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Memcached: Integrating into a Jupyter workflow
Memcached is a distributed key-value store built to solve common problems facing large data caches. Teams that use Jupyter for feature-rich collaborations need access to Memcached and other datasources. strongDM simplifies access, making it easy for Jupyter users to connect to Memcached and the rest of your digital environment.
Connect Memcached and Jupyter14-day free trial, no credit card required.
Memcached 🤝 Jupyter
To set up one-click access to Memcached and start integrating it into your Jupyter workflow, sign up for a free trial account on strongDM, then visit Add Memcached linked below.
strongDM supports FastoNoSQL and other Memcached monitoring tools. Any client capable of connecting to Memcached will work with strongDM.
Jupyter Notebook is a tool built for collaboration. Teams use Jupyter to share live code, explanatory text, multimedia visualizations, and more within the context of a web page.
