Qlik VS Keras

Qlik

Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.

Keras

Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Landing page //
2023-06-28

Landing page //
2023-10-16

A Day in the life of a Qlik Cloud User

Keras videos

+ Add

3. Deep Learning Tutorial (Tensorflow2.0, Keras & Python) - Movie Review Classification

Category Popularity

0-100% (relative to Qlik and Keras)

Keras

Data Dashboard

100 100%

Data Dashboard

0% 0

Data Science And Machine Learning

0 0%

Data Science And Machine Learning

100% 100

Business Intelligence

100 100%

Business Intelligence

0% 0

Data Science Tools

0 0%

Data Science Tools

100% 100

User comments

Share your experience with using Qlik and Keras. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare Qlik and Keras

Qlik Reviews

The 7 Best Embedded iPaaS Solutions to Consider for 2024

Description: Qlik offers a range of integration capabilities that span four product lines. The flagship product is Qlik Replicate, a tool that replicates, synchronizes, distributes, consolidates, and ingests data across major databases, data warehouses, and Hadoop. The portfolio is buoyed by Qlik Compose for data lake and data warehouse automation and Qlik Catalog for...

Source: solutionsreview.com

25 Best Reporting Tools for 2022

QlikView is a classic Reporting Tool that provides analytical solutions and allows you to develop appealing visualization from the data. It is an Enterprise Tool that converts raw data into a meaningful format. Some features of QlikView are as follows:

Source: hevodata.com

Top 10 Visual Analytics Provider For 2021

With some of the most sophisticated array of visualisations, Qlik is a pioneer in visualisation analytics software. With Qlik Sense and QlikView, it helps with a wide range and unorthodox ways of presenting data. Its ‘associative analytics engine’ in Qlik Sense moves away from a query-based approach and lets you explore data without any limitations. The engine lets you...

Source: analyticsindiamag.com

Top 10 Data Integration Software: An Overview 28 Jan 2019

Qlik Connect, formerly Attunity Connect, is an easy-to-use, standards-based solution that provides you with fast, easy and cost-effective data access and availability. It provides real-time and seamless connectivity and integration with web applications. Additionally, this software features data-driven event detection and allows enterprises to build a service-oriented...

Source: mopinion.com

The 28 Best Data Integration Tools and Software for 2020

Description: The Qlik product suite features a range of data integration capabilities that span four distinct product lines. The flagship product is Qlik Replicate, a tool that replicates, synchronizes, distributes, consolidates, and ingests data across all major databases, data warehouses, and Hadoop. The portfolio of products is buoyed by Qlik Compose and Qlik Visibility....

Source: solutionsreview.com

Keras Reviews

10 Python Libraries for Computer Vision

TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.

Source: clouddevs.com

25 Python Frameworks to Master

Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.

Source: kinsta.com

15 data science tools to consider using in 2021

Keras is a programming interface that enables data scientists to more easily access and use the TensorFlow machine learning platform. It's an open source deep learning API and framework written in Python that runs on top of TensorFlow and is now integrated into that platform. Keras previously supported multiple back ends but was tied exclusively to TensorFlow starting with...

Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, Keras seems to be a lot more popular than Qlik. While we know about 31 links to Keras, we've tracked only 1 mention of Qlik. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Qlik mentions (1)

GME FTD - Moving Daily Avg.
All files was pulled into a program called : QLIK, qlik.com is the company and my company uses it for our reporting and our customer's reporting needs. Source: about 3 years ago

Keras mentions (31)

My Favorite DevTools to Build AI/ML Applications!
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / 23 days ago
Getting Started with Gemma Models
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / about 1 month ago
How popular are libraries in each technology
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / 11 months ago
Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year ago
How to query pandas DataFrames with SQL
Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more. - Source: dev.to / over 1 year ago

What are some alternatives?

When comparing Qlik and Keras, you can also consider the following products

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Sisense - The BI & Dashboard Software to handle multiple, large data sets.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.