# Top 10 Microsoft SQL Server Alternatives & Competitors **Average Rating:** 4.4/5 **Total Number of Reviews:** 2,284 Explore the best alternatives to Microsoft SQL Server for users who need new software features or want to try different solutions. Other important factors to consider when researching alternatives to Microsoft SQL Server include performance and database management. The best overall Microsoft SQL Server alternative is Teradata Autonomous Knowledge Platform. Other similar apps like Microsoft SQL Server are SAP HANA Cloud, Google Cloud SQL, Snowflake, and MySQL. Microsoft SQL Server alternatives can be found in [Relational Databases](https://www.g2.com/categories/relational-databases) but may also be in [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse) or [Database as a Service (DBaaS) Providers](https://www.g2.com/categories/database-as-a-service-dbaas). ## Best Paid & Free Alternatives to Microsoft SQL Server - [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) - [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) - [Google Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - [MySQL](https://www.g2.com/products/mysql/reviews) - [Oracle Database](https://www.g2.com/products/oracle-database/reviews) - [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews) - [IBM Db2](https://www.g2.com/products/ibm-db2/reviews) - [PostgreSQL](https://www.g2.com/products/postgresql/reviews) - [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews) ## Top 10 Alternatives to Microsoft SQL Server Recently Reviewed By G2 Community Browse options below. Based on reviewer data, you can see how Microsoft SQL Server stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Financial Services, and Banking, and find the best product for your business. ### 1. [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) By Teradata Autonomous Knowledge Platform **Average Rating:** 4.3/5 **Total Reviews:** 375 Teradata Autonomous Knowledge Platform easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment. Reviewers say compared to Microsoft SQL Server, Teradata Autonomous Knowledge Platform is: - More expensive Categories in common with Microsoft SQL Server: [Relational Databases](https://www.g2.com/categories/relational-databases), [Database Management Systems (DBMS)](https://www.g2.com/categories/database-management-systems-dbms), [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution) **Compare:** [Microsoft SQL Server vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/microsoft-sql-server-vs-teradata-autonomous-knowledge-platform) **Compare Teradata Autonomous Knowledge Platform with other alternatives:** - [Teradata Autonomous Knowledge Platform vs SAP HANA Cloud](https://www.g2.com/compare/sap-hana-cloud-2025-10-01-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs Snowflake](https://www.g2.com/compare/snowflake-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs MySQL](https://www.g2.com/compare/mysql-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs PostgreSQL](https://www.g2.com/compare/postgresql-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-teradata-autonomous-knowledge-platform) ### 2. [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) By SAP **Average Rating:** 4.3/5 **Total Reviews:** 621 SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage. Reviewers say compared to Microsoft SQL Server, SAP HANA Cloud is: - Slower to reach roi - More expensive - Easier to do business with Categories in common with Microsoft SQL Server: [Relational Databases](https://www.g2.com/categories/relational-databases), [Database Management Systems (DBMS)](https://www.g2.com/categories/database-management-systems-dbms) **Compare:** [Microsoft SQL Server vs SAP HANA Cloud](https://www.g2.com/compare/microsoft-sql-server-vs-sap-hana-cloud-2025-10-01) **Compare SAP HANA Cloud with other alternatives:** - [SAP HANA Cloud vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/sap-hana-cloud-2025-10-01-vs-teradata-autonomous-knowledge-platform) - [SAP HANA Cloud vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-sap-hana-cloud-2025-10-01) - [SAP HANA Cloud vs Snowflake](https://www.g2.com/compare/sap-hana-cloud-2025-10-01-vs-snowflake) - [SAP HANA Cloud vs MySQL](https://www.g2.com/compare/mysql-vs-sap-hana-cloud-2025-10-01) - [SAP HANA Cloud vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-sap-hana-cloud-2025-10-01) - [SAP HANA Cloud vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-sap-hana-cloud-2025-10-01) - [SAP HANA Cloud vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-sap-hana-cloud-2025-10-01) - [SAP HANA Cloud vs PostgreSQL](https://www.g2.com/compare/postgresql-vs-sap-hana-cloud-2025-10-01) - [SAP HANA Cloud vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-sap-hana-cloud-2025-10-01) ### 3. [Google Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) By Google **Average Rating:** 4.5/5 **Total Reviews:** 366 Cloud SQL is a fully managed, relational database service for running PostgreSQL, MySQL and SQL Server workloads. It's an ideal choice if you want to lift & shift an existing database or build a new application in the cloud. Reviewers say compared to Microsoft SQL Server, Google Cloud SQL is: - Easier to set up - Easier to admin - More usable Categories in common with Microsoft SQL Server: [Relational Databases](https://www.g2.com/categories/relational-databases), [Database Management Systems (DBMS)](https://www.g2.com/categories/database-management-systems-dbms) **Compare:** [Microsoft SQL Server vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-microsoft-sql-server) **Compare Google Cloud SQL with other alternatives:** - [Google Cloud SQL vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/google-cloud-sql-vs-teradata-autonomous-knowledge-platform) - [Google Cloud SQL vs SAP HANA Cloud](https://www.g2.com/compare/google-cloud-sql-vs-sap-hana-cloud-2025-10-01) - [Google Cloud SQL vs Snowflake](https://www.g2.com/compare/google-cloud-sql-vs-snowflake) - [Google Cloud SQL vs MySQL](https://www.g2.com/compare/google-cloud-sql-vs-mysql) - [Google Cloud SQL vs Oracle Database](https://www.g2.com/compare/google-cloud-sql-vs-oracle-database) - [Google Cloud SQL vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-google-cloud-sql) - [Google Cloud SQL vs IBM Db2](https://www.g2.com/compare/google-cloud-sql-vs-ibm-db2) - [Google Cloud SQL vs PostgreSQL](https://www.g2.com/compare/google-cloud-sql-vs-postgresql) - [Google Cloud SQL vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-google-cloud-sql) ### 4. [Snowflake](https://www.g2.com/products/snowflake/reviews) By Snowflake, Inc. **Average Rating:** 4.5/5 **Total Reviews:** 756 Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience. Reviewers say compared to Microsoft SQL Server, Snowflake is: - Easier to set up - Easier to do business with - More usable Categories in common with Microsoft SQL Server: [Database Management Systems (DBMS)](https://www.g2.com/categories/database-management-systems-dbms), [Big Data Processing and Distribution](https://www.g2.com/categories/big-data-processing-and-distribution) **Compare:** [Microsoft SQL Server vs Snowflake](https://www.g2.com/compare/microsoft-sql-server-vs-snowflake) **Compare Snowflake with other alternatives:** - [Snowflake vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/snowflake-vs-teradata-autonomous-knowledge-platform) - [Snowflake vs SAP HANA Cloud](https://www.g2.com/compare/sap-hana-cloud-2025-10-01-vs-snowflake) - [Snowflake vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-snowflake) - [Snowflake vs MySQL](https://www.g2.com/compare/mysql-vs-snowflake) - [Snowflake vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-snowflake) - [Snowflake vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-snowflake) - [Snowflake vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-snowflake) - [Snowflake vs PostgreSQL](https://www.g2.com/compare/postgresql-vs-snowflake) - [Snowflake vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-snowflake) ### 5. [MySQL](https://www.g2.com/products/mysql/reviews) By Oracle **Average Rating:** 4.4/5 **Total Reviews:** 1,680 MySQL is the world's most popular open-source database, renowned for its reliability, performance, and ease of use. It serves as the backbone for many high-profile web applications, including those of Facebook, Twitter, and YouTube. MySQL offers a comprehensive suite of features that cater to the needs of modern web, mobile, embedded, and cloud applications. Key Features and Functionality: - Transactional Data Dictionary: Implemented as a set of SQL tables stored in a single InnoDB tablespace, enhancing data management efficiency. - Common Table Expressions (CTEs): Also known as WITH queries, CTEs simplify complex queries and improve readability. - Window Functions: These functions reduce code complexity and boost developer productivity by allowing calculations across sets of table rows related to the current row. - Invisible Indexes: Facilitate better management of software upgrades and database changes for applications that require continuous operation. - Descending Indexes: Eliminate the need for sorting results, leading to performance improvements. - JSON Support: Includes the JSON\_TABLE() function, which accepts JSON data and returns it as a relational table, enhancing flexibility in data handling. - Document Store: Allows the development of both SQL and NoSQL document applications using a single database, providing versatility in application design. - SQL Roles: Simplify permission management by granting and denying permissions to groups of users, thereby reducing the security workload. - OpenSSL Integration: Utilizes OpenSSL as the default TLS/SSL library, ensuring secure data transmission. - Default to utf8mb4 Character Set: Supports richer mobile applications and international character sets, accommodating a global user base. - Geographic Information System (GIS) Enhancements: Supports geography and Spatial Reference Systems (SRS), enabling advanced spatial data analysis. - InnoDB Cluster: Provides improved high availability through integrated solutions. - InnoDB ClusterSet: Offers cross-region disaster recovery capabilities, ensuring data resilience. - Replication: Provides flexible topologies for scale-out and high availability, enhancing system robustness. - Reliability: Requires minimal intervention to achieve continuous uptime, ensuring consistent performance. - Partitioning: Improves performance and management of very large database environments by dividing tables into smaller, more manageable pieces. - ACID Transactions: Ensures reliable and secure business-critical applications by supporting Atomicity, Consistency, Isolation, and Durability. - Stored Procedures and Triggers: Enhance developer productivity and enforce complex business rules at the database level. - Views: Ensure sensitive information is not compromised by providing controlled access to data. - Ease of Use: Offers a "3 minutes from download to development" installation and configuration process, facilitating quick deployment. - Low Administration: Requires very little database maintenance, reducing operational overhead. Primary Value and User Solutions: MySQL delivers a robust, scalable, and secure database solution that addresses the needs of developers and enterprises alike. Its comprehensive feature set supports the development of high-performance applications across various platforms, including web, mobile, embedded, and cloud environments. By offering advanced functionalities such as ACID compliance, high availability, and flexible replication, MySQL ensures data integrity and reliability. Its ease of use and low administrative requirements enable organizations to reduce operational costs and accelerate time-to-market for their applications. Furthermore, MySQL's support for modern development practices, including JSON and NoSQL capabilities, allows developers to build versatile and future-proof applications. Reviewers say compared to Microsoft SQL Server, MySQL is: - Easier to set up - More usable - Easier to admin Categories in common with Microsoft SQL Server: [Relational Databases](https://www.g2.com/categories/relational-databases) **Compare:** [Microsoft SQL Server vs MySQL](https://www.g2.com/compare/microsoft-sql-server-vs-mysql) **Compare MySQL with other alternatives:** - [MySQL vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/mysql-vs-teradata-autonomous-knowledge-platform) - [MySQL vs SAP HANA Cloud](https://www.g2.com/compare/mysql-vs-sap-hana-cloud-2025-10-01) - [MySQL vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-mysql) - [MySQL vs Snowflake](https://www.g2.com/compare/mysql-vs-snowflake) - [MySQL vs Oracle Database](https://www.g2.com/compare/mysql-vs-oracle-database) - [MySQL vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-mysql) - [MySQL vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-mysql) - [MySQL vs PostgreSQL](https://www.g2.com/compare/mysql-vs-postgresql) - [MySQL vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-mysql) ### 6. [Oracle Database](https://www.g2.com/products/oracle-database/reviews) By Oracle **Average Rating:** 4.3/5 **Total Reviews:** 1,012 Oracle Database is a comprehensive, multi-model database management system developed by Oracle Corporation. It is designed to handle various data types and workloads, including online transaction processing (OLTP), data warehousing, and mixed database operations. With its robust architecture, Oracle Database supports deployment across on-premises environments, cloud platforms, and hybrid configurations, offering flexibility and scalability to meet diverse business needs. Key Features and Functionality: - Multi-Model Support: Oracle Database accommodates various data models, including relational, document, graph, and key-value, enabling developers to work with diverse data types within a single platform. - Advanced Analytics: The database integrates advanced analytics capabilities, such as in-database machine learning and AI Vector Search, allowing users to perform complex analyses directly within the database environment. - High Availability and Scalability: Designed for mission-critical applications, Oracle Database offers features like data replication, backup, server clustering, and automatic storage management to ensure high availability and seamless scalability. - Security: With comprehensive security measures, including encryption, SQL Firewall, and data masking, Oracle Database safeguards sensitive information and maintains data integrity. - Multicloud Deployment: Oracle Database supports deployment across various cloud platforms, including Oracle Cloud Infrastructure, AWS, Microsoft Azure, and Google Cloud, providing flexibility and compliance with data residency requirements. Primary Value and Solutions Provided: Oracle Database addresses the complex data management needs of modern enterprises by offering a unified platform that supports multiple data models and workloads. Its integration of AI and machine learning capabilities enables organizations to derive actionable insights directly from their data, enhancing decision-making processes. The database's high availability and scalability ensure that businesses can maintain continuous operations and adapt to growing data demands. Additionally, its robust security features protect against data breaches and ensure compliance with regulatory standards. By supporting multicloud deployments, Oracle Database provides the flexibility to operate in various cloud environments, facilitating seamless integration and innovation across different platforms. Reviewers say compared to Microsoft SQL Server, Oracle Database is: - Slower to reach roi - More expensive Categories in common with Microsoft SQL Server: [Relational Databases](https://www.g2.com/categories/relational-databases) **Compare:** [Microsoft SQL Server vs Oracle Database](https://www.g2.com/compare/microsoft-sql-server-vs-oracle-database) **Compare Oracle Database with other alternatives:** - [Oracle Database vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/oracle-database-vs-teradata-autonomous-knowledge-platform) - [Oracle Database vs SAP HANA Cloud](https://www.g2.com/compare/oracle-database-vs-sap-hana-cloud-2025-10-01) - [Oracle Database vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-oracle-database) - [Oracle Database vs Snowflake](https://www.g2.com/compare/oracle-database-vs-snowflake) - [Oracle Database vs MySQL](https://www.g2.com/compare/mysql-vs-oracle-database) - [Oracle Database vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-oracle-database) - [Oracle Database vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-oracle-database) - [Oracle Database vs PostgreSQL](https://www.g2.com/compare/oracle-database-vs-postgresql) - [Oracle Database vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-oracle-database) ### 7. [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews) By Amazon Web Services (AWS) **Average Rating:** 4.5/5 **Total Reviews:** 908 Amazon Relational Database Service (RDS) is a web service that makes it easy to set up, operate, and scale a relational DB in the cloud: Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server. Reviewers say compared to Microsoft SQL Server, Amazon Relational Database Service (RDS) is: - Easier to set up - Easier to do business with - Easier to admin Categories in common with Microsoft SQL Server: [Relational Databases](https://www.g2.com/categories/relational-databases) **Compare:** [Microsoft SQL Server vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-microsoft-sql-server) **Compare Amazon Relational Database Service (RDS) with other alternatives:** - [Amazon Relational Database Service (RDS) vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-teradata-autonomous-knowledge-platform) - [Amazon Relational Database Service (RDS) vs SAP HANA Cloud](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-sap-hana-cloud-2025-10-01) - [Amazon Relational Database Service (RDS) vs Google Cloud SQL](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-google-cloud-sql) - [Amazon Relational Database Service (RDS) vs Snowflake](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-snowflake) - [Amazon Relational Database Service (RDS) vs MySQL](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-mysql) - [Amazon Relational Database Service (RDS) vs Oracle Database](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-oracle-database) - [Amazon Relational Database Service (RDS) vs IBM Db2](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-ibm-db2) - [Amazon Relational Database Service (RDS) vs PostgreSQL](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-postgresql) - [Amazon Relational Database Service (RDS) vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-amazon-relational-database-service-rds) ### 8. [IBM Db2](https://www.g2.com/products/ibm-db2/reviews) By IBM **Average Rating:** 4.1/5 **Total Reviews:** 682 IBM® Db2® is the database that offers enterprise-wide solutions handling high-volume workloads. It is optimized to deliver industry-leading performance while lowering costs. Reviewers say compared to Microsoft SQL Server, IBM Db2 is: - Slower to reach roi Categories in common with Microsoft SQL Server: [Relational Databases](https://www.g2.com/categories/relational-databases) **Compare:** [Microsoft SQL Server vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-microsoft-sql-server) **Compare IBM Db2 with other alternatives:** - [IBM Db2 vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/ibm-db2-vs-teradata-autonomous-knowledge-platform) - [IBM Db2 vs SAP HANA Cloud](https://www.g2.com/compare/ibm-db2-vs-sap-hana-cloud-2025-10-01) - [IBM Db2 vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-ibm-db2) - [IBM Db2 vs Snowflake](https://www.g2.com/compare/ibm-db2-vs-snowflake) - [IBM Db2 vs MySQL](https://www.g2.com/compare/ibm-db2-vs-mysql) - [IBM Db2 vs Oracle Database](https://www.g2.com/compare/ibm-db2-vs-oracle-database) - [IBM Db2 vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-ibm-db2) - [IBM Db2 vs PostgreSQL](https://www.g2.com/compare/ibm-db2-vs-postgresql) - [IBM Db2 vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-ibm-db2) ### 9. [PostgreSQL](https://www.g2.com/products/postgresql/reviews) By PostgreSQL **Average Rating:** 4.4/5 **Total Reviews:** 683 PostgreSQL is a powerful, open-source object-relational database system renowned for its reliability, extensibility, and adherence to SQL standards. Originating from the POSTGRES project at the University of California at Berkeley in 1986, it has evolved over nearly four decades into a robust platform capable of handling complex data workloads across various operating systems. PostgreSQL's architecture emphasizes data integrity and scalability, making it a preferred choice for developers and organizations worldwide. Key Features and Functionality: - Comprehensive Data Types: Supports a wide range of data types, including primitives (Integer, Numeric, String, Boolean), structured (Date/Time, Array, Range), document (JSON/JSONB, XML), and geometric types. - Advanced Data Integrity: Ensures data accuracy through features like UNIQUE constraints, primary and foreign keys, exclusion constraints, and various locking mechanisms. - High Performance and Concurrency: Utilizes advanced indexing methods (B-tree, GiST, GIN, BRIN), a sophisticated query planner, multi-version concurrency control (MVCC), parallel query execution, and table partitioning to optimize performance. - Reliability and Disaster Recovery: Offers write-ahead logging (WAL), various replication methods (asynchronous, synchronous, logical), point-in-time recovery (PITR), and active standbys to ensure data durability and availability. - Robust Security Measures: Provides multiple authentication methods (GSSAPI, SSPI, LDAP, SCRAM-SHA-256, Certificate, OAuth 2.0), a comprehensive access-control system, and supports multi-factor authentication. - Extensibility: Allows the creation of custom data types, functions, and operators. Supports procedural languages like PL/pgSQL, Perl, Python, and Tcl, with additional languages available through extensions. Primary Value and User Solutions: PostgreSQL addresses the needs of developers and organizations by offering a highly extensible and standards-compliant database system that ensures data integrity, scalability, and robust performance. Its open-source nature allows for continuous innovation and adaptability, enabling users to tailor the database to their specific requirements. Whether managing small applications or large-scale enterprise systems, PostgreSQL provides a reliable foundation for storing and processing data efficiently. Reviewers say compared to Microsoft SQL Server, PostgreSQL is: - Easier to set up - Better at meeting requirements - Easier to do business with Categories in common with Microsoft SQL Server: [Relational Databases](https://www.g2.com/categories/relational-databases) **Compare:** [Microsoft SQL Server vs PostgreSQL](https://www.g2.com/compare/microsoft-sql-server-vs-postgresql) **Compare PostgreSQL with other alternatives:** - [PostgreSQL vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/postgresql-vs-teradata-autonomous-knowledge-platform) - [PostgreSQL vs SAP HANA Cloud](https://www.g2.com/compare/postgresql-vs-sap-hana-cloud-2025-10-01) - [PostgreSQL vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-postgresql) - [PostgreSQL vs Snowflake](https://www.g2.com/compare/postgresql-vs-snowflake) - [PostgreSQL vs MySQL](https://www.g2.com/compare/mysql-vs-postgresql) - [PostgreSQL vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-postgresql) - [PostgreSQL vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-postgresql) - [PostgreSQL vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-postgresql) - [PostgreSQL vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-postgresql) ### 10. [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews) By Amazon Web Services (AWS) **Average Rating:** 4.5/5 **Total Reviews:** 457 Amazon Aurora is a fully managed relational database service that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Compatible with MySQL and PostgreSQL, Aurora delivers up to five times the throughput of standard MySQL databases and up to three times that of standard PostgreSQL databases. It is designed for high availability, offering up to 99.99% availability within a single region and up to 99.999% across multiple regions. Aurora's architecture includes a distributed, fault-tolerant storage system that automatically scales up to 128 tebibytes, ensuring continuous data access and durability. Additionally, Aurora provides serverless configurations, allowing automatic scaling based on application needs, and integrates seamlessly with other AWS services for machine learning and analytics. Key Features and Functionality: - High Performance: Delivers up to five times the throughput of MySQL and three times that of PostgreSQL, enabling efficient handling of demanding workloads. - High Availability: Designed for up to 99.99% availability within a single region and up to 99.999% across multiple regions, ensuring continuous data access. - Scalability: Automatically scales storage up to 128 tebibytes and supports up to 15 read replicas for read-intensive applications. - Serverless Configuration: Offers Aurora Serverless, which automatically adjusts capacity based on application demand, eliminating the need for manual provisioning. - Machine Learning Integration: Integrates with Amazon SageMaker and Amazon Comprehend, allowing for in-database machine learning capabilities without data movement. - Security: Provides multiple layers of security, including network isolation, encryption at rest and in transit, and compliance with various industry standards. Primary Value and Solutions Provided: Amazon Aurora addresses the need for a high-performance, highly available, and scalable relational database service that is cost-effective and easy to manage. By offering compatibility with MySQL and PostgreSQL, it allows organizations to migrate existing applications without significant code changes. Aurora's automatic scaling and serverless options cater to applications with variable workloads, reducing operational overhead and costs. Its integration with AWS machine learning services enables real-time analytics and predictive capabilities directly within the database, enhancing application functionality. Overall, Aurora simplifies database management while delivering enterprise-grade performance and reliability. Reviewers say compared to Microsoft SQL Server, Amazon Aurora is: - Easier to set up - Better at support - Easier to admin Categories in common with Microsoft SQL Server: [Relational Databases](https://www.g2.com/categories/relational-databases) **Compare:** [Microsoft SQL Server vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-microsoft-sql-server) **Compare Amazon Aurora with other alternatives:** - [Amazon Aurora vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/amazon-aurora-vs-teradata-autonomous-knowledge-platform) - [Amazon Aurora vs SAP HANA Cloud](https://www.g2.com/compare/amazon-aurora-vs-sap-hana-cloud-2025-10-01) - [Amazon Aurora vs Google Cloud SQL](https://www.g2.com/compare/amazon-aurora-vs-google-cloud-sql) - [Amazon Aurora vs Snowflake](https://www.g2.com/compare/amazon-aurora-vs-snowflake) - [Amazon Aurora vs MySQL](https://www.g2.com/compare/amazon-aurora-vs-mysql) - [Amazon Aurora vs Oracle Database](https://www.g2.com/compare/amazon-aurora-vs-oracle-database) - [Amazon Aurora vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-aurora-vs-amazon-relational-database-service-rds) - [Amazon Aurora vs IBM Db2](https://www.g2.com/compare/amazon-aurora-vs-ibm-db2) - [Amazon Aurora vs PostgreSQL](https://www.g2.com/compare/amazon-aurora-vs-postgresql) --- ## Microsoft SQL Server Alternatives FAQs ### What are the best alternatives to MS SQL? The best alternatives to MS SQL include [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) (4.3/5, 375 reviews), [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) (4.3/5, 621 reviews), [Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) (4.5/5, 366 reviews), [Snowflake](https://www.g2.com/products/snowflake/reviews) (4.5/5, 756 reviews), [MySQL](https://www.g2.com/products/mysql/reviews) (4.4/5, 1675 reviews), [Oracle Database](https://www.g2.com/products/oracle-database/reviews) (4.3/5, 1010 reviews), [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews) (4.5/5, 908 reviews), [IBM Db2](https://www.g2.com/products/ibm-db2/reviews) (4.1/5, 682 reviews), [PostgreSQL](https://www.g2.com/products/postgresql/reviews) (4.4/5, 680 reviews), and [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews) (4.5/5, 457 reviews). These alternatives offer competitive ratings and robust feature sets. ### What features do alternatives offer that MS SQL does not? MS SQL lacks native multi-cloud deployment flexibility and integrated AI/machine learning capabilities that some alternatives provide. ### Which Relational Databases tools do reviewers recommend instead of MS SQL? Reviewers recommend alternatives such as [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) for its exceptional scalability, parallel processing, and integrated AI/machine learning capabilities that enhance analytics and workload management. [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) is favored for its real-time in-memory processing, multi-model support, and seamless integration within the SAP ecosystem, enabling efficient handling of large datasets and real-time analytics. [Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) and [Snowflake](https://www.g2.com/products/snowflake/reviews) are praised for ease of administration, scalability, and strong integration with cloud services, reducing operational overhead. [MySQL](https://www.g2.com/products/mysql/reviews) is recommended for its reliability, ease of use, and open-source flexibility. [Oracle Database](https://www.g2.com/products/oracle-database/reviews) is noted for its advanced analytics, high availability, and security features. [Amazon RDS](https://www.g2.com/products/amazon-relational-database-service-rds/reviews) and [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews) stand out for fully managed services with automated backups, scaling, and high availability. [PostgreSQL](https://www.g2.com/products/postgresql/reviews) is valued for its extensibility, strong SQL compliance, and support for complex queries and AI workloads. [IBM Db2](https://www.g2.com/products/ibm-db2/reviews) is recognized for its enterprise-grade reliability, AI-driven query optimization, and hybrid cloud support. These recommendations reflect a preference for solutions that offer enhanced scalability, ease of management, integrated AI/ML capabilities, and robust cloud-native features compared to MS SQL. ### How does MS SQL compare to Teradata Autonomous Knowledge Platform? [MS SQL](https://www.g2.com/products/microsoft-sql-server/reviews) and [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) both excel in handling large-scale data workloads but cater to different enterprise needs. MS SQL boasts a slightly higher average rating of 4.4/5 from 2,283 reviews compared to Teradata's 4.3/5 from 375 reviews, reflecting broader user adoption and satisfaction. MS SQL scores 0.3 points higher in meeting requirements (9.0 vs 8.7) and 0.3 points higher in usability (8.6 vs 8.3), indicating stronger alignment with user expectations and ease of use. It also leads by 0.1 points in ease of setup (8.1 vs 8.0), ease of administration (8.3 vs 8.0), and ease of doing business (8.4 vs 8.2), while both tie at 8.3 for support. MS SQL is praised for its ease of use (29 mentions), robust database management (24 mentions), and strong performance (24 mentions), with seamless integration into the Microsoft ecosystem enhancing its appeal. Conversely, Teradata is recognized for superior scalability (11 mentions), high performance on large datasets (14 mentions), and advanced analytics capabilities (11 mentions), excelling in parallel processing and handling complex analytical workloads efficiently. Teradata's strengths lie in massive data scalability and integrated AI/ML analytics, while MS SQL offers a more mature, user-friendly environment with broader community support and integration. ### Why do users choose Teradata Autonomous Knowledge Platform over MS SQL? Users choose [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) over [MS SQL](https://www.g2.com/products/microsoft-sql-server/reviews) primarily for its unmatched ability to handle massive volumes of data with consistent high performance. Teradata's massively parallel processing architecture enables fast query execution over tens of millions of rows, maintaining speed even as data volumes double, which is critical for enterprises with large-scale analytics needs. Its integrated support for diverse analytic types—including SQL, machine learning, AI, and geospatial analytics—within a single platform provides a comprehensive solution for complex data science workflows. Users highlight Teradata's efficient workload management that supports high concurrency without performance degradation, making it ideal for environments with simultaneous ad-hoc queries, dashboards, and ETL jobs. The platform's flexibility to deploy across on-premises, cloud, and hybrid environments adds to its appeal for organizations seeking scalable and adaptable infrastructure. Additionally, Teradata's ability to run Python analytics directly where data resides eliminates data movement, accelerating data science processes. Despite a steeper learning curve and higher cost, users value Teradata's robust scalability, advanced analytics capabilities, and reliable performance for enterprise-grade data warehousing and analytics, which justify the investment for organizations with demanding data workloads and complex analytical requirements. ## Explore Articles - [Which network management software offers the best real-time monitoring?](https://www.g2.com/discussions/which-network-management-software-offers-the-best-real-time-monitoring) - [Household Employee](https://www.g2.com/glossary/household-employee-definition) - [Best AI assistants for reducing support ticket volumes](https://www.g2.com/discussions/what-are-the-best-ai-assistants-for-reducing-support-ticket-volumes) - [Best contact center workforce management software for small business](https://www.g2.com/discussions/what-s-the-best-contact-center-workforce-management-software-for-small-businesses) - [Which spend management software is best for large enterprises](https://www.g2.com/discussions/which-spend-management-software-is-best-for-large-enterprises) - [Which financial fraud prevention tools have intuitive dashboards for investigating linked accounts and device patterns?](https://www.g2.com/discussions/which-financial-fraud-prevention-tools-have-intuitive-dashboards-for-investigating-linked-accounts-and-device-patterns) ## Spotlight Categories - [Help Desk Software](https://www.g2.com/categories/help-desk) - [Contract Management Software](https://www.g2.com/categories/contract-management) - [Job Search Sites](https://www.g2.com/categories/job-search-sites)