Overview

Looker

Stacks632

Followers656

Votes9

QlikView

Stacks67

Followers61

Votes0

Looker vs QlikView: What are the differences?

Introduction:

1. Data Integration: Looker focuses on integrating data directly from databases, while QlikView extracts data into its proprietary in-memory engine for analysis.

2. Visualization Capabilities: Looker provides advanced visualization options, including embedding custom visualizations, whereas QlikView offers extensive out-of-the-box visualizations with less customization flexibility.

3. User Interface: Looker's interface is more user-friendly and intuitive for non-technical users, while QlikView's interface may require more technical expertise for customization and usage.

4. Deployment Options: Looker is primarily cloud-based, allowing for easier scalability and lower maintenance costs, while QlikView can be deployed both on-premises and in the cloud, providing more flexibility but potentially higher deployment costs.

5. Support for Real-time Analytics: Looker excels in providing real-time analytics capabilities with its modern architecture, while QlikView may face challenges in delivering real-time insights due to its underlying data extraction methods.

6. Collaboration Features: Looker offers robust collaboration features such as data sharing and commenting within the platform, whereas QlikView may lack such collaborative functionalities, making teamwork more challenging.

In Summary, Looker and QlikView differ in data integration methods, visualization capabilities, user interface, deployment options, support for real-time analytics, and collaboration features.

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Advice on Looker, QlikView

Vojtech

Head of Data at Mews

Nov 24, 2019

Decided

Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.

And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.

Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.

353k views353k

Comments

Wei

CTO at Flux Work

Jan 8, 2020

Decided

Very easy-to-use UI. Good way to make data available inside the company for analysis.

Has some built-in visualizations and can be easily integrated with other JS visualization libraries such as D3.

Can be embedded into product to provide reporting functions.

Support team are helpful.

The only complain I have is lack of API support. Hard to track changes as codes and automate report deployment.

230k views230k

Comments

Detailed Comparison

Looker	QlikView
We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way.	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.
Zero-lag access to data;No limits;Personalized setup and support;No uploading, warehousing, or indexing;Deploy anywhere;Works in any browser, anywhere;Personalized access points	Advanced Data Prep; Dashboarding
Statistics
Stacks 632	Stacks 67
Followers 656	Followers 61
Votes 9	Votes 0
Pros & Cons
Pros 4 Real time in app customer chat support 4 GitHub integration 1 Reduces the barrier of entry to utilizing data Cons 3 Price	No community feedback yet
Integrations
No integrations available	MySQL Microsoft SQL Server Oracle

What are some alternatives to Looker, QlikView?

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'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: 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

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

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

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 is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

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 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

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.