Google AI Platform vs GraphLab Create
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful. | Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively. |
Analyze terabyte scale data at interactive speeds, on your desktop.;A Single platform for tabular data, graphs, text, and images.;State of the art machine learning algorithms including deep learning, boosted trees, and factorization machines.;Run the same code on your laptop or in a distributed system, using a Hadoop Yarn or EC2 cluster.;Focus on tasks or machine learning with the flexible API.;Easily deploy data products in the cloud using Predictive Services.;Visualize data for exploration and production monitoring. | “No lock-in” flexibility;
Supports Kubeflow;
Supports TensorFlow;
Supports TPUs;
Build portable ML pipelines;
on-premises or on Google Cloud;
TFX tools |
Statistics | |
Stacks 8 | Stacks 49 |
Followers 40 | Followers 119 |
Votes 3 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
| No integrations available | |
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