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ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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

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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

The Unity Catalog from Databricks stands out as the sole comprehensive and open governance framework tailored for data and artificial intelligence, integrated within the Databricks Data Intelligence Platform. This innovative solution enables organizations to effortlessly manage structured and unstructured data in various formats, in addition to machine learning models, notebooks, dashboards, and files on any cloud or platform. Data scientists, analysts, and engineers can securely navigate, access, and collaborate on reliable data and AI resources across diverse environments, harnessing AI capabilities to enhance efficiency and realize the full potential of the lakehouse architecture. By adopting this cohesive and open governance strategy, organizations can foster interoperability and expedite their data and AI projects, all while making regulatory compliance easier to achieve. Furthermore, users can quickly identify and categorize both structured and unstructured data, including machine learning models, notebooks, dashboards, and files, across all cloud platforms, ensuring a streamlined governance experience. This comprehensive approach not only simplifies data management but also encourages a collaborative culture among teams.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift No 
Apache Spark No 
Azure SQL Database No 
Daft No 
DataNimbus No 
Datus No 
DinMo No 
DuckDB No 
Google Cloud BigQuery No 
Hackolade No 
LangChain No 
LlamaIndex No 
MLflow No 
MySQL No 
PostgreSQL No 
PuppyGraph No 
Salesforce No 
Snowflake No 
StarRocks No 
Tecton No 

Integrations

Amazon Redshift Yes 
Apache Spark Yes 
Azure SQL Database Yes 
Daft Yes 
DataNimbus Yes 
Datus Yes 
DinMo Yes 
DuckDB Yes 
Google Cloud BigQuery Yes 
Hackolade Yes 
LangChain Yes 
LlamaIndex Yes 
MLflow Yes 
MySQL Yes 
PostgreSQL Yes 
PuppyGraph Yes 
Salesforce Yes 
Snowflake Yes 
StarRocks Yes 
Tecton Yes 

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 Yes 
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 Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

AddToIt

Founded

2000

Country

United States

Website

www.addtoit.com

Vendor Details

Company Name

Databricks

Founded

2013

Country

United States

Website

www.databricks.com/product/unity-catalog

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 Governance

Access Control No 
Data Discovery No 
Data Mapping No 
Data Profiling No 
Deletion Management No 
Email Management No 
Policy Management No 
Process Management No 
Roles Management No 
Storage Management No 

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