Struggling to choose between Polyhedra RDBMS and Microsoft SQL Server? Both products offer unique advantages, making it a tough decision.
Polyhedra RDBMS is a Development solution with tags like relational-database, open-source, high-availability, scalability, cloud, distributed, multimaster-replication, automatic-failover, sharding.
It boasts features such as Multi-master replication, Automatic failover, Sharding capabilities, ACID transactions, SQL support, JSON support, Key-value storage, Horizontal scalability and pros including High availability, Good scalability, Open source, Support for distributed deployments, Flexible data model.
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.
Polyhedra is an open-source relational database management system focused on high availability and scalability for cloud and distributed applications. It features multi-master replication, automatic failover, and sharding capabilities.
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.