Centralize Data for Consistency & Easily Access with Any Tool
Simplify every part of your data science platform and pipeline with Cazena. Get end-to-end capabilities out of the box and use your favorite tools such as RStudio, DataRobot, H20.ai, Anaconda, Jupyter (Lab and Hub), Dataiku, KNIME, Alteryx and most others. Easily use R, Python, Java, etc. with Spark, Hadoop and other cloud data engines. It’s easy to add new tools to Cazena as you grow.
Collect & Store ANY Data Types
Collect, stream, organize and store any dataset, from social media to IOT/sensor logs or even real-time streams. Cazena’s Instant AWS Data Lake makes it easy to collect, store and manage data in the cloud in clicks, no special skills required. No more waiting for pre-processing or negotiating for access or infrastructure. Cazena is a scalable data science platform for any dataset, even secure or regulated data. Everything is enterprise-grade, with gold-standard security and compliance certifications.
Cloud Flexibility, Power and Efficiency
Cazena makes it easy to get the benefits of the cloud: a powerful distributed processing environment, global access and unlimited scale. Using Cazena as a centralized data science platform also helps teams stay consistent and efficient. Be confident with common datasets and tool versions, improve collaboration and work securely from different locations.
“Cazena saves us time and accelerates results. With Cazena, you can support everything like R, Python and distributed open-source systems like Spark, in one easy environment.”
Teams like using Cazena as a data science platform because we support many different methods and languages. Cazena gives you more power, flexibility and scalability. This demo is a hands-on walkthrough of using Jupyter with Cazena via our free “Try it Now” experience. You’ll mostly see Jupyter. Behind the scenes is Cazena’s powerful cloud data platform, making the Jupyter experience seamless and secure. Watch now and then Try it yourself!