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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
Upscaledb is a high-speed key-value database that enhances storage efficiency and algorithms based on the unique characteristics of your data. It features optional compression that minimizes both file size and input/output operations, allowing for more data to reside in memory, which boosts performance and scalability during extensive table scans for querying and analyzing information. Upscaledb is capable of supporting all functionalities typical of a conventional SQL database, customized to align with the specific requirements of your application, and can be seamlessly integrated into your software. With its incredibly swift analytical capabilities and efficient database cursors, it serves as an ideal solution for processing data in scenarios where traditional SQL databases may falter in speed. This versatile database has found its applications across tens of millions of desktops, as well as on cloud servers, mobile devices, and various embedded systems. In a specific benchmark, a comprehensive table scan was conducted over 50 million records, yielding the highest retrieval speed, with the records set up as uint32 values, showcasing its remarkable efficiency. Furthermore, this performance highlights the potential of upscaledb to handle large datasets with ease, making it a preferred choice for developers seeking optimal data management solutions.
API Access
Has API
API Access
Has API
Integrations
Auth.js
Autymate
DQ Studio
Data Sentinel
Microsoft Azure
NXLog
SSIS Integration Toolkit
StarfishETL
Integrations
Auth.js
Autymate
DQ Studio
Data Sentinel
Microsoft Azure
NXLog
SSIS Integration Toolkit
StarfishETL
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/storage/tables/#features
Vendor Details
Company Name
upscaledb
Website
upscaledb.com
Product Features
NoSQL Database
Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management