Cloud compute optimization
Optimise and manage your compute resources - spin up memory on demand and allocate at a granular code block level.
Zerve's platform removes development barriers - analyse better and execute faster
Cloud compute optimization
Optimise and manage your compute resources - spin up memory on demand and allocate at a granular code block level.
Notebook import
Drag and drop or import any notebook into Zerve. Zerve will parse the notebook by mapping the dependencies through the AST’s in the notebook, automatically identifying any opportunities to parallelize the notebook.
Language interoperability
Connect Python, R, & SQL code blocks seamlessly, true language interoperability.
Parallel processing
Run multiple code blocks in parallel with zerve - Zerve’s multi-kernel architecture enables unlimited parallelization.
A new center of gravity for productivity and collaboration. Zerve keeps everyone in your organization aligned and working without friction.
Comment, share & review
All the standard “collaborative” features you expect to see but with a difference - Zerve’s underlying stability
Organizational assets
Share organizationally saved snippets of code, whether that be a function, query, constant or connection, all of which can be shared, saved and re-used across canvases
Organization controls
Providing complete oversight and flexibility with built in user access controls as well as standard and custom roles and permissions
Version control
Seamlessly connect Zerve to your GitHub to handle all code versioning
Dependancy management
Dependency management is made simple with Zerve requirements, with a library of pre-built packages already installed, users can add additional packages, define versions and also add custom requirements
Zerve allows you to deploy, manage and scale with enterprise-grade security built in.
Self-hosting
Ensure the data never leaves your own domain by connecting Zerve to your AWS, Azure or GCP instance.
Deployment
Seamlessly deploy directly from within Zerve or export via docker in to your own production pipelines.
Seamless handover
With Zerve, data engineers no longer have to spend time recoding a data scientist's work for production. Zerve makes it easy to handover to a data engineer in the format they need.
Automate
Automate your production workflows with scheduled jobs, triggered jobs and CI/CD
Zerve’s stable development layer means there’s no need to recode your analysis or change environments. With Zerve’s architecture and GitHub integration, your experimentation and analysis can be safely utilized for deployment.
Data Science
Announcing Zerve's new and improved language interoperability capabilities with R
Data Teams
Zerve's mission to increase the impact of Data Scientists
AI
The Intel Ignite Experience at Zerve
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