# Top 10 Google Cloud Spanner Alternatives & Competitors
**Average Rating:** 4.2/5
**Total Number of Reviews:** 36
If you are considering Google Cloud Spanner, you may also want to investigate similar alternatives or competitors to find the best solution. Other important factors to consider when researching alternatives to Google Cloud Spanner include features and availability. The best overall Google Cloud Spanner alternative is Amazon Aurora. Other similar apps like Google Cloud Spanner are Oracle Database, PostgreSQL, Amazon DynamoDB, and Amazon Relational Database Service (RDS). Google Cloud Spanner 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 [Document Databases](https://www.g2.com/categories/document-databases).


## Best Paid & Free Alternatives to Google Cloud Spanner
  - [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews)
  - [Oracle Database](https://www.g2.com/products/oracle-database/reviews)
  - [PostgreSQL](https://www.g2.com/products/postgresql/reviews)
  - [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews)
  - [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews)
  - [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas/reviews)
  - [MySQL](https://www.g2.com/products/mysql/reviews)
  - [Neo4j Graph Database](https://www.g2.com/products/neo4j-graph-database/reviews)
  - [Azure Cosmos DB](https://www.g2.com/products/azure-cosmos-db/reviews)
  - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)

## Top 10 Alternatives to Google Cloud Spanner Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how Google Cloud Spanner stacks up to the competition, check reviews from current & previous users in industries like Information Technology and Services, Transportation/Trucking/Railroad, and Building Materials, and find the best product for your business.


  ### 1. [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 Google Cloud Spanner, Amazon Aurora is:
- Slower to reach roi
- More expensive
- More usable
Categories in common with Google Cloud Spanner: [Relational Databases](https://www.g2.com/categories/relational-databases), [Database as a Service (DBaaS)](https://www.g2.com/categories/database-as-a-service-dbaas)

**Compare:** [Google Cloud Spanner vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-google-cloud-spanner)
**Compare Amazon Aurora with other alternatives:**
- [Amazon Aurora vs Oracle Database](https://www.g2.com/compare/amazon-aurora-vs-oracle-database)
- [Amazon Aurora vs PostgreSQL](https://www.g2.com/compare/amazon-aurora-vs-postgresql)
- [Amazon Aurora vs Amazon DynamoDB](https://www.g2.com/compare/amazon-aurora-vs-amazon-web-services-aws-amazon-dynamodb)
- [Amazon Aurora vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-aurora-vs-amazon-relational-database-service-rds)
- [Amazon Aurora vs MongoDB Atlas](https://www.g2.com/compare/amazon-aurora-vs-mongodb-atlas)
- [Amazon Aurora vs MySQL](https://www.g2.com/compare/amazon-aurora-vs-mysql)
- [Amazon Aurora vs Neo4j Graph Database](https://www.g2.com/compare/amazon-aurora-vs-neo4j-graph-database)
- [Amazon Aurora vs Azure Cosmos DB](https://www.g2.com/compare/amazon-aurora-vs-azure-cosmos-db)
- [Amazon Aurora vs Microsoft SQL Server](https://www.g2.com/compare/amazon-aurora-vs-microsoft-sql-server)

  ### 2. [Oracle Database](https://www.g2.com/products/oracle-database/reviews)
By Oracle
**Average Rating:** 4.3/5
**Total Reviews:** 1,015
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 Google Cloud Spanner, Oracle Database is:
- Slower to reach roi
- More expensive
- More usable
Categories in common with Google Cloud Spanner: [Relational Databases](https://www.g2.com/categories/relational-databases), [Database as a Service (DBaaS)](https://www.g2.com/categories/database-as-a-service-dbaas)

**Compare:** [Google Cloud Spanner vs Oracle Database](https://www.g2.com/compare/google-cloud-spanner-vs-oracle-database)
**Compare Oracle Database with other alternatives:**
- [Oracle Database vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-oracle-database)
- [Oracle Database vs PostgreSQL](https://www.g2.com/compare/oracle-database-vs-postgresql)
- [Oracle Database vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-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 MongoDB Atlas](https://www.g2.com/compare/mongodb-atlas-vs-oracle-database)
- [Oracle Database vs MySQL](https://www.g2.com/compare/mysql-vs-oracle-database)
- [Oracle Database vs Neo4j Graph Database](https://www.g2.com/compare/neo4j-graph-database-vs-oracle-database)
- [Oracle Database vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-oracle-database)
- [Oracle Database vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-oracle-database)

  ### 3. [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 Google Cloud Spanner, PostgreSQL is:
- More usable
- Better at meeting requirements
- Easier to set up
Categories in common with Google Cloud Spanner: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [Google Cloud Spanner vs PostgreSQL](https://www.g2.com/compare/google-cloud-spanner-vs-postgresql)
**Compare PostgreSQL with other alternatives:**
- [PostgreSQL vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-postgresql)
- [PostgreSQL vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-postgresql)
- [PostgreSQL vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-postgresql)
- [PostgreSQL vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-postgresql)
- [PostgreSQL vs MongoDB Atlas](https://www.g2.com/compare/mongodb-atlas-vs-postgresql)
- [PostgreSQL vs MySQL](https://www.g2.com/compare/mysql-vs-postgresql)
- [PostgreSQL vs Neo4j Graph Database](https://www.g2.com/compare/neo4j-graph-database-vs-postgresql)
- [PostgreSQL vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-postgresql)
- [PostgreSQL vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-postgresql)

  ### 4. [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews)
By Amazon Web Services (AWS)
**Average Rating:** 4.4/5
**Total Reviews:** 529
Nonrelational database for applications that need performance at any scale


Reviewers say compared to Google Cloud Spanner, Amazon DynamoDB is:
- Slower to reach roi
- More usable
- Easier to set up
Categories in common with Google Cloud Spanner: [Database as a Service (DBaaS)](https://www.g2.com/categories/database-as-a-service-dbaas)

**Compare:** [Google Cloud Spanner vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-google-cloud-spanner)
**Compare Amazon DynamoDB with other alternatives:**
- [Amazon DynamoDB vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-amazon-web-services-aws-amazon-dynamodb)
- [Amazon DynamoDB vs Oracle Database](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-oracle-database)
- [Amazon DynamoDB vs PostgreSQL](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-postgresql)
- [Amazon DynamoDB vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-amazon-relational-database-service-rds)
- [Amazon DynamoDB vs MongoDB Atlas](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-mongodb-atlas)
- [Amazon DynamoDB vs MySQL](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-mysql)
- [Amazon DynamoDB vs Neo4j Graph Database](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-neo4j-graph-database)
- [Amazon DynamoDB vs Azure Cosmos DB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-azure-cosmos-db)
- [Amazon DynamoDB vs Microsoft SQL Server](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-microsoft-sql-server)

  ### 5. [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 Google Cloud Spanner, Amazon Relational Database Service (RDS) is:
- Slower to reach roi
- More usable
- Easier to set up
Categories in common with Google Cloud Spanner: [Relational Databases](https://www.g2.com/categories/relational-databases), [Database as a Service (DBaaS)](https://www.g2.com/categories/database-as-a-service-dbaas)

**Compare:** [Google Cloud Spanner vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-google-cloud-spanner)
**Compare Amazon Relational Database Service (RDS) with other alternatives:**
- [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 Oracle Database](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-oracle-database)
- [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 DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-amazon-relational-database-service-rds)
- [Amazon Relational Database Service (RDS) vs MongoDB Atlas](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-mongodb-atlas)
- [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 Neo4j Graph Database](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-neo4j-graph-database)
- [Amazon Relational Database Service (RDS) vs Azure Cosmos DB](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-azure-cosmos-db)
- [Amazon Relational Database Service (RDS) vs Microsoft SQL Server](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-microsoft-sql-server)

  ### 6. [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas/reviews)
By MongoDB
**Average Rating:** 4.5/5
**Total Reviews:** 899
MongoDB Atlas empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.


Reviewers say compared to Google Cloud Spanner, MongoDB Atlas is:
- Slower to reach roi
- More usable
- Easier to set up
Categories in common with Google Cloud Spanner: [Database as a Service (DBaaS)](https://www.g2.com/categories/database-as-a-service-dbaas)

**Compare:** [Google Cloud Spanner vs MongoDB Atlas](https://www.g2.com/compare/google-cloud-spanner-vs-mongodb-atlas)
**Compare MongoDB Atlas with other alternatives:**
- [MongoDB Atlas vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-mongodb-atlas)
- [MongoDB Atlas vs Oracle Database](https://www.g2.com/compare/mongodb-atlas-vs-oracle-database)
- [MongoDB Atlas vs PostgreSQL](https://www.g2.com/compare/mongodb-atlas-vs-postgresql)
- [MongoDB Atlas vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-mongodb-atlas)
- [MongoDB Atlas vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-mongodb-atlas)
- [MongoDB Atlas vs MySQL](https://www.g2.com/compare/mongodb-atlas-vs-mysql)
- [MongoDB Atlas vs Neo4j Graph Database](https://www.g2.com/compare/mongodb-atlas-vs-neo4j-graph-database)
- [MongoDB Atlas vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-mongodb-atlas)
- [MongoDB Atlas vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-mongodb-atlas)

  ### 7. [MySQL](https://www.g2.com/products/mysql/reviews)
By Oracle
**Average Rating:** 4.4/5
**Total Reviews:** 1,679
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 Google Cloud Spanner, MySQL is:
- Slower to reach roi
- More usable
- Easier to set up
Categories in common with Google Cloud Spanner: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [Google Cloud Spanner vs MySQL](https://www.g2.com/compare/google-cloud-spanner-vs-mysql)
**Compare MySQL with other alternatives:**
- [MySQL vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-mysql)
- [MySQL vs Oracle Database](https://www.g2.com/compare/mysql-vs-oracle-database)
- [MySQL vs PostgreSQL](https://www.g2.com/compare/mysql-vs-postgresql)
- [MySQL vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-mysql)
- [MySQL vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-mysql)
- [MySQL vs MongoDB Atlas](https://www.g2.com/compare/mongodb-atlas-vs-mysql)
- [MySQL vs Neo4j Graph Database](https://www.g2.com/compare/mysql-vs-neo4j-graph-database)
- [MySQL vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-mysql)
- [MySQL vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-mysql)

  ### 8. [Neo4j Graph Database](https://www.g2.com/products/neo4j-graph-database/reviews)
By Neo4j
**Average Rating:** 4.5/5
**Total Reviews:** 133
Neo4 is a graph database, that brings data relationships to the fore. From companies offering personalized product and service recommendations; to websites adding social capabilities; to telcos diagnosing network issues; to enterprises reimagining master data, identity, and access models; organizations adopt graph databases as the best way to model, store and query both data and its relationships.


Reviewers say compared to Google Cloud Spanner, Neo4j Graph Database is:
- Easier to set up
- Easier to do business with
- More usable
Categories in common with Google Cloud Spanner: [Database as a Service (DBaaS)](https://www.g2.com/categories/database-as-a-service-dbaas)

**Compare:** [Google Cloud Spanner vs Neo4j Graph Database](https://www.g2.com/compare/google-cloud-spanner-vs-neo4j-graph-database)
**Compare Neo4j Graph Database with other alternatives:**
- [Neo4j Graph Database vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-neo4j-graph-database)
- [Neo4j Graph Database vs Oracle Database](https://www.g2.com/compare/neo4j-graph-database-vs-oracle-database)
- [Neo4j Graph Database vs PostgreSQL](https://www.g2.com/compare/neo4j-graph-database-vs-postgresql)
- [Neo4j Graph Database vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-neo4j-graph-database)
- [Neo4j Graph Database vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-neo4j-graph-database)
- [Neo4j Graph Database vs MongoDB Atlas](https://www.g2.com/compare/mongodb-atlas-vs-neo4j-graph-database)
- [Neo4j Graph Database vs MySQL](https://www.g2.com/compare/mysql-vs-neo4j-graph-database)
- [Neo4j Graph Database vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-neo4j-graph-database)
- [Neo4j Graph Database vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-neo4j-graph-database)

  ### 9. [Azure Cosmos DB](https://www.g2.com/products/azure-cosmos-db/reviews)
By Microsoft
**Average Rating:** 4.2/5
**Total Reviews:** 68
Azure Cosmos DB is a fully managed, globally distributed NoSQL and vector database service designed to support mission-critical applications with ultra-low latency and elastic scalability. It enables developers to build AI-powered applications and agents by providing seamless integration with AI services, allowing for efficient storage and querying of both NoSQL data and vectors. With its schema-agnostic JSON document model, Azure Cosmos DB simplifies the development process by automatically indexing all data, eliminating the need for manual schema or index management. The service offers comprehensive Service Level Agreements (SLAs), ensuring less than 10-millisecond read and write latencies and 99.999% availability, making it a reliable choice for applications requiring high performance and global reach. Key Features and Functionality: - Global Distribution: Azure Cosmos DB allows for turnkey global distribution, enabling data to be replicated across multiple regions worldwide, providing high availability and low latency access to data. - Elastic Scalability: The service offers elastic scaling of throughput and storage, allowing developers to scale resources up or down based on demand without downtime. - Multi-Model Support: It natively supports multiple data models, including document, key-value, graph, and column-family, catering to diverse application needs. - AI Integration: Built-in vector search capabilities simplify the development of AI applications by efficiently storing and querying vectors alongside NoSQL data. - Automatic Indexing: All data is automatically indexed, facilitating fast and efficient queries without the need for manual index management. - Comprehensive SLAs: Azure Cosmos DB provides industry-leading SLAs covering throughput, latency, availability, and consistency, ensuring predictable performance. Primary Value and Solutions Provided: Azure Cosmos DB addresses the challenges of building and managing globally distributed applications by offering a fully managed database service that ensures high availability, low latency, and elastic scalability. Its integration with AI services and support for multiple data models empower developers to create intelligent, responsive applications without the complexity of managing infrastructure. By automatically handling data distribution, scaling, and indexing, Azure Cosmos DB allows organizations to focus on innovation and delivering value to their users, making it an ideal solution for applications requiring real-time data access and global reach.


Reviewers say compared to Google Cloud Spanner, Azure Cosmos DB is:
- More expensive
- More usable
Categories in common with Google Cloud Spanner: [Database as a Service (DBaaS)](https://www.g2.com/categories/database-as-a-service-dbaas)

**Compare:** [Google Cloud Spanner vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-google-cloud-spanner)
**Compare Azure Cosmos DB with other alternatives:**
- [Azure Cosmos DB vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-azure-cosmos-db)
- [Azure Cosmos DB vs Oracle Database](https://www.g2.com/compare/azure-cosmos-db-vs-oracle-database)
- [Azure Cosmos DB vs PostgreSQL](https://www.g2.com/compare/azure-cosmos-db-vs-postgresql)
- [Azure Cosmos DB vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-azure-cosmos-db)
- [Azure Cosmos DB vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-azure-cosmos-db)
- [Azure Cosmos DB vs MongoDB Atlas](https://www.g2.com/compare/azure-cosmos-db-vs-mongodb-atlas)
- [Azure Cosmos DB vs MySQL](https://www.g2.com/compare/azure-cosmos-db-vs-mysql)
- [Azure Cosmos DB vs Neo4j Graph Database](https://www.g2.com/compare/azure-cosmos-db-vs-neo4j-graph-database)
- [Azure Cosmos DB vs Microsoft SQL Server](https://www.g2.com/compare/azure-cosmos-db-vs-microsoft-sql-server)

  ### 10. [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)
By Microsoft
**Average Rating:** 4.4/5
**Total Reviews:** 2,284
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 Google Cloud Spanner, Microsoft SQL Server is:
- Slower to reach roi
- More expensive
- More usable
Categories in common with Google Cloud Spanner: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [Google Cloud Spanner vs Microsoft SQL Server](https://www.g2.com/compare/google-cloud-spanner-vs-microsoft-sql-server)
**Compare Microsoft SQL Server with other alternatives:**
- [Microsoft SQL Server vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-microsoft-sql-server)
- [Microsoft SQL Server vs Oracle Database](https://www.g2.com/compare/microsoft-sql-server-vs-oracle-database)
- [Microsoft SQL Server vs PostgreSQL](https://www.g2.com/compare/microsoft-sql-server-vs-postgresql)
- [Microsoft SQL Server vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-microsoft-sql-server)
- [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 MongoDB Atlas](https://www.g2.com/compare/microsoft-sql-server-vs-mongodb-atlas)
- [Microsoft SQL Server vs MySQL](https://www.g2.com/compare/microsoft-sql-server-vs-mysql)
- [Microsoft SQL Server vs Neo4j Graph Database](https://www.g2.com/compare/microsoft-sql-server-vs-neo4j-graph-database)
- [Microsoft SQL Server vs Azure Cosmos DB](https://www.g2.com/compare/azure-cosmos-db-vs-microsoft-sql-server)


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