Qlik Sense
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Multiple Scripting Languages
- Open-Source JAVA Packages
- Statistical, & Numeric Computation
- Scientific & Symbolic Calculation
- Data Analysis
- Data Mining
- Data Visualization
- Multi-Platform
- Portable Application
- Feature-Rich IDE
- JAVA Applets
Pricing Info
Pricing Info
DataMelt is a free and open-source software environment. This means you can use it for free without worrying about any enterprise pricing plan fees.
Meanwhile, if you’re going to use the software environment for commercial purposes, you need to pay for a one-time membership fee of $20 and abide by the restrictions and conditions specified under the Creative-Commons License.
Once you become a member of the DataMelt project, you can get a commercial usage license as well as access DataMelt’s full documentation, source code and script repositories, help system, and other important files and resources.
Integrations
Integrations
DataMelt integrates with many open-source JAVA packages and works with the following scripting languages:
- Python
- Groovy
- JRuby
- Groovy,
- BeanShell
- Matlab/Octave
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
A multi-platform data analytics software that works with different programming languages and integrates open-source JAVA packages.
Company Email
Company's Address
jWork.ORG
Chicago
USA
DataMelt Comparisons
Popular DataMelt Alternatives
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Drag-and-drop visualizations
- Smart Search feature
- Fast and reliable connections to multiple data sources
- Access to real-time analytics anytime, anywhere
- Data storytelling functionality
- Self-service simplicity
- Shared Object Library
- Progressive Creation
- Managed Data Connections
- Rapid Development Environment
- Powerful Open and Standard APIs
- Multi-source data integration including big data
- Manageability
- Enterprise-level security
- Scalability
Pricing Info
Contact Qlik Sense directly to discuss pricing details and get a quote.
Integrations
Qlik is source agnostic and can integrate with virtually any data source.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Fila, Cisco, McAfee, Canon, Qualcomm
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
A smart and user-friendly analytics tools that can generate personalized reports and very detailed dashboards in an instant.
Company Email
Contact No.
Company's Address
150 North Radnor Chester Road, Suite E-120, Wayne, PA 19087, United States
Qlik Sense Comparisons
Popular Qlik Sense Alternatives
Almost as important as functionalities and user support level are pricing options given by DataMelt and Qlik Sense. Even though price should not be a deciding element it’s without a doubt an important thing to think about. You should try to find a flexible pricing plan that can be adjusted to your team size and easily scaled up if your team grows. You should be certain you don’t select packages that have complex features that you won’t find a use for and always make an effort to contact with the vendor directly because enterprises can often count on discounts. You should also try out a free trial or demo of every service to spend at least some time on actual work with the system. It’s a valuable experience that doesn’t require you to invest any money and gives you a practical overview of what it feels like to work with DataMelt and Qlik Sense.
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