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
At Saras, we are dedicated to democratizing analytics and data science for all businesses, particularly small and medium-sized enterprises. Our solutions eliminate the need for extensive engineering resources and significantly reduce the time required to aggregate and store essential data from marketing, analytics, eCommerce, and other crucial business functions. Enjoy seamless eCommerce reporting and actionable insights delivered directly to you, all without needing to write any code, and set it up in just five minutes! We address the final mile data hurdles by providing top-notch business intelligence, ETL development, and analytical services. Saras Analytics is a versatile partner throughout every phase of the data life cycle, offering ready-made reports and dashboards built on data collected by Daton, crafted in collaboration with leading growth experts from rapidly expanding startups. Challenges such as report creation, custom ETL solutions, and sourcing analysts for data analysis can hinder your progress, but with us, you can overcome these obstacles and regain your momentum. Our commitment is to empower your business with the insights and tools it needs to thrive in a data-driven world.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS App Mesh
Yes
Amazon DataZone
Yes
Amazon Redshift
Yes
Amazon S3 Express One Zone
Yes
Amazon SageMaker Feature Store
Yes
Amazon SageMaker Studio
Yes
Causal
Yes
DataHub
Yes
FairCom DB
Yes
FairCom EDGE
Yes
Integrations
AWS App Mesh
No
Amazon DataZone
No
Amazon Redshift
No
Amazon S3 Express One Zone
No
Amazon SageMaker Feature Store
No
Amazon SageMaker Studio
No
Causal
No
DataHub
No
FairCom DB
No
FairCom EDGE
No
Pricing Details
No price information available.
Free Trial
Yes
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
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
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
Saras Analytics
Founded
2016
Country
India
Website
sarasanalytics.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
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
ETL
Data Analysis
No
Data Filtering
No
Data Quality Control
No
Job Scheduling
No
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
No
Version Control
No