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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Datalore is a platform for collaborative data science and analytics that aims to improve the entire analytics workflow and make working with data more enjoyable for both data scientists as well as data-savvy business teams. Datalore is a collaborative platform that focuses on data teams workflow. It offers technical-savvy business users the opportunity to work with data teams using no-code and low-code, as well as the power of Jupyter Notebooks. Datalore allows business users to perform analytic self-service. They can work with data using SQL or no-code cells, create reports, and dive deep into data. It allows core data teams to focus on simpler tasks. Datalore allows data scientists and analysts to share their results with ML Engineers. You can share your code with ML Engineers on powerful CPUs and GPUs, and you can collaborate with your colleagues in real time.

Description

NVIDIA Merlin equips data scientists, ML engineers, and researchers with the tools necessary to create scalable, high-performance recommendation systems. This suite includes libraries, methodologies, and various tools that simplify the process of building recommenders by tackling prevalent issues related to preprocessing, feature engineering, training, inference, and production deployment. Optimized components within Merlin facilitate the retrieval, filtering, scoring, and organization of vast data sets, often reaching hundreds of terabytes, all accessed via user-friendly APIs. The implementation of Merlin enables enhanced predictions, improved click-through rates, and quicker production deployment, making it an essential resource for professionals. As a part of NVIDIA AI, Merlin exemplifies the company's dedication to empowering innovative practitioners in their work. Furthermore, this comprehensive solution is crafted to seamlessly integrate with existing recommender systems that leverage both data science and machine learning techniques, ensuring that users can build on their current workflows effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon S3
Amazon SageMaker
Code With Me
EDB Postgres Advanced Server
Google Cloud Platform
Goose
JetBrains Gateway
Kotlin
MySQL
NVIDIA TensorRT
PostgreSQL
PyCharm
Python
R
SQL
Scala
Snowflake
Supermaven

Integrations

Amazon S3
Amazon SageMaker
Code With Me
EDB Postgres Advanced Server
Google Cloud Platform
Goose
JetBrains Gateway
Kotlin
MySQL
NVIDIA TensorRT
PostgreSQL
PyCharm
Python
R
SQL
Scala
Snowflake
Supermaven

Pricing Details

$19.90 per month
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

JetBrains

Founded

2000

Country

Czech Republic

Website

www.jetbrains.com/datalore/

Vendor Details

Company Name

NVIDIA

Country

United States

Website

developer.nvidia.com/merlin

Product Features

Code Collaboration

Audio Conferencing
Chat / Messaging
Code Review
Discussion Threads
IDE Integration
Remote Control
Remote Pair Programming
Screen Sharing
Video Conferencing

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

IDE

Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor

Product Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Alternatives

Alternatives