# Top 10 EDB Postgres AI Database Alternatives & Competitors
**Average Rating:** 4.4/5
**Total Number of Reviews:** 150
Research alternative solutions to EDB Postgres AI Database on G2, with real user reviews on competing tools. Relational Databases is a widely used technology, and many people are seeking secure, easy to use software solutions with data replication, database locking, and access control. Other important factors to consider when researching alternatives to EDB Postgres AI Database include monitoring tools. The best overall EDB Postgres AI Database alternative is Google Cloud SQL. Other similar apps like EDB Postgres AI Database are PostgreSQL, MySQL, Oracle Database, and Microsoft SQL Server. EDB Postgres AI Database alternatives can be found in [Relational Databases](https://www.g2.com/categories/relational-databases) but may also be in [Database as a Service (DBaaS) Providers](https://www.g2.com/categories/database-as-a-service-dbaas) or [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse).


## Best Paid & Free Alternatives to EDB Postgres AI Database
  - [Google Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews)
  - [PostgreSQL](https://www.g2.com/products/postgresql/reviews)
  - [MySQL](https://www.g2.com/products/mysql/reviews)
  - [Oracle Database](https://www.g2.com/products/oracle-database/reviews)
  - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)
  - [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews)
  - [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews)
  - [IBM Db2](https://www.g2.com/products/ibm-db2/reviews)
  - [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)
  - [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews)

## Top 10 Alternatives to EDB Postgres AI Database Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how EDB Postgres AI Database stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Insurance, and Logistics and Supply Chain, and find the best product for your business.


  ### 1. [Google Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews)
By Google
**Average Rating:** 4.5/5
**Total Reviews:** 367
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 EDB Postgres AI Database, Google Cloud SQL is:
- Slower to reach roi
- Easier to admin
- Easier to set up
Categories in common with EDB Postgres AI Database: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [EDB Postgres AI Database vs Google Cloud SQL](https://www.g2.com/compare/edb-postgres-ai-database-vs-google-cloud-sql)
**Compare Google Cloud SQL with other alternatives:**
- [Google Cloud SQL vs PostgreSQL](https://www.g2.com/compare/google-cloud-sql-vs-postgresql)
- [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 Microsoft SQL Server](https://www.g2.com/compare/google-cloud-sql-vs-microsoft-sql-server)
- [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 Amazon Aurora](https://www.g2.com/compare/amazon-aurora-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 SAP HANA Cloud](https://www.g2.com/compare/google-cloud-sql-vs-sap-hana-cloud-2025-10-01)
- [Google Cloud SQL vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/google-cloud-sql-vs-teradata-autonomous-knowledge-platform)

  ### 2. [PostgreSQL](https://www.g2.com/products/postgresql/reviews)
By PostgreSQL
**Average Rating:** 4.4/5
**Total Reviews:** 684
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 EDB Postgres AI Database, PostgreSQL is:
- Better at meeting requirements
Categories in common with EDB Postgres AI Database: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [EDB Postgres AI Database vs PostgreSQL](https://www.g2.com/compare/edb-postgres-ai-database-vs-postgresql)
**Compare PostgreSQL with other alternatives:**
- [PostgreSQL vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-postgresql)
- [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 Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-postgresql)
- [PostgreSQL vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-postgresql)
- [PostgreSQL vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-postgresql)
- [PostgreSQL vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-postgresql)
- [PostgreSQL vs SAP HANA Cloud](https://www.g2.com/compare/postgresql-vs-sap-hana-cloud-2025-10-01)
- [PostgreSQL vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/postgresql-vs-teradata-autonomous-knowledge-platform)

  ### 3. [MySQL](https://www.g2.com/products/mysql/reviews)
By Oracle
**Average Rating:** 4.4/5
**Total Reviews:** 1,682
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 EDB Postgres AI Database, MySQL is:
- Slower to reach roi
- Easier to set up
Categories in common with EDB Postgres AI Database: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [EDB Postgres AI Database vs MySQL](https://www.g2.com/compare/edb-postgres-ai-database-vs-mysql)
**Compare MySQL with other alternatives:**
- [MySQL vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-mysql)
- [MySQL vs PostgreSQL](https://www.g2.com/compare/mysql-vs-postgresql)
- [MySQL vs Oracle Database](https://www.g2.com/compare/mysql-vs-oracle-database)
- [MySQL vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-mysql)
- [MySQL vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-mysql)
- [MySQL vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-mysql)
- [MySQL vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-mysql)
- [MySQL vs SAP HANA Cloud](https://www.g2.com/compare/mysql-vs-sap-hana-cloud-2025-10-01)
- [MySQL vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/mysql-vs-teradata-autonomous-knowledge-platform)

  ### 4. [Oracle Database](https://www.g2.com/products/oracle-database/reviews)
By Oracle
**Average Rating:** 4.3/5
**Total Reviews:** 1,021
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 EDB Postgres AI Database, Oracle Database is:
- Slower to reach roi
- More expensive
Categories in common with EDB Postgres AI Database: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [EDB Postgres AI Database vs Oracle Database](https://www.g2.com/compare/edb-postgres-ai-database-vs-oracle-database)
**Compare Oracle Database with other alternatives:**
- [Oracle Database vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-oracle-database)
- [Oracle Database vs PostgreSQL](https://www.g2.com/compare/oracle-database-vs-postgresql)
- [Oracle Database vs MySQL](https://www.g2.com/compare/mysql-vs-oracle-database)
- [Oracle Database vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-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 Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-oracle-database)
- [Oracle Database vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-oracle-database)
- [Oracle Database vs SAP HANA Cloud](https://www.g2.com/compare/oracle-database-vs-sap-hana-cloud-2025-10-01)
- [Oracle Database vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/oracle-database-vs-teradata-autonomous-knowledge-platform)

  ### 5. [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)
By Microsoft
**Average Rating:** 4.4/5
**Total Reviews:** 2,287
SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.


Reviewers say compared to EDB Postgres AI Database, Microsoft SQL Server is:
- Slower to reach roi
- More expensive
Categories in common with EDB Postgres AI Database: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [EDB Postgres AI Database vs Microsoft SQL Server](https://www.g2.com/compare/edb-postgres-ai-database-vs-microsoft-sql-server)
**Compare Microsoft SQL Server with other alternatives:**
- [Microsoft SQL Server vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-microsoft-sql-server)
- [Microsoft SQL Server vs PostgreSQL](https://www.g2.com/compare/microsoft-sql-server-vs-postgresql)
- [Microsoft SQL Server vs MySQL](https://www.g2.com/compare/microsoft-sql-server-vs-mysql)
- [Microsoft SQL Server vs Oracle Database](https://www.g2.com/compare/microsoft-sql-server-vs-oracle-database)
- [Microsoft SQL Server vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-microsoft-sql-server)
- [Microsoft SQL Server vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-microsoft-sql-server)
- [Microsoft SQL Server vs IBM Db2](https://www.g2.com/compare/ibm-db2-vs-microsoft-sql-server)
- [Microsoft SQL Server vs SAP HANA Cloud](https://www.g2.com/compare/microsoft-sql-server-vs-sap-hana-cloud-2025-10-01)
- [Microsoft SQL Server vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/microsoft-sql-server-vs-teradata-autonomous-knowledge-platform)

  ### 6. [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:** 909
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 EDB Postgres AI Database, Amazon Relational Database Service (RDS) is:
- Slower to reach roi
- Easier to set up
- Easier to admin
Categories in common with EDB Postgres AI Database: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [EDB Postgres AI Database vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-edb-postgres-ai-database)
**Compare Amazon Relational Database Service (RDS) with other alternatives:**
- [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 PostgreSQL](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-postgresql)
- [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 Microsoft SQL Server](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-microsoft-sql-server)
- [Amazon Relational Database Service (RDS) vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-amazon-relational-database-service-rds)
- [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 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 Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-teradata-autonomous-knowledge-platform)

  ### 7. [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews)
By Amazon Web Services (AWS)
**Average Rating:** 4.5/5
**Total Reviews:** 458
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 EDB Postgres AI Database, Amazon Aurora is:
- Slower to reach roi
- More expensive
- Easier to admin
Categories in common with EDB Postgres AI Database: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [EDB Postgres AI Database vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-edb-postgres-ai-database)
**Compare Amazon Aurora with other alternatives:**
- [Amazon Aurora vs Google Cloud SQL](https://www.g2.com/compare/amazon-aurora-vs-google-cloud-sql)
- [Amazon Aurora vs PostgreSQL](https://www.g2.com/compare/amazon-aurora-vs-postgresql)
- [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 Microsoft SQL Server](https://www.g2.com/compare/amazon-aurora-vs-microsoft-sql-server)
- [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 SAP HANA Cloud](https://www.g2.com/compare/amazon-aurora-vs-sap-hana-cloud-2025-10-01)
- [Amazon Aurora vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/amazon-aurora-vs-teradata-autonomous-knowledge-platform)

  ### 8. [IBM Db2](https://www.g2.com/products/ibm-db2/reviews)
By IBM
**Average Rating:** 4.1/5
**Total Reviews:** 683
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 EDB Postgres AI Database, IBM Db2 is:
- Slower to reach roi
- More expensive
Categories in common with EDB Postgres AI Database: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [EDB Postgres AI Database vs IBM Db2](https://www.g2.com/compare/edb-postgres-ai-database-vs-ibm-db2)
**Compare IBM Db2 with other alternatives:**
- [IBM Db2 vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-ibm-db2)
- [IBM Db2 vs PostgreSQL](https://www.g2.com/compare/ibm-db2-vs-postgresql)
- [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 Microsoft SQL Server](https://www.g2.com/compare/ibm-db2-vs-microsoft-sql-server)
- [IBM Db2 vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-ibm-db2)
- [IBM Db2 vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-ibm-db2)
- [IBM Db2 vs SAP HANA Cloud](https://www.g2.com/compare/ibm-db2-vs-sap-hana-cloud-2025-10-01)
- [IBM Db2 vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/ibm-db2-vs-teradata-autonomous-knowledge-platform)

  ### 9. [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews)
By SAP
**Average Rating:** 4.3/5
**Total Reviews:** 620
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 EDB Postgres AI Database, SAP HANA Cloud is:
- Slower to reach roi
- More expensive
Categories in common with EDB Postgres AI Database: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [EDB Postgres AI Database vs SAP HANA Cloud](https://www.g2.com/compare/edb-postgres-ai-database-vs-sap-hana-cloud-2025-10-01)
**Compare SAP HANA Cloud with other alternatives:**
- [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 PostgreSQL](https://www.g2.com/compare/postgresql-vs-sap-hana-cloud-2025-10-01)
- [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 Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-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 Amazon Aurora](https://www.g2.com/compare/amazon-aurora-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 Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/sap-hana-cloud-2025-10-01-vs-teradata-autonomous-knowledge-platform)

  ### 10. [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:** 376
Teradata Autonomous Knowledge Platform easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment.


Reviewers say compared to EDB Postgres AI Database, Teradata Autonomous Knowledge Platform is:
- Slower to reach roi
- More expensive
Categories in common with EDB Postgres AI Database: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [EDB Postgres AI Database vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/edb-postgres-ai-database-vs-teradata-autonomous-knowledge-platform)
**Compare Teradata Autonomous Knowledge Platform with other alternatives:**
- [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 PostgreSQL](https://www.g2.com/compare/postgresql-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 Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-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 Amazon Aurora](https://www.g2.com/compare/amazon-aurora-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 SAP HANA Cloud](https://www.g2.com/compare/sap-hana-cloud-2025-10-01-vs-teradata-autonomous-knowledge-platform)


---
## EDB Postgres AI Database Alternatives FAQs

### How does EDB for PostgreSQL compare to Cloud SQL?

According to G2 data, [EDB for PostgreSQL](https://www.g2.com/products/edb-for-postgresql/reviews) and [Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) are both highly rated relational database solutions with average ratings of 4.4/5 (106 reviews) and 4.5/5 (366 reviews) respectively. Cloud SQL leads by 0.4 points in Ease of Setup (9.1 vs 8.7) and 0.6 points in Usability (9.2 vs 8.6), reflecting its strong emphasis on ease of use and seamless integration. EDB for PostgreSQL scores higher in Support (9.0 vs 8.8) and Ease of Doing Business (9.2 vs 9.0), highlighting its enterprise-grade support and customer relations. Users praise EDB for PostgreSQL for its robust enterprise features such as Oracle compatibility, advanced security, high availability, and performance tuning, which simplify migration and management of mission-critical workloads. It offers strong monitoring, backup, and failover capabilities with 25 mentions of excellent customer support and 13 mentions of performance benefits. Cloud SQL is favored for its fully managed nature, automated backups, scaling, and integration with Google Cloud services, reducing operational overhead. It is noted for ease of use, scalability, and reliability with 22 mentions of database management and 21 mentions of integrations. Overall, [EDB for PostgreSQL](https://www.g2.com/products/edb-for-postgresql/reviews) excels in enterprise-grade features and support, while [Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) leads in ease of use, setup, and cloud-native automation, making each suitable for different organizational needs.



### What are the best alternatives to EDB for PostgreSQL?

According to G2, the best alternatives to EDB for PostgreSQL include [Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) with a 4.5-star rating across 366 reviews, [PostgreSQL](https://www.g2.com/products/postgresql/reviews) itself rated 4.4 stars with 682 reviews, [MySQL](https://www.g2.com/products/mysql/reviews) also at 4.4 stars with 1677 reviews, and [Oracle Database](https://www.g2.com/products/oracle-database/reviews) rated 4.3 stars with 1010 reviews. Cloud SQL is favored for its fully managed nature, ease of use, and seamless integration with Google Cloud services. PostgreSQL is valued for its open-source flexibility, extensibility, and strong community support. MySQL is recognized for its reliability, ease of use, and broad adoption, while Oracle Database is noted for its enterprise-grade scalability, security, and advanced analytics.



### Which Relational Databases tools do reviewers recommend instead of EDB for PostgreSQL?

Reviewers recommend [Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) for organizations seeking a fully managed, scalable, and easy-to-administer cloud database solution with strong integration into Google Cloud. [PostgreSQL](https://www.g2.com/products/postgresql/reviews) is recommended for those prioritizing open-source flexibility, extensibility, and cost-effectiveness without vendor lock-in. [MySQL](https://www.g2.com/products/mysql/reviews) is suggested for users valuing ease of setup, strong community support, and reliable performance for web and application development. For enterprises requiring robust security, high availability, and advanced features, [Oracle Database](https://www.g2.com/products/oracle-database/reviews) is advised. These alternatives offer varied strengths in usability, scalability, and cost that reviewers find compelling compared to EDB for PostgreSQL.



### Why do users choose Cloud SQL over EDB for PostgreSQL?

Users choose [Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) over [EDB for PostgreSQL](https://www.g2.com/products/edb-for-postgresql/reviews) primarily for its ease of use, seamless integration, and fully managed service model. Cloud SQL scores 0.7 points higher in Ease of Setup (9.1 vs 8.4) and 0.5 points higher in Usability (9.2 vs 8.7), reflecting a smoother onboarding experience and simpler administration. Cloud SQL automates routine database management tasks such as backups, patching, scaling, and high availability, significantly reducing operational overhead and allowing users to focus on application development. It integrates tightly with other Google Cloud services, offering a unified ecosystem that simplifies cloud-native application deployment. Users highlight its straightforward setup, automated maintenance, and scalability as key advantages. While Cloud SQL can become costly at scale and offers limited advanced configuration compared to self-managed solutions, its managed nature and ease of administration attract organizations seeking to minimize database management complexity. The fully managed environment, combined with strong integration and reliable performance, makes Cloud SQL a preferred choice for teams prioritizing operational simplicity and cloud ecosystem compatibility.




## Explore Articles
- [digital asset management solutions](https://www.g2.com/discussions/digital-asset-management-dam-solutions-what-do-you-look-for)
- [Which incident response platform offers the fastest containment capabilities?](https://www.g2.com/discussions/which-incident-response-platform-offers-the-fastest-containment-capabilities)
- [What is the most affordable job description management tool for SMBs?](https://www.g2.com/discussions/what-is-the-most-affordable-job-description-management-tool-for-smbs)
- [What's the best SMS marketing software that combines TCPA compliance tools with strong audience segmentation in one platform?](https://www.g2.com/discussions/what-s-the-best-sms-marketing-software-that-combines-tcpa-compliance-tools-with-strong-audience-segmentation-in-one-platform)
- [Stratix Corporation vs IBM Managed Mobility Services for distributed remote teams: which managed mobility services platform delivers the fastest time to value for teams that cannot afford a long ramp-up?](https://www.g2.com/discussions/stratix-corporation-vs-ibm-managed-mobility-services-for-distributed-remote-teams-which-managed-mobility-services-platform-delivers-the-fastest-time-to-value-for-teams-that-cannot-afford-a-long-ramp-up )
- [Which RASP vendors are considered leaders for runtime protection in cloud-native microservices where traditional perimeter defenses do not apply?](https://www.g2.com/discussions/which-rasp-vendors-are-considered-leaders-for-runtime-protection-in-cloud-native-microservices-where-traditional-perimeter-defenses-do-not-apply)

## Spotlight Categories
- [CMMS Software](https://www.g2.com/categories/cmms)
- [Fleet Management Software](https://www.g2.com/categories/fleet-management)
- [Contact Center Quality Assurance Software](https://www.g2.com/categories/contact-center-quality-assurance)