Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AWS Glue is a fully managed data integration solution that simplifies the process of discovering, preparing, and merging data for purposes such as analytics, machine learning, and application development. By offering all the necessary tools for data integration, AWS Glue enables users to begin analyzing their data and leveraging it for insights within minutes rather than taking months. The concept of data integration encompasses various activities like identifying and extracting data from multiple sources, enhancing, cleaning, normalizing, and consolidating that data, as well as organizing and loading it into databases, data warehouses, and data lakes. Different users, each utilizing various tools, often manage these tasks. Operating within a serverless environment, AWS Glue eliminates the need for infrastructure management, automatically provisioning, configuring, and scaling the resources essential for executing data integration jobs. This efficiency allows organizations to focus more on data-driven decision-making without the overhead of manual resource management.
Description
Numerous individuals rely on Excel, VBA/Python scripts, or SQL queries for preparing data, often due to a lack of awareness of superior options available. EasyMorph stands out as a dedicated tool that offers over 150 built-in actions designed for quick and visual data transformation and automation, all without the need for coding skills. By utilizing EasyMorph, you can move beyond complex scripts and unwieldy spreadsheets, significantly enhancing your productivity. This application allows you to seamlessly retrieve data from a variety of sources such as databases, spreadsheets, emails and their attachments, text files, remote folders, corporate applications like SharePoint, and web APIs, all without needing programming expertise. You can employ visual tools and queries to filter and extract precisely the information you require, eliminating the need to consult IT for assistance. Moreover, it enables you to automate routine tasks associated with files, spreadsheets, websites, and emails with no coding required, transforming tedious and repetitive actions into a simple button click. With EasyMorph, not only is the data preparation process simplified, but users can also focus on more strategic tasks instead of getting bogged down in the minutiae of data handling.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS App Mesh
Yes
AWS Marketplace
Yes
Amazon Aurora
Yes
Amazon DataZone
Yes
Amazon RDS
Yes
Amazon S3
Yes
Amundsen
Yes
CSViewer
No
Causal
Yes
DataBuck
Yes
Integrations
AWS App Mesh
No
AWS Marketplace
No
Amazon Aurora
No
Amazon DataZone
No
Amazon RDS
No
Amazon S3
No
Amundsen
No
CSViewer
Yes
Causal
No
DataBuck
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$900 per user per year
Free Trial
Yes
Free Version
Yes
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
Yes
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
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/glue/
Vendor Details
Company Name
EasyMorph
Founded
2014
Country
United States
Website
easymorph.com
Product Features
Data Discovery
Contextual Search
No
Data Classification
No
Data Matching
No
False Positives Reduction
No
Self Service Data Preparation
No
Sensitive Data Identification
No
Visual Analytics
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
ETL
Data Analysis
Yes
Data Filtering
Yes
Data Quality Control
Yes
Job Scheduling
No
Match & Merge
Yes
Metadata Management
Yes
Non-Relational Transformations
Yes
Version Control
Yes
Product Features
Data Analysis
Data Discovery
Yes
Data Visualization
Yes
High Volume Processing
Yes
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Data Discovery
Contextual Search
Yes
Data Classification
Yes
Data Matching
Yes
False Positives Reduction
No
Self Service Data Preparation
Yes
Sensitive Data Identification
No
Visual Analytics
Yes
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
ETL
Data Analysis
Yes
Data Filtering
Yes
Data Quality Control
Yes
Job Scheduling
Yes
Match & Merge
Yes
Metadata Management
Yes
Non-Relational Transformations
Yes
Version Control
No