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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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

Transforming a week's labor of manual data preparation into mere minutes, our innovative Data Preparer software streamlines the path to insights through intelligent data handling. This fresh approach to data preparation allows users to specify their requirements, letting the software automatically determine the best way to fulfill them. With Data Preparer, labor-intensive programming is no longer necessary, as it efficiently manages data preparation tasks without the need for intricate coding. Users simply outline their needs, supplying data sources, a desired structure, quality benchmarks, and sample data. The clarity provided by the target structure and quality priorities ensures precise requirements, while the example data aids Data Preparer in efficiently cleaning and integrating the datasets. Once the parameters are set, Data Preparer takes over, analyzing relationships between the various data sources and the intended target, effectively populating the target with the necessary information. Moreover, it assesses multiple methods for combining the sources and adapts the data format accordingly, making the entire process seamless and user-friendly. In this way, Data Preparer not only simplifies the data preparation process but also enhances the overall quality of the analysis.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS Marketplace Yes 
Amazon Aurora Yes 
Amazon DataZone Yes 
Amazon EC2 Yes 
Amazon S3 Yes 
Amazon S3 Express One Zone Yes 
Amazon SageMaker Studio Yes 
Amazon SageMaker Unified Studio Yes 
CData Connect Yes 
DataBuck Yes 
Mindfuel Yes 
New Relic Yes 
Orchestra Yes 
Protegrity Yes 
SDF Yes 
Saagie Yes 
Select Star Yes 
Snowflake CoCo Yes 
Unity Catalog Yes 
Wavo Yes 

Integrations

AWS Marketplace No 
Amazon Aurora No 
Amazon DataZone No 
Amazon EC2 No 
Amazon S3 No 
Amazon S3 Express One Zone No 
Amazon SageMaker Studio No 
Amazon SageMaker Unified Studio No 
CData Connect No 
DataBuck No 
Mindfuel No 
New Relic No 
Orchestra No 
Protegrity No 
SDF No 
Saagie No 
Select Star No 
Snowflake CoCo No 
Unity Catalog No 
Wavo No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$2500 per user per year
Free Trial Yes 
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 Yes 
Mac Yes 
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) Yes 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/glue/

Vendor Details

Company Name

The Data Value Factory

Founded

2018

Country

United Kingdom

Website

thedatavaluefactory.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 Management

Customer Data Yes 
Data Analysis Yes 
Data Capture No 
Data Integration Yes 
Data Migration No 
Data Quality Control Yes 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge 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 

Alternatives

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