FAQ
vs. Notebooks
Product |
Role |
Value |
---|---|---|
Apache Zeppelin, Jupyter Notebook |
Notebook-style document + code frontends |
Familiarity from data scientists and researchers, but hard to avoid insecure host resource sharing |
Backend.AI |
Pluggable backend to any frontends |
Built for multi-tenancy: scalable and better isolation |
vs. Orchestration Frameworks
Product |
Target |
Value |
---|---|---|
Amazon ECS, Kubernetes |
Long-running interactive services |
Load balancing, fault tolerance, incremental deployment |
Amazon Lambda, Azure Functions |
Stateless light-weight, short-lived functions |
Serverless, zero-management |
Backend.AI |
Stateful batch computations mixed with interactive applications |
Low-cost high-density computation, maximization of hardware potentials |
vs. Big-data and AI Frameworks
Product |
Role |
Value |
---|---|---|
TensorFlow, Apache Spark, Apache Hive |
Computation runtime |
Difficult to install, configure, and operate at scale |
Amazon ML, Azure ML, GCP ML |
Managed MLaaS |
Highly scalable but dependent on each platform, still requires system engineering backgrounds |
Backend.AI |
Host of computation runtimes |
Pre-configured, versioned, reproducible, customizable (open-source) |
(All product names and trade-marks are the properties of their respective owners.)