Starcounter vs Microsoft SQL Server

Struggling to choose between Starcounter and Microsoft SQL Server? Both products offer unique advantages, making it a tough decision.

Starcounter is a Development solution with tags like inmemory, database, web-applications, high-performance.

It boasts features such as In-memory database for high performance, ACID transactions, Shared nothing architecture for scalability, Built-in ORM and query language, Real-time data synchronization, JSON support, Microservices architecture and pros including Very fast data access and processing, Good scalability, Simplified development with ORM and query language, Flexible and lightweight architecture.

On the other hand, Microsoft SQL Server is a Business & Commerce product tagged with database, relational-database, sql, data-warehousing, analytics, machine-learning.

Its standout features include Relational database management system, Transaction processing, Data warehousing, Analytics, Machine learning, High availability, Disaster recovery, Security, Scalability, and it shines with pros like Wide platform and OS support (Windows, Linux, containers), Mature and feature-rich, Strong performance and scalability, Built-in high availability and disaster recovery, Powerful analytics and machine learning capabilities, Integrates well with other Microsoft products and Azure cloud.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Starcounter

Starcounter

Starcounter is an in-memory database platform for developing high-performance web applications. It uses a shared-nothing architecture to distribute data across server nodes for scalability.

Categories:
inmemory database web-applications high-performance

Starcounter Features

  1. In-memory database for high performance
  2. ACID transactions
  3. Shared nothing architecture for scalability
  4. Built-in ORM and query language
  5. Real-time data synchronization
  6. JSON support
  7. Microservices architecture

Pricing

  • Free
  • Subscription-Based

Pros

Very fast data access and processing

Good scalability

Simplified development with ORM and query language

Flexible and lightweight architecture

Cons

Can be resource intensive

Limited ecosystem compared to SQL databases

Not ideal for very large datasets

Steep learning curve


Microsoft SQL Server

Microsoft SQL Server

Microsoft SQL Server is a relational database management system developed by Microsoft. It supports transaction processing, data warehousing, analytics and machine learning. SQL Server runs on Windows and Linux.

Categories:
database relational-database sql data-warehousing analytics machine-learning

Microsoft SQL Server Features

  1. Relational database management system
  2. Transaction processing
  3. Data warehousing
  4. Analytics
  5. Machine learning
  6. High availability
  7. Disaster recovery
  8. Security
  9. Scalability

Pricing

  • Subscription-Based

Pros

Wide platform and OS support (Windows, Linux, containers)

Mature and feature-rich

Strong performance and scalability

Built-in high availability and disaster recovery

Powerful analytics and machine learning capabilities

Integrates well with other Microsoft products and Azure cloud

Cons

Can be complex to manage

Limited use of open source components

Expensive licensing for advanced editions