Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Utilize Azure Table storage to manage petabytes of semi-structured data efficiently while keeping expenses low. In contrast to various data storage solutions, whether local or cloud-based, Table storage enables seamless scaling without the need for manual sharding of your dataset. Additionally, concerns about data availability are mitigated through the use of geo-redundant storage, which ensures that data is replicated three times within a single region and an extra three times in a distant region, enhancing data resilience. This storage option is particularly advantageous for accommodating flexible datasets—such as user data from web applications, address books, device details, and various other types of metadata—allowing you to develop cloud applications without restricting the data model to specific schemas. Each row in a single table can possess a unique structure, for instance, featuring order details in one entry and customer data in another, which grants you the flexibility to adapt your application and modify the table schema without requiring downtime. Furthermore, Table storage is designed with a robust consistency model to ensure reliable data access. Overall, it provides an adaptable and scalable solution for modern data management needs.
Description
Vendia is a Software as a Service (SaaS) platform that facilitates seamless sharing of code and data across various clouds, regions, and technology stacks for businesses and organizations. By allowing enterprises to collaborate effectively, Vendia streamlines the sharing process across distinct companies, accounts, and environments. Its innovative architecture employs a distributed data model that ensures accessibility wherever it's needed, complemented by a serverless design that allows for effortless scaling. Vendia empowers businesses to develop a comprehensive view of their data, which is particularly useful for tracking and tracing items throughout a supply chain. This data often involves multiple business parties, including suppliers, logistics providers, and affiliates, which may consist of different legal entities or divisions within a single organization. Additionally, it accommodates scenarios where departments are separated by their choice of cloud services, such as one utilizing AWS while another opts for Azure. This versatility and adaptability make Vendia a crucial tool for modern enterprises navigating complex data-sharing challenges.
API Access
Has API
No
API Access
Has API
Yes
Integrations
AWS Lambda
No
Amazon Aurora
No
Amazon Kinesis
No
Amazon S3
No
Amazon Web Services (AWS)
No
Auth.js
Yes
Autymate
Yes
DQ Studio
Yes
Data Sentinel
Yes
GraphQL
No
Integrations
AWS Lambda
Yes
Amazon Aurora
Yes
Amazon Kinesis
Yes
Amazon S3
Yes
Amazon Web Services (AWS)
Yes
Auth.js
No
Autymate
No
DQ Studio
No
Data Sentinel
No
GraphQL
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
Yes
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
No
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
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/storage/tables/#features
Vendor Details
Company Name
Vendia
Country
United States
Website
www.vendia.com
Product Features
NoSQL Database
Auto-sharding
No
Automatic Database Replication
No
Data Model Flexibility
No
Deployment Flexibility
No
Dynamic Schemas
No
Integrated Caching
No
Multi-Model
No
Performance Management
No
Security Management
No
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