Need advice about which tool to choose?Ask the StackShare community!
Add tool
Amazon SageMaker vs Firebase Predictions: What are the differences?
What is Amazon SageMaker? Accelerated Machine Learning. A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
What is Firebase Predictions? Define dynamic user groups based on predicted behavior. Firebase Predictions uses the power of Google’s machine learning to create dynamic user groups based on users’ predicted behavior.
Amazon SageMaker and Firebase Predictions can be primarily classified as "Machine Learning as a Service" tools.
Some of the features offered by Amazon SageMaker are:
- Build: managed notebooks for authoring models, built-in high-performance algorithms, broad framework support
- Train: one-click training, authentic model tuning
- Deploy: one-click deployment, automatic A/B testing, fully-managed hosting with auto-scaling
On the other hand, Firebase Predictions provides the following key features:
- Boost revenue and retention through customized user experiences
- Send smarter notifications
- Create custom predictions
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn MoreWhat is Amazon SageMaker?
A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
What is Firebase Predictions?
Firebase Predictions uses the power of Google’s machine learning to create dynamic user groups based on users’ predicted behavior.
Need advice about which tool to choose?Ask the StackShare community!
Jobs that mention Amazon SageMaker and Firebase Predictions as a desired skillset
What companies use Amazon SageMaker?
What companies use Firebase Predictions?
What companies use Amazon SageMaker?
What companies use Firebase Predictions?
See which teams inside your own company are using Amazon SageMaker or Firebase Predictions.
Sign up for StackShare EnterpriseLearn MoreSign up to get full access to all the companiesMake informed product decisions
What tools integrate with Amazon SageMaker?
What tools integrate with Firebase Predictions?
What tools integrate with Amazon SageMaker?
What tools integrate with Firebase Predictions?
Sign up to get full access to all the tool integrationsMake informed product decisions
What are some alternatives to Amazon SageMaker and Firebase Predictions?
Amazon Machine Learning
This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.
Databricks
Databricks Unified Analytics Platform, from the original creators of Apache Spark™, unifies data science and engineering across the Machine Learning lifecycle from data preparation to experimentation and deployment of ML applications.
Azure Machine Learning
Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
Kubeflow
The Kubeflow project is dedicated to making Machine Learning on Kubernetes easy, portable and scalable by providing a straightforward way for spinning up best of breed OSS solutions.
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.