OverviewSuggest Edit

KNIME Analytics Platform is the open solution for data-driven innovation, designed for discovering the potential hidden in data, mining for fresh insights, or predicting new futures. Organizations can take their collaboration, productivity and performance to the next level with a robust range of commercial extensions using KNIME open source platform. Data scientists can work with KNIME platform on every kind of data: from numbers to images, molecules to humans, signals to complex networks, and simple statistics to big data analytics.

TypePrivate
Founded2008
HQZürich, CH
Websiteknime.com

Latest Updates

Employees (est.) (Oct 2020)116(+3%)
Cybersecurity ratingCMore

KNIME Office Locations

KNIME has offices in Zürich, Austin, Berlin and Konstanz
Zürich, CH (HQ)
Hardturmstrasse 66
Zürich, CH
1 Technoparkstrasse
Berlin, DE
Körtestraße 10
Konstanz, DE
Gerichtsgasse 11
Austin, US
11801 Domain Blvd 3rd floor
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KNIME Financials and Metrics

Summary Metrics

Founding Date

2008

KNIME total Funding

$21.3 m

KNIME latest funding size

$21.28 m

Time since last funding

4 years ago

KNIME investors

KNIME's latest funding round in March 2017 was reported to be $21.3 m. In total, KNIME has raised $21.3 m
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KNIME Cybersecurity Score

Cybersecurity ratingPremium dataset

C

76/100

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KNIME Online and Social Media Presence

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KNIME Blogs

Text Mining Use Cases plus Deep-Dive into Techniques

Text Mining Use Cases plus Deep-Dive into Techniques Redfield Thu, 09/10/2020 - 10:00 Text mining is an efficient data analysis technique to use if you need to not only get a quick sense of the content of specialized documents, but also understand key terms and topics, and reveal hidden rel…

KNIME on Amazon EMR - Guide

KNIME on Amazon EMR - Guide andisa.dewi Mon, 09/07/2020 - 10:00 Use this short guide to find out how to use KNIME Analytics Platform together with Amazon Elastic MapReduce. Learn how to connect to Amazon EMR and experiment using a real workflow. The example workflow demonstrates how to crea…

Integrated Deployment Blog Series - Episode 3: Automated Machine Learning

Integrated Deployment Blog Series - Episode 3: Automated Machine Learning paolotamag Mon, 08/31/2020 - 10:00 Welcome to the Integrated Deployment Blog Series, a series of articles focusing on solving the challenges around productionizing data science. In the past two episodes we …

Guided Labeling Blog Series - Episode 8: Combining Active Learning with Weak Supervision

Guided Labeling Blog Series - Episode 8: Combining Active Learning with Weak Supervision paolotamag Mon, 08/24/2020 - 10:00 Welcome to the final episode of our series of articles about Guided Labeling! Today: can active learning and weak supervision be combined? During this series…

Will They Blend? Google BigQuery meets Databricks

Will They Blend? Google BigQuery meets Databricks emilio_s Mon, 08/17/2020 - 10:00 Today: Google BigQuery public data meets Databricks. Shall I rent a bike in this weather? The Challenge “Life is like riding a bicycle. To keep your balance you must keep moving.” Despite its misu…

Guided Labeling Blog Series - Episode 7: Weak Supervision Deployed via Guided Analytics

Guided Labeling Blog Series - Episode 7: Weak Supervision Deployed via Guided Analytics paolotamag Mon, 08/10/2020 - 10:00 Welcome to the seventh episode of our series of Guided Labeling Blog Posts1 by Paolo Tamagnini and Adrian Nembach (KNIME). In the previous episodes we have covere…
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KNIME Frequently Asked Questions

  • When was KNIME founded?

    KNIME was founded in 2008.

  • How many employees does KNIME have?

    KNIME has 116 employees.

  • Who are KNIME competitors?

    Competitors of KNIME include Panaseer, Center for Open Science and npm.

  • Where is KNIME headquarters?

    KNIME headquarters is located at Hardturmstrasse 66, Zürich.

  • Where are KNIME offices?

    KNIME has offices in Zürich, Austin, Berlin and Konstanz.

  • How many offices does KNIME have?

    KNIME has 5 offices.