Software Alternatives, Accelerators & Startups

Qlik VS ArcGIS API for Python

Compare Qlik VS ArcGIS API for Python and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Qlik logo 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.

ArcGIS API for Python logo ArcGIS API for Python

Perform visualization, analysis and management of your web GIS using a powerful, modern and easy to use Python API.
  • Qlik Landing page
    Landing page //
    2023-06-28
  • ArcGIS API for Python Landing page
    Landing page //
    2023-05-22

Qlik features and specs

  • Data Integration
    Qlik offers powerful data integration capabilities, allowing users to pull in data from multiple sources, clean it, and prepare it for analysis. This is particularly useful for organizations dealing with diverse datasets.
  • Associative Data Engine
    Qlik's unique associative data engine enables users to explore data freely, without the limitations of traditional hierarchical or query-based models. This feature ensures that all data relationships are maintained and accessible.
  • Interactive Visualizations
    Qlik provides highly interactive and customizable visualizations, making it easier for users to derive insights and share findings. The visualizations are intuitive and can be tailored to meet specific business needs.
  • AI Capabilities
    The platform includes AI-driven features like Insight Advisor, which helps users uncover insights and generate analytics automatically. This reduces the learning curve and makes advanced analytics more accessible.
  • Scalability
    Qlik is designed to scale from small teams to large enterprises. It supports both on-premises and cloud deployments, making it flexible to meet various business sizes and infrastructure preferences.

Possible disadvantages of Qlik

  • Complexity in Initial Setup
    The initial setup and configuration of Qlik can be complex and time-consuming, often requiring specialized knowledge or professional services to get started effectively.
  • Cost
    Qlik can be expensive, especially for smaller businesses. The cost includes not just licensing fees but also potential expenditures on training, deployment, and maintenance.
  • Learning Curve
    Although Qlik offers a powerful feature set, there is a steep learning curve for new users. Mastering the platform's full capabilities can take significant time and effort.
  • Performance Issues
    In some instances, users have reported performance issues, particularly when dealing with extremely large datasets or complex queries, which can hinder real-time analysis.
  • Limited Third-Party Integration
    While Qlik does support integration with various third-party tools, it may not be as extensive as some other analytics platforms. This can limit its usefulness in a highly diversified technology stack.

ArcGIS API for Python features and specs

No features have been listed yet.

Qlik videos

A Day in the life of a Qlik Cloud User

More videos:

  • Demo - Qlik Sense Product Tour

ArcGIS API for Python videos

Introduction to the ArcGIS API for Python

More videos:

  • Review - ArcGIS API for Python: Getting to Know Pandas and the Spatial Enabled DataFrame
  • Review - ArcGIS API for Python: Mapping, Visualization, and Analysis

Category Popularity

0-100% (relative to Qlik and ArcGIS API for Python)
Data Dashboard
100 100%
0% 0
Web Frameworks
0 0%
100% 100
Business Intelligence
100 100%
0% 0
Python Web Framework
0 0%
100% 100

User comments

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Reviews

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

Qlik Reviews

10 Best Alternatives to Looker in 2024
Qlik: Qlik sets itself apart with its associative analytics engine, enabling users to uncover trends and patterns through intuitive exploration without predefined queries. This offers a more flexible and dynamic analytical process.
Top 11 Fivetran Alternatives for 2024
Qlik provides three data integration products - Stitch (covered under Stitch) Talend Data Fabric (covered under Talend) and Qlik Replicate, which was originally Attunity. Qlik Replicate has both on-premises and cloud replication deployment options for streaming real-time data.
Source: estuary.dev
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...
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...

ArcGIS API for Python Reviews

We have no reviews of ArcGIS API for Python yet.
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Social recommendations and mentions

Based on our record, ArcGIS API for Python should be more popular than Qlik. It has been mentiond 6 times since March 2021. 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 4 years ago

ArcGIS API for Python mentions (6)

  • GeoTab and ArcGIS Online Intergration
    If it were me, I'd start with Geotab's developer api for programmatically tapping into the feeds of near real time vehicle movement, combined with ESRI's python api for creating and updating feature services on Arconline. I bet you could get near real time if you run the updates fairly frequently, like maybe once or twice a minute, depending on your needs. Source: almost 2 years ago
  • ArcGIS / ArcMap on Linux with Bottles?
    If you are used to Python and Jupyter Notebooks, you should definately get your hands dirty with https://developers.arcgis.com/python/. Source: about 2 years ago
  • Exporting private feature service from AGOL
    Have you looked at ArcGIS API for Python? It's not the same as arcpy, but used more for working with Esri's portals. Source: about 2 years ago
  • Any GIS developers here?
    We are very heavy into using the ESRI suite of tools and which languages I use depend heavily on the project I am working on. I would say I mostly use Python, but mainly with the ArGIS API for Python, not arcpy. I do use quite a bit of javascript to develop UIs for widgets as well, but that is not anywhere near as common. Source: almost 3 years ago
  • Python courses - best one for GIS?
    Once you have your foundation, then https://developers.arcgis.com/python/ and https://developers.arcgis.com/documentation/arcgis-add-ins-and-automation/arcpy/ become much easier to understand. Also be aware that you can run Geoprocessing Tools in ArcGIS Desktop and in the Geoprocessing History, copy out the Python snippets to add to your code and automate. Source: almost 3 years ago
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What are some alternatives?

When comparing Qlik and ArcGIS API for Python, 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.

Django - The Web framework for perfectionists with deadlines

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.

CherryPy - CherryPy allows developers to build web applications in much the same way they would build any other object-oriented Python program.

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

Pyramid Web Framework - Pyramid is an open source web framework written in Python and is based on WSGI.