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KNIME Offers Large-Scale Data Manipulation for Complex Data Streams
May 02, 2021

KNIME Offers Large-Scale Data Manipulation for Complex Data Streams

Spencer Baselice | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with KNIME Analytics Platform

I use Knime to crunch large sets of data for marketing purposes. We take data from Google, our search console data, ahrefs, and other marketing platforms, manipulate it and then create reports and perform tasks. Recently, we did a site migration in which I used Knime to redirect all our backlinks a large task including more than 2 million data lines.
  • Large data set processing
  • Data manipulation
  • Server based execution
  • Manages multiple users/workflows
  • Data management
  • Simple tasks can take a long time.
  • Issues with data imports and merging multiple files.
  • Data manipulation
  • Knime server
  • New remote file access/listing nodes
  • Helped manage a very large task in a seamless way, quantification is unavailable at this time.
  • Allowed us to migrate and maintain our link equity.
  • Data manipulation and other implementations
Knime is a more flexible option in some ways, allowing for more data manipulation if you can find the right node. It is not as scaleable in some cases, and some tasks are just easier and faster on SQL databases. It does not build charts or reports as easily as a Tableau and would not be useful if your main goal is creating reports. But merging and altering your data is the choice for many businesses and small departments within organizations that need to work with very large streams of data.

Do you think KNIME Analytics Platform delivers good value for the price?

Yes

Are you happy with KNIME Analytics Platform's feature set?

Yes

Did KNIME Analytics Platform live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of KNIME Analytics Platform go as expected?

Yes

Would you buy KNIME Analytics Platform again?

Yes

Knime is perfect when you have a large data set that needs some manipulation, or you have a task involving multiple data sets that you are going to repeat again and again. It's a real time-saver in these cases. It is also ideal for work-sharing since there is a Knime Server available. It is not as good when you need some simple processing or manipulation of data. In some cases, you can spend hours building a workflow only to find simple issues that are blockers. When doing manipulation over large data sets that is a single step or a few steps, SQL or Python or another programming language is better suited.

KNIME Analytics Platform Feature Ratings

6.7
Connect to Multiple Data Sources
7
Extend Existing Data Sources
7
Automatic Data Format Detection
6
MDM Integration
Not Rated
5.0
Visualization
5
Interactive Data Analysis
5
7.5
Interactive Data Cleaning and Enrichment
7
Data Transformations
8
Data Encryption
Not Rated
Built-in Processors
Not Rated
4.0
Multiple Model Development Languages and Tools
Not Rated
Automated Machine Learning
Not Rated
Single platform for multiple model development
4
Self-Service Model Delivery
4
Not Rated
Flexible Model Publishing Options
Not Rated
Security, Governance, and Cost Controls
Not Rated

Using KNIME Analytics Platform

10000 - All functions across the entire business.
  • Data Manipulation
  • Data