ArchitectureThe foundational change in Data Science & AI Engineering
Zerve’s architecture merges the capabilities of notebooks and IDE’s into one integrated coding environment with fully automated cloud infrastructure
Exploration & Stability
Notebooks are built for data exploration, not deployment. IDE’s are stable but are not built for data exploration.
Zerve’s architecture enables data science and ML teams to interactively explore data in an environment guaranteed to produce the same output every time, meaning production grade exploration and stability - the best of notebooks and IDE’s in one.
Collaboration, but different
Simultaneously write and run code, comment, review changes and more.
Zerve’s underlying stable architectural foundation allows users to follow collaborators, experience paired programming, and learn from each other all in the same environment. Language interoperability enables statisticians, data scientists, and data engineers to do their work in the same place and even at the same time.
Unify, Store & Scale
- True language interoperability between python, R, and SQL.
- Independent storage. Analysis artifacts are automatically serialized, versioned, stored, and preserved for later use.
- Serverless compute provides unlimited parallelization and fine-grained selection of compute resources – e.g. extra memory for complex data transformation spun up on demand only when needed.
The Stable FoundationThrough decoupling compute and storage, data science, ML and analytic teams can experience an interactive, production stable coding environment
Use serverless compute and persistent results by default
Reference any result at any point in the development cycle
Use the right compute for the job. No need to over-provision
Collaboration on data industry benchmark report
Zerve’s underlying architecture represents a step-change for stable Data Science & AI Development.
Former EVP of Engineering, Data Robot
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
The Journey to Unearthing the Pain Points in Data Science Development
Zerve's mission to increase the impact of Data Scientists
Announcing Zerve - The Next Generation Data Science Development Environment
Release of Zerve v0.1 Data Science Development Environment
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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