Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
We gather, reorganize, and analyze data from a variety of documents and forms, such as web pages, PDFs, DOC files, among others. Our expertise encompasses all stages of the ETL (Extract, Transform, Load) workflow. We excel in converting intricate, unstructured data into precise, actionable insights—regardless of the original format. If you are facing a challenging issue that others have been unable to resolve, our nearly two decades of experience in data collection and processing could be the solution you need. AddToIt is here to assist you! We offer our services in both English and Chinese. All operations are conducted within the United States and adhere to US contractual laws. Established in 2000 and located in Bedford, Massachusetts, AddToIt.com, Inc. focuses on creating innovative technologies aimed at accessing unstructured data effectively. Our business model revolves around delivering data as a service, ensuring we remain customer-oriented and committed to providing services of the highest quality at competitive rates. Furthermore, we pride ourselves on adapting our solutions to meet the unique needs of each client.
Description
Numerous customers of Amazon Web Services (AWS) seek a data storage and analytics solution that surpasses the agility and flexibility of conventional data management systems. A data lake has emerged as an innovative and increasingly favored method for storing and analyzing data, as it enables organizations to handle various data types from diverse sources, all within a unified repository that accommodates both structured and unstructured data. The AWS Cloud supplies essential components necessary for customers to create a secure, adaptable, and economical data lake. These components comprise AWS managed services designed to assist in the ingestion, storage, discovery, processing, and analysis of both structured and unstructured data. To aid our customers in constructing their data lakes, AWS provides a comprehensive data lake solution, which serves as an automated reference implementation that establishes a highly available and cost-efficient data lake architecture on the AWS Cloud, complete with an intuitive console for searching and requesting datasets. Furthermore, this solution not only enhances data accessibility but also streamlines the overall data management process for organizations.
API Access
Has API
No
API Access
Has API
No
Integrations
Rocket Data Replicate & Sync
No
VE3 DataWise
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
AddToIt
Founded
2000
Country
United States
Website
www.addtoit.com
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/solutions/implementations/data-lake-solution/
Product Features
Data Extraction
Disparate Data Collection
No
Document Extraction
Yes
Email Address Extraction
No
IP Address Extraction
No
Image Extraction
No
Phone Number Extraction
No
Pricing Extraction
Yes
Web Data Extraction
Yes
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
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