Caffe vs. Oracle Berkeley DB Comparison


Caffe BAIR	Oracle Berkeley DB Oracle	+	+
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About Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Check out our web image classification demo! Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices. Extensible code fosters active development. In Caffe’s first year, it has been forked by over 1,000 developers and had many significant changes contributed back. Thanks to these contributors the framework tracks the state-of-the-art in both code and models. Speed makes Caffe perfect for research experiments and industry deployment. Caffe can process over 60M images per day with a single NVIDIA K40 GPU.	About Berkeley DB is a family of embedded key-value database libraries providing scalable high-performance data management services to applications. The Berkeley DB products use simple function-call APIs for data access and management. Berkeley DB enables the development of custom data management solutions, without the overhead traditionally associated with such custom projects. Berkeley DB provides a collection of well-proven building-block technologies that can be configured to address any application need from the hand-held device to the data center, from a local storage solution to a world-wide distributed one, from kilobytes to petabytes.
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 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
Audience Anyone looking for an open-source deep learning framework with expression, speed and modularity	Audience Application Developers looking for an advanced NoSQL Database solution
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Supported Online Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Supported Free Trial Not Supported	Pricing No information available. Free Version Supported Free Trial Not 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 Not Supported In Person Not Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Supported
Company Information BAIR United States caffe.berkeleyvision.org	Company Information Oracle Founded: 1977 United States www.oracle.com/database/technologies/related/berkeleydb.html
Alternatives MXNet The Apache Software Foundation	Alternatives Couchbase
DeepSpeed Microsoft	Berkeley Publisher Berkeley Bridge
Gemini Enterprise Agent Platform Google	OrientDB SAP
PyTorch	Actian Zen Actian
NVIDIA GPU-Optimized AMI Amazon View All	InterSystems Caché InterSystems View All
Categories AI Development Supported AI/ML Model Training Supported Deep Learning Supported Neural Network Supported	Categories Embedded Database Supported Key-Value Databases Supported NoSQL Database Supported Offline-First Databases Supported XML Databases Supported
Show More Features Deep Learning Features Convolutional Neural Networks Not Supported Document Classification Supported Image Segmentation Not Supported ML Algorithm Library Not Supported Model Training Not Supported Neural Network Modeling Not Supported Self-Learning Not Supported Visualization Supported	Show More Features NoSQL Database Features Auto-sharding Supported Automatic Database Replication Supported Data Model Flexibility Supported Deployment Flexibility Supported Dynamic Schemas Supported Integrated Caching Supported Multi-Model Supported Performance Management Supported Security Management Supported
Integrations AWS Elastic Fabric Adapter (EFA) Supported AWS Marketplace Supported Amazon Web Services (AWS) Supported BI Book Not Supported Checkmk Not Supported DashboardFox Not Supported Docker Supported Fabric for Deep Learning (FfDL) Supported Ketch Not Supported Lambda Supported NVIDIA DIGITS Supported Netdata Not Supported OpenVINO Supported Polyaxon Supported Pop!_OS Supported Wyn Enterprise Not Supported Zebra by Mipsology Supported eMite Not Supported Show More Integrations View All 13 Integrations	Integrations AWS Elastic Fabric Adapter (EFA) Not Supported AWS Marketplace Not Supported Amazon Web Services (AWS) Not Supported BI Book Supported Checkmk Supported DashboardFox Supported Docker Not Supported Fabric for Deep Learning (FfDL) Not Supported Ketch Supported Lambda Not Supported NVIDIA DIGITS Not Supported Netdata Supported OpenVINO Not Supported Polyaxon Not Supported Pop!_OS Not Supported Wyn Enterprise Supported Zebra by Mipsology Not Supported eMite Supported Show More Integrations View All 9 Integrations
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