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  5. Narrator vs QlikView

Narrator vs QlikView

OverviewComparisonAlternatives

Overview

QlikView
QlikView
Stacks67
Followers61
Votes0
Narrator
Narrator
Stacks3
Followers8
Votes0

Narrator vs QlikView: What are the differences?

Introduction

In the world of data analytics and visualization, tools like Narrator and QlikView play a significant role. Understanding the key differences between these two platforms is crucial for organizations looking to make informed decisions about their data strategies.

  1. User Interface: One of the primary differences between Narrator and QlikView lies in their user interfaces. Narrator offers a modern, intuitive interface with drag-and-drop functionality, making it easier for users to create interactive visualizations without the need for coding skills. On the other hand, QlikView has a more traditional interface that may require some level of technical expertise to navigate effectively.

  2. Data Connectivity: Another key difference between the two platforms is their approach to data connectivity. Narrator has built-in connectors to various data sources, including databases, cloud storage, and APIs, allowing users to easily import and analyze data from multiple sources. In contrast, QlikView relies on ODBC connections, which may require additional configuration and setup to access different data sources.

  3. Scalability: When it comes to scalability, QlikView is known for its ability to handle large volumes of data efficiently. The platform utilizes in-memory technology to improve performance and enable real-time data analysis, making it suitable for organizations dealing with massive datasets. In comparison, Narrator may face limitations in processing large datasets due to its reliance on cloud-based infrastructure.

  4. Customization Options: In terms of customization, QlikView offers more flexibility for users to tailor their visualizations and dashboards according to specific requirements. The platform provides advanced scripting capabilities and a wide range of design options, allowing users to create highly personalized analytics applications. Conversely, Narrator offers a more streamlined approach to customization, making it easier for beginners to design appealing visualizations quickly.

  5. Deployment and Integration: The deployment and integration capabilities of Narrator and QlikView also differ significantly. While QlikView provides robust on-premises deployment options and seamless integration with existing systems, Narrator shines in its cloud-native architecture, enabling easy deployment and integration with cloud services. This difference may influence organizations' decisions based on their preferred IT infrastructure and deployment strategies.

  6. Cost and Licensing Model: Lastly, the cost and licensing model of Narrator and QlikView vary, impacting the overall investment required for implementing these platforms. QlikView typically follows a traditional perpetual licensing model, which involves upfront costs and ongoing maintenance fees. In contrast, Narrator offers a subscription-based pricing structure, allowing organizations to pay for usage on a monthly or annual basis, making it a more cost-effective option for some businesses.

In Summary, understanding the key differences between Narrator and QlikView in terms of user interface, data connectivity, scalability, customization options, deployment and integration, as well as cost and licensing models, is essential for organizations seeking the right data analytics and visualization solution.

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Detailed Comparison

QlikView
QlikView
Narrator
Narrator

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.

It replaces a star schema with one 11-column data model. Their new self-serve product transforms your company’s data into a single 11-column data model and allows you to generate any table for BI, reporting, and analysis using just that model.

Advanced Data Prep; Dashboarding
One table, one source of truth; Minimal maintenance; Deliver stories, not dashboards;
Statistics
Stacks
67
Stacks
3
Followers
61
Followers
8
Votes
0
Votes
0
Integrations
MySQL
MySQL
Microsoft SQL Server
Microsoft SQL Server
Oracle
Oracle
Azure SQL Database
Azure SQL Database
Amazon Redshift
Amazon Redshift
Google BigQuery
Google BigQuery
Snowflake
Snowflake
PostgreSQL
PostgreSQL

What are some alternatives to QlikView, Narrator?

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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