Predibase vs. Ray Comparison


Predibase	Ray Anyscale	+	+
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About Declarative machine learning systems provide the best of flexibility and simplicity to enable the fastest-way to operationalize state-of-the-art models. Users focus on specifying the “what”, and the system figures out the “how”. Start with smart defaults, but iterate on parameters as much as you’d like down to the level of code. Our team pioneered declarative machine learning systems in industry, with Ludwig at Uber and Overton at Apple. Choose from our menu of prebuilt data connectors that support your databases, data warehouses, lakehouses, and object storage. Train state-of-the-art deep learning models without the pain of managing infrastructure. Automated Machine Learning that strikes the balance of flexibility and control, all in a declarative fashion. With a declarative approach, finally train and deploy models as quickly as you want.	About Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Declarative Machine Learning platform for organizations	Audience ML and AI Engineers, Software Developers
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Pay-as-you-go pricing Free Version Not Supported Free Trial Supported	Pricing Free Open source. Consumption-based. Free Version Supported Free Trial Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Supported
Company Information Predibase United States predibase.com	Company Information Anyscale Founded: 2019 United States ray.io
Alternatives Amazon SageMaker Amazon	Alternatives Anyscale
Runpod	Horovod
Gemini Enterprise Agent Platform Google	Determined AI
Azure Machine Learning Microsoft	Neuralhub
TensorFlow View All	Automaton AI View All
Categories AI Development Supported AI Fine-Tuning Supported AI Infrastructure Supported Machine Learning Supported ML Model Deployment Supported	Categories Deep Learning Supported Machine Learning Supported ML Model Deployment Supported

Integrations Python Supported Snowflake Supported Amazon Redshift Supported Amazon SageMaker Not Supported Amazon Web Services (AWS) Not Supported Apache Airflow Not Supported Apache Hive Supported Dask Not Supported Flyte Not Supported Google Cloud Platform Not Supported Kubernetes Not Supported LanceDB Not Supported LiteLLM Supported MLflow Not Supported MySQL Supported Opik Supported PostgreSQL Supported PyTorch Not Supported Union Cloud Not Supported io.net Not Supported Show More Integrations View All 8 Integrations	Integrations Python Supported Snowflake Supported Amazon Redshift Not Supported Amazon SageMaker Supported Amazon Web Services (AWS) Supported Apache Airflow Supported Apache Hive Not Supported Dask Supported Flyte Supported Google Cloud Platform Supported Kubernetes Supported LanceDB Supported LiteLLM Not Supported MLflow Supported MySQL Not Supported Opik Not Supported PostgreSQL Not Supported PyTorch Supported Union Cloud Supported io.net Supported Show More Integrations View All 22 Integrations
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