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  5. Cumul.io vs QlikView

Cumul.io vs QlikView

OverviewComparisonAlternatives

Overview

QlikView
QlikView
Stacks67
Followers61
Votes0
Cumul.io
Cumul.io
Stacks7
Followers15
Votes0

QlikView vs Cumul.io: What are the differences?

Developers describe QlikView as "A Business Intelligence platform for turning data into knowledge". It is a business discovery platform that provides self-service BI for all business users in organizations. With this tool, you can analyze data and use your data discoveries to support decision making. On the other hand, Cumul.io is detailed as "The building block for dashboards in your platform". Create powerful dashboards in minutes. Share with your teams, or integrate in your platform. Drive growth in your business today!

Designing great graphs quick, like Klipfolio, but easier Many datasource plugins.

QlikView and Cumul.io are primarily classified as "Business Intelligence" and "Business Dashboards" tools respectively.

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Detailed Comparison

QlikView
QlikView
Cumul.io
Cumul.io

It is a business discovery platform that provides self-service BI for all business users in organizations. With this tool, you can analyze data and use your data discoveries to support decision making.

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

Advanced Data Prep; Dashboarding
-
Statistics
Stacks
67
Stacks
7
Followers
61
Followers
15
Votes
0
Votes
0
Integrations
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
Oracle
Oracle
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 QlikView, 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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