Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    999 Ratings
    Company Website
  • Runpod Reviews & Ratings
    230 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    2,027 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    40 Ratings
    Company Website
  • Teradata VantageCloud Reviews & Ratings
    1,121 Ratings
    Company Website
  • Bright Data Reviews & Ratings
    1,424 Ratings
    Company Website
  • Cloudflare Reviews & Ratings
    2,042 Ratings
    Company Website
  • JetBrains Junie Reviews & Ratings
    12 Ratings
    Company Website
  • FinOpsly Reviews & Ratings
    3 Ratings
    Company Website
  • Fraud.net Reviews & Ratings
    56 Ratings
    Company Website

What is Modelbit?

Continue to follow your regular practices while using Jupyter Notebooks or any Python environment. Simply call modelbi.deploy to initiate your model, enabling Modelbit to handle it alongside all related dependencies in a production setting. Machine learning models deployed through Modelbit can be easily accessed from your data warehouse, just like calling a SQL function. Furthermore, these models are available as a REST endpoint directly from your application, providing additional flexibility. Modelbit seamlessly integrates with your git repository, whether it be GitHub, GitLab, or a bespoke solution. It accommodates code review processes, CI/CD pipelines, pull requests, and merge requests, allowing you to weave your complete git workflow into your Python machine learning models. This platform also boasts smooth integration with tools such as Hex, DeepNote, Noteable, and more, making it simple to migrate your model straight from your favorite cloud notebook into a live environment. If you struggle with VPC configurations and IAM roles, you can quickly redeploy your SageMaker models to Modelbit without hassle. By leveraging the models you have already created, you can benefit from Modelbit's platform and enhance your machine learning deployment process significantly. In essence, Modelbit not only simplifies deployment but also optimizes your entire workflow for greater efficiency and productivity.

What is Hopsworks?

Hopsworks is an all-encompassing open-source platform that streamlines the development and management of scalable Machine Learning (ML) pipelines, and it includes the first-ever Feature Store specifically designed for ML. Users can seamlessly move from data analysis and model development in Python, using tools like Jupyter notebooks and conda, to executing fully functional, production-grade ML pipelines without having to understand the complexities of managing a Kubernetes cluster. The platform supports data ingestion from diverse sources, whether they are located in the cloud, on-premises, within IoT networks, or are part of your Industry 4.0 projects. You can choose to deploy Hopsworks on your own infrastructure or through your preferred cloud service provider, ensuring a uniform user experience whether in the cloud or in a highly secure air-gapped environment. Additionally, Hopsworks offers the ability to set up personalized alerts for various events that occur during the ingestion process, which helps to optimize your workflow. This functionality makes Hopsworks an excellent option for teams aiming to enhance their ML operations while retaining oversight of their data environments, ultimately contributing to more efficient and effective machine learning practices. Furthermore, the platform's user-friendly interface and extensive customization options allow teams to tailor their ML strategies to meet specific needs and objectives.

Media

Media

Integrations Supported

Amazon Redshift
Databricks
Deepnote
GitHub
GitLab
Google Colab
Jupyter Notebook
PyTorch
Snowflake
TensorFlow

Integrations Supported

Amazon EC2
Amazon Web Services (AWS)
IBM watsonx.data
Onehouse

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$1 per month
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Modelbit

Date Founded

2022

Company Location

United States

Company Website

www.modelbit.com

Company Facts

Organization Name

Logical Clocks

Date Founded

2016

Company Location

Sweden

Company Website

www.logicalclocks.com/hopsworks

Categories and Features

AI/ML Model Training

Not specified

Machine Learning

Not specified

Categories and Features

Artificial Intelligence

For Healthcare
For eCommerce
Predictive Analytics
Process/Workflow Automation

Big Data

Collaboration
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
Templates

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Regression Analysis

Data Management

Customer Data
Data Analysis
Data Integration
Data Migration
Data Quality Control
Data Security
Master Data Management

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Popular Alternatives

Popular Alternatives

DATAGYM Reviews & Ratings

DATAGYM

eForce21