We compared SQL Server and Amazon Aurora based on our user's reviews in several parameters.
In summary, SQL Server is praised for its robustness, reliability, security, and user-friendly interface, with reasonable pricing and satisfactory ROI. On the other hand, Amazon Aurora stands out for its scalability, performance, and user-friendly interface, with varying user experiences in terms of pricing and setup. Users highlight the need for enhancements in both products, such as performance optimization and improved usability.
Features: SQL Server stands out for its robustness, reliable handling of large data, seamless integration with Microsoft products, comprehensive security measures, and user-friendly graphical interface. In comparison, Amazon Aurora excels in seamless scalability, easy-to-use interface, and impressive speed, allowing for efficient and smooth operations.
Pricing and ROI: The setup cost for SQL Server has been praised as straightforward and efficient, with flexible licensing options. In contrast, the experience with pricing, setup cost, and licensing of Amazon Aurora is more varied. While some find the pricing competitive and appreciate the lack of upfront setup costs, others find the licensing terms complicated. Individual perspectives and requirements play a significant role in determining the experience with pricing, setup cost, and licensing., SQL Server offers significant improvements in efficiency, data management, and cost savings, with seamless integration, robust security, and superior performance. On the other hand, Amazon Aurora provides a valuable ROI for its users.
Room for Improvement: The SQL Server product could benefit from improvements in usability, performance optimization, compatibility with other platforms, handling of complex queries, security features, and efficient handling of large datasets. On the other hand, Amazon Aurora could improve in terms of performance, scalability, backup and restoration processes, user interface usability, and pricing structure.
Deployment and customer support: The reviews indicate that the time required for establishing a new tech solution with SQL Server can range from a week to three months, with deployment and setup phases possibly being separate. The feedback for Amazon Aurora also varies, with deployment taking anywhere from a week to three months, and setup being completed in the same timeframe or an additional week. Considering the context is essential for understanding the duration of these phases., Customers have praised the reliability and efficiency of SQL Server's customer service, while Amazon Aurora's support team has been commended for their prompt assistance and knowledge. Differences lie in specific areas of support provided.
The summary above is based on 42 interviews we conducted recently with SQL Server and Amazon Aurora users. To access the review's full transcripts, download our report.
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.
Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.
Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones (AZs).
Visit the Amazon RDS Management Console to create your first Aurora database instance and start migrating your MySQL and PostgreSQL databases.
SQL Server is a relational database management system (RDBMS) by Microsoft. The product's main purposes are to store data and retrieve it as requested by other software applications - on the same computer or on another computer across a shared network. The solution is built on top of Structured Query Language (SQL), which is a standardized programming language used for relational database management.
The product is tied to Transact-SQL (T-SQL), which is an implementation of SQL from Microsoft that adds several proprietary programming extensions to the standard language. SQL Server is built similarly to other RDBMS products, as its structure is a row-based table that connects related data elements in different tables to one another. One of its most important components is the SQL Server Database Engine, as it controls data processing, storage, and security. Beneath the Database Engine is the SQL Server Operating System, which is used for memory and I/O management, locking data to avoid unneeded upgrades, and job scheduling.
The solution has four editions with different sets of services and tools. They include:
The first two are available for free and are typically utilized by smaller companies, as they work with fewer functions and storage. The second two editions are generally used by bigger organizations and enterprises and offer more features.
The solution has several functions through which users can facilitate different data-related processes. These include:
SQL Server Services
SQL Server has a wide range of add-on services that provide additional benefits beyond database management. These services include:
SQL Server Benefits
The solution has many benefits for users. These include the following:
Reviews from Real Users
A president at a consultancy evaluates SQL Server as a veteran solution with critical log shipping feature.
Harkamal S., a user at a manufacturing company, rates SQL Server with a high mark because it is a stable, scalable, and easy-to-deploy solution that pretty much covers everything.
We monitor all Relational Databases Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
