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Description
There is no doubt that data and analytics serve as essential catalysts for revolutionary business projects. An increasing number of individuals throughout organizations are utilizing data to tackle intricate inquiries. The necessity for user-friendly, low-code yet adaptable tools for data transformation and machine learning has reached unprecedented levels. The reliance on multiple disparate tools often results in inefficient analytics workflows, elevated costs, and delayed decision-making processes. Outdated solutions with redundant capabilities pose a risk to ongoing data science endeavors, especially as proprietary features in closed vendor platforms become outdated. By merging extensive expertise in data preparation, machine learning, and visualization into a single cohesive interface, Knowledge Works adapts to expanding data volumes, the introduction of new open-source functionalities, and the evolving sophistication of user profiles. As a result, data scientists and business analysts can seamlessly implement data analytics applications through its accessible, cloud-compatible interface. This integration not only enhances productivity but also fosters a more collaborative environment for data-driven decision-making across the organization.
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.
API Access
Has API
API Access
Has API
Integrations
Amazon S3
Amazon SageMaker
Amazon Web Services (AWS)
Azure Kubernetes Service (AKS)
Code With Me
EDB Postgres Advanced Server
Google Cloud Platform
Goose
JetBrains Gateway
Kotlin
Integrations
Amazon S3
Amazon SageMaker
Amazon Web Services (AWS)
Azure Kubernetes Service (AKS)
Code With Me
EDB Postgres Advanced Server
Google Cloud Platform
Goose
JetBrains Gateway
Kotlin
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$19.90 per month
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
Altair
Founded
1985
Country
United States
Website
www.altair.com/knowledge-works/
Vendor Details
Company Name
JetBrains
Founded
2000
Country
Czech Republic
Website
www.jetbrains.com/datalore/
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
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