drop capabilities, making it easy for non-technical users to create interactive dashboards and reports. On the contrary, Superset has a more technical interface that requires users to have some knowledge of SQL and data visualization.

  3. Advanced Analytics: IBM Cognos Analytics provides advanced analytics capabilities such as forecasting, predictive modeling, and statistical analysis. It also offers features like data exploration and data blending to analyze complex data. Whereas, Superset primarily focuses on data visualization and exploration, offering limited advanced analytics features.

  4. Security and Access Control: IBM Cognos Analytics offers robust security features, allowing administrators to define user roles, access permissions, and data-level security. It supports integration with enterprise authentication systems like LDAP and Active Directory. Superset, on the other hand, provides basic role-based access control but lacks advanced security features like data-level security.

  5. Collaboration and Sharing: IBM Cognos Analytics facilitates easy collaboration among users, allowing them to share reports, dashboards, and insights with others. Users can also annotate and comment on specific data points within a report. Conversely, Superset lacks built-in collaboration features, making it less suitable for collaborative analytics workflows.

  6. Customization and Extensibility: IBM Cognos Analytics allows users to customize the appearance and layout of dashboards and reports to match their branding or specific requirements. It also supports the development of custom extensions using JavaScript. Superset, while highly customizable, requires more technical expertise as it is primarily done through writing SQL queries and using custom visualization libraries.

In summary, IBM Cognos Analytics offers a wider range of data source connectivity options, advanced analytics capabilities, collaborative features, and customization capabilities compared to Superset. Superset, on the other hand, has a more technical interface and is better suited for users who are comfortable with SQL and want a lightweight data visualization tool. Overall, the choice between the two tools depends on the specific needs and skill sets of the users.

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Detailed Comparison

Superset
Superset
IBM Cognos Analytics
IBM Cognos Analytics

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.

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.

A rich set of visualizations to analyze your data, as well as a flexible way to extend the capabilities;An extensible, high granularity security model allowing intricate rules on who can access which features, and integration with major authentication providers (database, OpenID, LDAP, OAuth & REMOTE_USER through Flask AppBuiler);A simple semantic layer, allowing to control how data sources are displayed in the UI, by defining which fields should show up in which dropdown and which aggregation and function (metrics) are made available to the user;Deep integration with Druid allows for Caravel to stay blazing fast while slicing and dicing large, realtime datasets;
Protect your data; Visualize your business performance; Share critical insights easily
Statistics
Stacks
420
Stacks
19
Followers
1.0K
Followers
17
Votes
45
Votes
0
Pros & Cons
Pros
  • 13
    Awesome interactive filtering
  • 9
    Free
  • 6
    Wide SQL database support
  • 6
    Shareable & editable dashboards
  • 5
    Great for data collaborating on data exploration
Cons
  • 4
    Link diff db together "Data Modeling "
  • 3
    It is difficult to install on the server
  • 3
    Ugly GUI
No community feedback yet

What are some alternatives to Superset, 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.

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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