Data Analytics

Data analytics expert KNIME Announces Integration With Anaconda

KNIME Data Experts Can Now Leverage Anaconda for Building and Deploying Reliable Data Apps and Services

KNIME AG, a data analytics platform company, today announced a new integration with Anaconda, Inc. to provide enterprise customers best-of-class options for managing secure Python dependencies within KNIME workflows across their corporate development, testing and production data science environments.

KNIME is an end-to-end platform that was built for data science as a collaborative discipline, enabling each team member to best contribute his or her expertise and to focus on what’s important. Each data or domain expert can work however they choose — all code, low code or no code — while still collaborating in a single intuitive environment and integrating the most advanced techniques in the industry. With the new ability to use Anaconda with KNIME, enterprise teams can take advantage of Anaconda’s additional enterprise benefits of a secure repository (through the procurement of a separate license), making KNIME workflows more securely deployed into production-ready data apps and API services.

The Anaconda integration and partnership is the next step for KNIME in a series of developments focused on strengthening the relationship between a no-code and a scripted approach to data science. KNIME takes a distinct open and integrative approach to ensure that every data expert can best utilize the tools they know and love, without compromising the collaboration that’s necessary for fully productionized data science solutions.

Current KNIME and Anaconda commercial customers can take advantage of KNIME’s integration with Anaconda’s tools through the Python Extension for KNIME and licensing Anaconda Commercial Edition® or Anaconda Team Edition®. Existing KNIME customers who are interested in learning more about the advantages of using KNIME with Anaconda’s repository should reach out to their contact at KNIME or email sales@knime.com.

For more such updates and perspectives around Digital Innovation, IoT, Data Infrastructure, AI & Cybersecurity, go to AI-Techpark.com.

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