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  5. Cumul.io vs Qlik Sense

Cumul.io vs Qlik Sense

OverviewComparisonAlternatives

Overview

Qlik Sense
Qlik Sense
Stacks122
Followers100
Votes0
Cumul.io
Cumul.io
Stacks7
Followers15
Votes0

Cumul.io vs Qlik Sense: What are the differences?

<Introduction>
  1. Integration Capabilities: Cumul.io offers seamless integration with different data sources like databases, spreadsheets, and cloud applications through its APIs, enabling users to easily pull data for analysis. In contrast, Qlik Sense provides a variety of connectors for data integration, including RESTful APIs, ODBC, and custom connectors for specific data sources.
  2. Scalability: Qlik Sense is known for its high scalability, allowing users to handle large datasets and complex analyses efficiently. On the other hand, Cumul.io may have limitations on the size of datasets it can effectively process, making it more suitable for small to medium-sized businesses.
  3. User Interface: Qlik Sense is renowned for its intuitive and user-friendly interface, with drag-and-drop functionality and interactive visualizations that make data exploration easy for non-technical users. Cumul.io also offers a user-friendly interface but may lack the advanced features and customization options present in Qlik Sense.
  4. Collaboration Features: Qlik Sense emphasizes collaborative analytics, with features like shared bookmarks, commenting, and real-time collaboration that facilitate teamwork on data analysis projects. While Cumul.io also supports collaboration through shared dashboards and permissions management, it may not offer as extensive collaboration features as Qlik Sense.
  5. Cost Structure: The pricing model of Cumul.io is based on the number of users and data sources, offering flexible pricing plans that can be more cost-effective for small teams. In contrast, Qlik Sense follows a subscription-based pricing model, which may be more suitable for larger enterprises with complex analytical needs.
  6. Deployment Options: Qlik Sense provides on-premises, cloud, and hybrid deployment options, giving users flexibility in choosing how they want to host and manage their analytics platform. Cumul.io primarily focuses on cloud-based deployment, offering a hassle-free setup and maintenance experience for users looking for a quick start to their analytics journey.

In Summary, the key differences between Cumul.io and Qlik Sense lie in their integration capabilities, scalability, user interface, collaboration features, cost structure, and deployment options, catering to different analytical needs and preferences.

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Detailed Comparison

Qlik Sense
Qlik Sense
Cumul.io
Cumul.io

It helps uncover insights that query-based BI tools simply miss. Our one-of-a-kind Associative Engine brings together all your data so users can freely search and explore to find new connections. AI and cognitive capabilities offer insight suggestions, automation and conversational interaction.

Create powerful dashboards in minutes. Share with your teams, or integrate in your platform. Drive growth in your business today!

Statistics
Stacks
122
Stacks
7
Followers
100
Followers
15
Votes
0
Votes
0
Integrations
No integrations available
Google Drive
Google Drive
MongoDB
MongoDB
PostgreSQL
PostgreSQL
MariaDB
MariaDB
Clickhouse
Clickhouse
Amazon Redshift
Amazon Redshift
PipelineDB
PipelineDB
Amazon Athena
Amazon Athena
Microsoft Excel
Microsoft Excel
Microsoft SQL Server
Microsoft SQL Server

What are some alternatives to Qlik Sense, Cumul.io?

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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