DataScience.com was a data science collaboration platform with features that cater to data science, business, and IT teams. It was acquired by Oracle in 2018 and is no longer available.
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KNIME Analytics Platform
Score 7.8 out of 10
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KNIME enables users to analyze, upskill, and scale data science without any coding. The platform that lets users blend, transform, model and visualize data, deploy and monitor analytical models, and share insights organization-wide with data apps and services.
$0
Pricing
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KNIME Analytics Platform
Editions & Modules
No answers on this topic
KNIME Community Hub Personal Plan
$0
KNIME Analytics Platform
$0
KNIME Community Hub Team Plan
€99
per month 3 users
KNIME Business Hub
From €35,000
per year
Offerings
Pricing Offerings
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KNIME Analytics Platform
Free Trial
No
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
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KNIME Analytics Platform
Features
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KNIME Analytics Platform
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
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Ratings
KNIME Analytics Platform
9.2
Ratings
10% above category average
Connect to Multiple Data Sources
00 Ratings
9.60 Ratings
Extend Existing Data Sources
00 Ratings
10.00 Ratings
Automatic Data Format Detection
00 Ratings
9.10 Ratings
MDM Integration
00 Ratings
7.90 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
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Ratings
KNIME Analytics Platform
8.1
Ratings
3% below category average
Visualization
00 Ratings
8.00 Ratings
Interactive Data Analysis
00 Ratings
8.10 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
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Ratings
KNIME Analytics Platform
8.3
Ratings
2% above category average
Interactive Data Cleaning and Enrichment
00 Ratings
9.00 Ratings
Data Transformations
00 Ratings
9.50 Ratings
Data Encryption
00 Ratings
7.40 Ratings
Built-in Processors
00 Ratings
7.40 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
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Ratings
KNIME Analytics Platform
8.0
Ratings
5% below category average
Multiple Model Development Languages and Tools
00 Ratings
9.50 Ratings
Automated Machine Learning
00 Ratings
8.20 Ratings
Single platform for multiple model development
00 Ratings
9.30 Ratings
Self-Service Model Delivery
00 Ratings
5.00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
KNIME Analytics Platform has vastly improved our effectiveness when working with large data sets. The self documenting GUI allows analysts to focus on what they are trying to accomplish, not complex code syntax. If we were to use traditional tools, like SQL, work would take much longer and it would be more difficult to collaborate both internally and with clients. Since KNIME Analytics Platform is database oriented, some spreadsheet functions are not supported, which is as it should be. For small data sets we often use Excel vlookup and pivot tables in place of KNIME Analytics Platform. If VBA code is requried, we go to KNIME Analytics Platform as we find VBA to be unstable in Excel.
Visual programming as oppose to scripting encourages data analysts to reap deeper insights from their data
Large community contribution in extending the KNIME Analytics Platform into other areas of analytics, e.g. Text Analytics, Predictive Analytics, ML, etc.
Open source with periodic updates ensures it is equipped to deal with the most sophisticated data analytics use case
Automation - e.g. RapidMiner Studio provides a Turbo Prep function, where one can get to working on models more quickly (RapidMiner is not open source though)
KNIME does not replace a regular reporting tool - it is not meant to. However, if I have already spent some time developing a data acquisition and analytical model, it would be nice to be able to deploy, for example, a monitoring or reporting module that would process data autonomously and react accordingly.
We are happy with Knime product and their support. Knime AP is versatile product and even can execute Python scripts if needed. It also supports R execution as well; however, it is not being used at our end
The training KNIME Analytics Platform provide helps you get to grips with a product that is already very intuitive. There is a KNIME Analytics Platform way of thinking about addressing problems, but once you understand a couple of patterns which you see again and again in your workflow it all makes sense.
KNIME's HQ is in Europe, which makes it hard for US companies to get customer service in time and on time. Their customer service also takes on average 1 to 2 weeks to follow up with your request. KNIME's documentation is also helpful but it does not provide you all the answers you need some of the time.
KNIME Analytics Platform is easy to install on any Windows, Mac or Linux machine. The KNIME Server product that is currently being replaced by the KNIME Business Hub comes as multiple layers of software and it took us some time to set up the system right for stability. This was made harder by KNIME staff's deeper expertise in setting up the Server in Linux rather than Windows environment. The KNIME Business Hub promises to have a simpler architecture, although currently there is no visibility of a Windows version of the product.
There are two aspects which put KNIME Analytics Platform ahead of other products. Firstly the fact that KNIME Analytics Platform comes at no cost and no restrictions on its use is an instant winner for any organisation wanting to democratise their data. It means that a client is free to install it on as many machines as they wish without worrying about costs, the number of seats required or payment models or procurement negotiation. It also means that we are not building costs into our clients business. Secondly, KNIME Analytics Platform has a very comprehensive set of tools for importing/exporting data, data manipulation and data science. Some products offer analytics packages on top of their base offering at additional cost and they are still not as comprehensive as what you get with KNIME Analytics Platform for free. For some types of analysis you may require to download additional packages with KNIME Analytics Platform, but its invariably at no cost, those packages are kept out of the main download to keep the size down. Due to the easy integration with R and Python, I view KNIME Analytics Platform as also having the capabilities of those languages too. This has helped me in the past with seamlessly importing a rare filetype and using very specific models not directly available in KNIME Analytics Platform.
It is suited for data mining or machine learning work but If we're looking for advanced stat methods such as mixed effects linear/logistics models, that needs to be run through an R node.
Thinking of our peers with an advanced visualization techniques requirement, it is a lagging product.
