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What is GRAX?

Top global companies rely on GRAX to achieve the following objectives: ✔ Ensure a complete Digital Chain of Custody ✔ Gain full control over all Salesforce backup and archived data ✔ Efficiently backup, archive, and restore multiple Salesforce Organizations ✔ Lower storage expenses while enhancing Organizational performance ✔ Leverage backup and archived data for analytics and reporting purposes ✔ Monitor and recover manually deleted data ✔ Integrate historical Salesforce data into data warehouses seamlessly ✔ Generate reports across various organizations using tools like Tableau ✔ Strengthen compliance and governance on a global scale ✔ Enhance predictive capabilities through insightful reporting ✔ Utilize data to effectively address business inquiries Recognizing the strategic importance of your Salesforce backup and archive data, GRAX empowers you to unlock its full potential, enabling you to adapt more rapidly to changing business needs. By leveraging your historical data, you can not only enhance decision-making processes but also drive innovation within your organization.

What is Amazon SageMaker Data Wrangler?

Amazon SageMaker Data Wrangler dramatically reduces the time necessary for data collection and preparation for machine learning, transforming a multi-week process into mere minutes. By employing SageMaker Data Wrangler, users can simplify the data preparation and feature engineering stages, efficiently managing every component of the workflow—ranging from selecting, cleaning, exploring, visualizing, to processing large datasets—all within a cohesive visual interface. With the ability to query desired data from a wide variety of sources using SQL, rapid data importation becomes possible. After this, the Data Quality and Insights report can be utilized to automatically evaluate the integrity of your data, identifying any anomalies like duplicate entries and potential target leakage problems. Additionally, SageMaker Data Wrangler provides over 300 pre-built data transformations, facilitating swift modifications without requiring any coding skills. Upon completion of data preparation, users can scale their workflows to manage entire datasets through SageMaker's data processing capabilities, which ultimately supports the training, tuning, and deployment of machine learning models. This all-encompassing tool not only boosts productivity but also enables users to concentrate on effectively constructing and enhancing their models. As a result, the overall machine learning workflow becomes smoother and more efficient, paving the way for better outcomes in data-driven projects.

Media

Media

Integrations Supported

Salesforce
Amazon Athena
Amazon EMR
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon SageMaker Feature Store
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Apache Parquet
Apache Spark
Databricks
Facebook Ads
JSON
Meta Ads
PySpark
SAP Cloud Platform
Snowflake
pandas

Integrations Supported

Salesforce
Amazon Athena
Amazon EMR
Amazon Redshift
Amazon S3
Amazon SageMaker
Amazon SageMaker Feature Store
Amazon SageMaker Studio
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)
Apache Parquet
Apache Spark
Databricks
Facebook Ads
JSON
Meta Ads
PySpark
SAP Cloud Platform
Snowflake
pandas

API Availability

Has API

API Availability

Has API

Pricing Information

$9,000/mo per Salesforce Org
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

GRAX

Date Founded

2018

Company Location

United States

Company Website

www.grax.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

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

Categories and Features

Archiving

Access Control
Data Deduplication
Document Management
Email Archiving
Multimedia Archiving
Retention Management
Storage Management
Version Control
Web Archiving
eDiscovery

Backup

Backup Log
Backup Scheduling
Cloud Backup
Compression
Continuous Backup
Encryption
Incremental Backup
Local Server Options
Remote Server Options
Secure Data Storage
Web Access / Restoration

Business Continuity

Backup Log
Backup Scheduling
Compression
Continuous Backup
Encryption
Incremental Backup
Local Server Options
Multiple System Support
Remote Server Options
Secure Data Storage
Web Access / Restoration

Cloud Management

Access Control
Billing & Provisioning
Capacity Analytics
Cost Management
Demand Monitoring
Multi-Cloud Management
Performance Analytics
SLA Management
Supply Monitoring
Workflow Approval

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Categories and Features

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Machine Learning

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

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