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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Harness the power of your data and create innovative artificial intelligence (AI) solutions using Azure Databricks, where you can establish your Apache Spark™ environment in just minutes, enable autoscaling, and engage in collaborative projects within a dynamic workspace. This platform accommodates multiple programming languages such as Python, Scala, R, Java, and SQL, along with popular data science frameworks and libraries like TensorFlow, PyTorch, and scikit-learn. With Azure Databricks, you can access the most current versions of Apache Spark and effortlessly connect with various open-source libraries. You can quickly launch clusters and develop applications in a fully managed Apache Spark setting, benefiting from Azure's expansive scale and availability. The clusters are automatically established, optimized, and adjusted to guarantee reliability and performance, eliminating the need for constant oversight. Additionally, leveraging autoscaling and auto-termination features can significantly enhance your total cost of ownership (TCO), making it an efficient choice for data analysis and AI development. This powerful combination of tools and resources empowers teams to innovate and accelerate their projects like never before.

Description

We collaborate closely with enterprises to identify the prevalent challenges that hinder organizations from achieving their desired outcomes. Our designs aim to unlock possibilities that traditional methods have rendered impractical. Both large and small corporations need an AI platform that provides full empowerment and ownership. It is crucial to address data privacy while implementing AI solutions in a cost-effective manner. By improving operational efficiency, we enhance human work rather than replace it. Our application of AI allows for the automation of repetitive or hazardous tasks, minimizing the need for human involvement and accelerating processes with creativity and empathy. Machine Learning equips applications with seamless predictive capabilities, enabling the construction of classification and regression models. Additionally, it offers functionalities for clustering and visualizing different groupings. Supporting an array of ML libraries such as Weka, Scikit-Learn, H2O, and Tensorflow, it encompasses approximately 22 distinct algorithms tailored for developing classification, regression, and clustering models. This versatility ensures that businesses can adapt and thrive in a rapidly evolving technological landscape.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Azure Data Lake Yes 
Bobsled Yes 
Capital One Slingshot Yes 
Captain Compliance Yes 
DQOps Yes 
Drivetrain Yes 
Embeddable Yes 
Horovod Yes 
Jamba Yes 
Kedro Yes 
KloudMate Yes 
Mage Sensitive Data Discovery Yes 
Microsoft Intelligent Data Platform Yes 
Microsoft Power BI Yes 
Motileo Yes 
Nuvento Yes 
Protegrity Yes 
QuerySurge Yes 
Sifflet Yes 
just words Yes 

Integrations

Azure Data Lake No 
Bobsled No 
Capital One Slingshot No 
Captain Compliance No 
DQOps No 
Drivetrain No 
Embeddable No 
Horovod No 
Jamba No 
Kedro No 
KloudMate No 
Mage Sensitive Data Discovery No 
Microsoft Intelligent Data Platform No 
Microsoft Power BI No 
Motileo No 
Nuvento No 
Protegrity No 
QuerySurge No 
Sifflet No 
just words No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/services/databricks/

Vendor Details

Company Name

Spotflock

Founded

2017

Country

India

Website

intellihub.ai/

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Alternatives

Weka Reviews

Weka

University of Waikato
ML.NET Reviews

ML.NET

Microsoft