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What is Starcounter?

With our advanced in-memory technology combined with the application server, you can create high-performance enterprise software effortlessly, eliminating the need for custom tools or complex syntax. Starcounter applications can enhance performance by an astounding 50 to 1000 times while ensuring user-friendliness and simplicity. Development is streamlined using standard C#, LINQ, and SQL, with ACID transactions seamlessly integrated into familiar C# code. The platform fully supports Visual Studio, boasting features like IntelliSense, a robust debugger, and a performance profiler, ensuring a smooth development experience without unnecessary hurdles. By leveraging standard C# syntax and the MVVM design pattern, developers can tap into our ACID in-memory technology along with a lightweight client UI to achieve exceptional performance levels. Starcounter's technology begins providing business benefits right from the start, utilizing tried-and-true solutions that manage millions of transactions for demanding clients. This unique combination of an ACID in-memory database and an application server into one cohesive platform delivers unmatched performance, ease of use, and cost-efficiency. In essence, Starcounter equips developers with the tools necessary to create powerful applications that not only fulfill but surpass the evolving needs of modern businesses, ensuring a competitive edge in the market.

What is Azure Managed Redis?

Azure Managed Redis integrates the latest advancements from Redis, providing outstanding availability and a cost-effective Total Cost of Ownership (TCO), specifically designed for hyperscale cloud settings. By utilizing this service within a robust cloud framework, organizations can seamlessly expand their generative AI applications. The platform empowers developers to build high-performance, scalable AI solutions, leveraging its state-of-the-art Redis functionalities. With features like in-memory data storage, vector similarity search, and real-time data processing, developers are equipped to handle large datasets efficiently, accelerate machine learning workflows, and develop faster AI applications. Furthermore, its seamless integration with Azure OpenAI Service guarantees that AI workloads are optimized for both speed and scalability, meeting critical operational requirements. This positions Azure Managed Redis not only as a powerful tool for AI development but also as an essential resource for companies aiming to maintain their edge in a rapidly evolving market. Ultimately, embracing these capabilities can significantly enhance business agility and innovation.

Media

Media

Integrations Supported

JSON
.NET
Azure Cache for Redis
Azure Marketplace
C#
Docker
Kestrel
LINQ
Microsoft Azure
Microsoft Entra ID
Redis
SQL
Visual Studio

Integrations Supported

JSON
.NET
Azure Cache for Redis
Azure Marketplace
C#
Docker
Kestrel
LINQ
Microsoft Azure
Microsoft Entra ID
Redis
SQL
Visual Studio

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Starcounter

Company Location

Sweden

Company Website

starcounter.io

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

www.microsoft.com

Categories and Features

Application Server

Admin Console
Alerts / Notifications
Application Security
Multi-Application Support
Multiple Environment Support
Open Standards Compliance
Reporting / Analytics
User Management

Categories and Features

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