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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Amazon SageMaker Data Wrangler significantly shortens the data aggregation and preparation timeline for machine learning tasks from several weeks to just minutes. This tool streamlines data preparation and feature engineering, allowing you to execute every phase of the data preparation process—such as data selection, cleansing, exploration, visualization, and large-scale processing—through a unified visual interface. You can effortlessly select data from diverse sources using SQL, enabling rapid imports. Following this, the Data Quality and Insights report serves to automatically assess data integrity and identify issues like duplicate entries and target leakage. With over 300 pre-built data transformations available, SageMaker Data Wrangler allows for quick data modification without the need for coding. After finalizing your data preparation, you can scale the workflow to encompass your complete datasets, facilitating model training, tuning, and deployment in a seamless manner. This comprehensive approach not only enhances efficiency but also empowers users to focus on deriving insights from their data rather than getting bogged down in the preparation phase.

Description

Utilize Kepler's Automated Data Science Workflows to eliminate the necessity for coding and prior machine learning knowledge. Quickly onboard to produce insights that are tailored specifically to your organization's data and needs. Benefit from ongoing updates and additional workflows developed by our expert AI and ML team through our SaaS platform. Enhance AI capabilities and speed up the realization of value with a solution that adapts alongside your business using the existing team and expertise you have. Tackle intricate business challenges using sophisticated AI and machine learning features without requiring any technical ML skills. Take advantage of cutting-edge, comprehensive automation, a vast collection of AI algorithms, and the quick deployment of machine learning models. Organizations are increasingly turning to Kepler to streamline and automate essential business operations, resulting in heightened productivity and agility while fostering an environment of continuous improvement and innovation. By leveraging Kepler's solutions, businesses can ensure they remain competitive and responsive to ever-evolving market demands.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon S3 Yes 
Amazon Athena Yes 
Amazon EMR Yes 
Amazon SageMaker Yes 
Amazon SageMaker Feature Store Yes 
Amazon SageMaker Studio Yes 
Amazon SageMaker Unified Studio Yes 
Amazon Web Services (AWS) Yes 
Apache Parquet Yes 
Apache Spark Yes 
Databricks Yes 
Facebook Ads Yes 
JSON Yes 
Meta Ads Yes 
Microsoft Azure No 
PostgreSQL No 
PySpark Yes 
SQL Server No 
Salesforce Yes 
pandas Yes 

Integrations

Amazon S3 Yes 
Amazon Athena No 
Amazon EMR No 
Amazon SageMaker No 
Amazon SageMaker Feature Store No 
Amazon SageMaker Studio No 
Amazon SageMaker Unified Studio No 
Amazon Web Services (AWS) No 
Apache Parquet No 
Apache Spark No 
Databricks No 
Facebook Ads No 
JSON No 
Meta Ads No 
Microsoft Azure Yes 
PostgreSQL Yes 
PySpark No 
SQL Server Yes 
Salesforce No 
pandas 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 No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/sagemaker/data-wrangler/

Vendor Details

Company Name

Stradigi AI

Founded

2017

Country

Canada

Website

www.stradigi.ai/why-kepler/

Product Features

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing No 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation No 
Machine Learning No 
Visual User Interface No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare Yes 
For Sales No 
For eCommerce Yes 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing Yes 
Predictive Analytics Yes 
Process/Workflow Automation Yes 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing No 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation No 
Machine Learning No 
Visual User Interface No 

Machine Learning

Deep Learning Yes 
ML Algorithm Library Yes 
Model Training Yes 
Natural Language Processing (NLP) Yes 
Predictive Modeling Yes 
Statistical / Mathematical Tools No 
Templates Yes 
Visualization Yes 

Alternatives

Alternatives

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