KNIME

Data Science Platforms

Get Free Demo

Pricing
Industries
Features
Reviews
Gallery
Platform

Price On Request

Get Best Price

Starting at

$ 99 /Month

Get Best Price

All industries

Education
ITES
Financial Institutions
Governments
Universities

Machine Learning
Data Analysis
SQL Database
Storage
Managed Infrastructure

View all Apache Spark features

Data Recovery
Access Controls
Advanced Search Module
Inventory Optimization
Data Connectors

View all KNIME features

Have you used Apache Spark before?
Write a Review

Have you used KNIME before?
Write a Review

View Images/Videos

Have you used Apache Spark before?
Write a Review

Have you used KNIME before?
Write a Review

Deployment

Web Based
On Premises

Device Supported

Desktop
Mobile
Tablet
iPad

Operating System

Ubuntu
Windows
iOS
Android
Mac OS
Windows(Phone)
Linux

Deployment

Web Based
On Premises

Device Supported

Desktop
Mobile
Tablet
iPad

Operating System

Ubuntu
Windows
iOS
Android
Mac OS
Windows(Phone)
Linux

A Quick Comparison Between Apache Spark and KNIME

Let’s have a detailed comparison of Apache Spark vs KNIME to find out which one is better. Let’s discover some of the essential factors that you must consider and decide whether Apache Spark or KNIME fits your business.

Comparison of Apache Spark vs KNIME In terms of Features

Apache Spark includes features like Machine Learning, Data Analysis, SQL Database and Storage. KNIME is known for functionalities like Data Recovery, Access Controls, Advanced Search Module and Inventory Optimization. When you compare Apache Spark vs KNIME, look for scalability, customization, ease of use, customer support and other key factors. The one which suits your business needs is the best.

Comparison Between Apache Spark and KNIME In terms of Deployment Type

While Apache Spark supports Web Based deployment; KNIME is suitable for Web Based and On Premises deployment. While selecting between Apache Spark and KNIME, figure out which one of the two is compatible with your devices. This will help in reducing the hassle after implementation.

Apache Spark or KNIME: Which Is Ideal for Your Industry

Apache Spark is ideal for industries like All Industries. For Education, ITES and Financial Institutions, KNIME is a better choice. If you are confused between Apache Spark or KNIME, you can also check if the software has customizable modules for your industry. Industry-specific functionalities will ensure higher efficiency and ROI. However, do check for the hidden price, is any.

Which Is Better? - Apache Spark or KNIME

Apache Spark and KNIME can be used for different purposes and are well-suited for teams with specific needs. If you are looking for a platform that is easy to use, has low barriers to entry, and offers a lot of customization, flexibility, and integration options, then you must compare their specifications in detail at the time of demo. Compare Apache Spark and KNIME during demo to decide which one is best for your business.

FAQs

Is Apache Spark better than KNIME?

While Apache Spark offers customized features, KNIME has diverse modules. Select between Apache Spark or KNIME as per your business needs.

Are Apache Spark and KNIME same?

Both these products offer similar features but with a different approach. While Apache Spark emphasizes on user experiences, KNIME focuses on functionalities.

Which is better Apache Spark or KNIME?

It all depends on the functionalities that you prefer. While Apache Spark offers add-ons along with essential features, KNIME emphasizes on customization.

Is Apache Spark the same as KNIME?

No, the difference between Apache Spark and KNIME lies in terms of features and functionalities. While Apache Spark can be customized as per the user’s needs, KNIME addresses the diverse audience.

Can Apache Spark replace KNIME?

It depends upon your business requirement. Both Apache Spark and KNIME provides standard features to cater diverse industry needs.

What is the difference between Apache Spark and KNIME?

The difference lies in terms of the user interface and functionalities. While Apache Spark is customizable, Apache Spark offers comprehensive modules.