Architecture
The foundational change in Data Science & AI EngineeringUnlike any tool
you’ve used before
Persistent Results, Always. Merging the best of a notebook and an IDE into one integrated coding environment, experts can explore their data and write stable code at the same time with fully automated cloud infrastructure.
Language Interoperability
Zerve offers true language interoperability, meaning that as well as being able to use Python, R, SQL or Markdown all in the same canvas, users can connect these code blocks to each other.
Parallelization
No more long running code blocks or containers, with Zerve enjoy unlimited parallelization at any stage of the development journey
Always In Sync
Analysis artifacts are automatically serialized, versioned, stored, and preserved for later use, meaning easily change a step in the data flow without needing to rerun any preceding steps
Compute Optimization
Fine-grained selection of compute resources – extra memory for complex data transformation spun up on demand only when needed.
Not everything is as it seems; sometimes, it's more
Zerve’s underlying architecture means that data science and ML teams can truly collaborate. Not just collaborative features, but with a distinct difference - stability [patent-pending]
Data experts take on Zerve
Switch gears, not context
Zerve provides a unified platform that handles the whole data science and AI project journey, from EDA to deployment
Parallel Processing
Compute Optimization
Notebook Import
Language Interoperability
Dependency Management
Version Control
Organizational Assets
Org Controls
Where ideas come to life, and stay alive
Seamlessly deploy with Zerve. Whatever your workflow, Zerve makes it easy to productionize your work.Integrate with your stack
Zerve is designed to integrate with your existing data stack. Connect through code or use one of our pre-built integrations.
Code sync & Version controls
Self-host in your own cloud
Seamless data exchange with database connections
Independent deployment
Data Teams
The Journey to Unearthing the Pain Points in Data Science Development
Zerve's mission to increase the impact of Data Scientists
Engineering
Announcing Zerve - The Next Generation Data Science Development Environment
Release of Zerve v0.1 Data Science Development Environment
Engineering
The Evolution of Data Science Environments: From Jupyter to the Future
An analysis of the history of notebooks, how they entered into the corporate world and a look to the future
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