# Top 10 CockroachDB Alternatives & Competitors
**Average Rating:** 4.3/5
**Total Number of Reviews:** 29
Research alternative solutions to CockroachDB on G2, with real user reviews on competing tools. Relational Databases is a widely used technology, and many people are seeking easily administered, sophisticated software solutions with database monitoring, anomaly detection, and governance. Other important factors to consider when researching alternatives to CockroachDB include availability and features. The best overall CockroachDB alternative is YugabyteDB. Other similar apps like CockroachDB are Google Cloud SQL, MongoDB Atlas, Amazon DynamoDB, and SingleStore. CockroachDB 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 CockroachDB
  - [YugabyteDB](https://www.g2.com/products/yugabytedb/reviews)
  - [Google Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews)
  - [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas/reviews)
  - [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews)
  - [SingleStore](https://www.g2.com/products/singlestore/reviews)
  - [PostgreSQL](https://www.g2.com/products/postgresql/reviews)
  - [Snowflake](https://www.g2.com/products/snowflake/reviews)
  - [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews)
  - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)
  - [MySQL](https://www.g2.com/products/mysql/reviews)

## Top 10 Alternatives to CockroachDB Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how CockroachDB stacks up to the competition, check reviews from current & previous users in industries like Computer Software, Computer Games, and Hospital & Health Care, and find the best product for your business.


  ### 1. [YugabyteDB](https://www.g2.com/products/yugabytedb/reviews)
By Yugabyte, Inc.
**Average Rating:** 4.5/5
**Total Reviews:** 65
YugabyteDB is turbocharged PostgreSQL for business-critical transactional applications. 100% open source, it offers built-in resilience, on-demand scaling, and more!


Reviewers say compared to CockroachDB, YugabyteDB is:
- More expensive
- Better at meeting requirements
- Better at support
Categories in common with CockroachDB: [Database as a Service (DBaaS)](https://www.g2.com/categories/database-as-a-service-dbaas), [Database Management Systems (DBMS)](https://www.g2.com/categories/database-management-systems-dbms), [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [CockroachDB vs YugabyteDB](https://www.g2.com/compare/cockroachdb-vs-yugabytedb)
**Compare YugabyteDB with other alternatives:**
- [YugabyteDB vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-yugabytedb)
- [YugabyteDB vs MongoDB Atlas](https://www.g2.com/compare/mongodb-atlas-vs-yugabytedb)
- [YugabyteDB vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-yugabytedb)
- [YugabyteDB vs SingleStore](https://www.g2.com/compare/singlestore-vs-yugabytedb)
- [YugabyteDB vs PostgreSQL](https://www.g2.com/compare/postgresql-vs-yugabytedb)
- [YugabyteDB vs Snowflake](https://www.g2.com/compare/snowflake-vs-yugabytedb)
- [YugabyteDB vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-yugabytedb)
- [YugabyteDB vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-yugabytedb)
- [YugabyteDB vs MySQL](https://www.g2.com/compare/mysql-vs-yugabytedb)

  ### 2. [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 CockroachDB, Google Cloud SQL is:
- More expensive
- Better at meeting requirements
- More usable
Categories in common with CockroachDB: [Database as a Service (DBaaS)](https://www.g2.com/categories/database-as-a-service-dbaas), [Database Management Systems (DBMS)](https://www.g2.com/categories/database-management-systems-dbms), [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [CockroachDB vs Google Cloud SQL](https://www.g2.com/compare/cockroachdb-vs-google-cloud-sql)
**Compare Google Cloud SQL with other alternatives:**
- [Google Cloud SQL vs YugabyteDB](https://www.g2.com/compare/google-cloud-sql-vs-yugabytedb)
- [Google Cloud SQL vs MongoDB Atlas](https://www.g2.com/compare/google-cloud-sql-vs-mongodb-atlas)
- [Google Cloud SQL vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-google-cloud-sql)
- [Google Cloud SQL vs SingleStore](https://www.g2.com/compare/google-cloud-sql-vs-singlestore)
- [Google Cloud SQL vs PostgreSQL](https://www.g2.com/compare/google-cloud-sql-vs-postgresql)
- [Google Cloud SQL vs Snowflake](https://www.g2.com/compare/google-cloud-sql-vs-snowflake)
- [Google Cloud SQL vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-google-cloud-sql)
- [Google Cloud SQL vs Microsoft SQL Server](https://www.g2.com/compare/google-cloud-sql-vs-microsoft-sql-server)
- [Google Cloud SQL vs MySQL](https://www.g2.com/compare/google-cloud-sql-vs-mysql)

  ### 3. [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 CockroachDB, MongoDB Atlas is:
- More expensive
- Better at meeting requirements
Categories in common with CockroachDB: [Database as a Service (DBaaS)](https://www.g2.com/categories/database-as-a-service-dbaas)

**Compare:** [CockroachDB vs MongoDB Atlas](https://www.g2.com/compare/cockroachdb-vs-mongodb-atlas)
**Compare MongoDB Atlas with other alternatives:**
- [MongoDB Atlas vs YugabyteDB](https://www.g2.com/compare/mongodb-atlas-vs-yugabytedb)
- [MongoDB Atlas vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-mongodb-atlas)
- [MongoDB Atlas vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-mongodb-atlas)
- [MongoDB Atlas vs SingleStore](https://www.g2.com/compare/mongodb-atlas-vs-singlestore)
- [MongoDB Atlas vs PostgreSQL](https://www.g2.com/compare/mongodb-atlas-vs-postgresql)
- [MongoDB Atlas vs Snowflake](https://www.g2.com/compare/mongodb-atlas-vs-snowflake)
- [MongoDB Atlas vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-mongodb-atlas)
- [MongoDB Atlas vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-mongodb-atlas)
- [MongoDB Atlas vs MySQL](https://www.g2.com/compare/mongodb-atlas-vs-mysql)

  ### 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 CockroachDB, Amazon DynamoDB is:
- More expensive
- Better at meeting requirements
Categories in common with CockroachDB: [Database as a Service (DBaaS)](https://www.g2.com/categories/database-as-a-service-dbaas)

**Compare:** [CockroachDB vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-cockroachdb)
**Compare Amazon DynamoDB with other alternatives:**
- [Amazon DynamoDB vs YugabyteDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-yugabytedb)
- [Amazon DynamoDB vs Google Cloud SQL](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-google-cloud-sql)
- [Amazon DynamoDB vs MongoDB Atlas](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-mongodb-atlas)
- [Amazon DynamoDB vs SingleStore](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-singlestore)
- [Amazon DynamoDB vs PostgreSQL](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-postgresql)
- [Amazon DynamoDB vs Snowflake](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-snowflake)
- [Amazon DynamoDB vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-amazon-web-services-aws-amazon-dynamodb)
- [Amazon DynamoDB vs Microsoft SQL Server](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-microsoft-sql-server)
- [Amazon DynamoDB vs MySQL](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-mysql)

  ### 5. [SingleStore](https://www.g2.com/products/singlestore/reviews)
By SingleStore
**Average Rating:** 4.5/5
**Total Reviews:** 118
SingleStoreDB is a real-time, unified, distributed SQL database combining transactional + analytical + vector data workloads.


Reviewers say compared to CockroachDB, SingleStore is:
- Slower to reach roi
- More expensive
- Better at meeting requirements
Categories in common with CockroachDB: [Relational Databases](https://www.g2.com/categories/relational-databases), [Vector Database](https://www.g2.com/categories/vector-database)

**Compare:** [CockroachDB vs SingleStore](https://www.g2.com/compare/cockroachdb-vs-singlestore)
**Compare SingleStore with other alternatives:**
- [SingleStore vs YugabyteDB](https://www.g2.com/compare/singlestore-vs-yugabytedb)
- [SingleStore vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-singlestore)
- [SingleStore vs MongoDB Atlas](https://www.g2.com/compare/mongodb-atlas-vs-singlestore)
- [SingleStore vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-singlestore)
- [SingleStore vs PostgreSQL](https://www.g2.com/compare/postgresql-vs-singlestore)
- [SingleStore vs Snowflake](https://www.g2.com/compare/singlestore-vs-snowflake)
- [SingleStore vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-singlestore)
- [SingleStore vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-singlestore)
- [SingleStore vs MySQL](https://www.g2.com/compare/mysql-vs-singlestore)

  ### 6. [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 CockroachDB, PostgreSQL is:
- Better at meeting requirements
Categories in common with CockroachDB: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [CockroachDB vs PostgreSQL](https://www.g2.com/compare/cockroachdb-vs-postgresql)
**Compare PostgreSQL with other alternatives:**
- [PostgreSQL vs YugabyteDB](https://www.g2.com/compare/postgresql-vs-yugabytedb)
- [PostgreSQL vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-postgresql)
- [PostgreSQL vs MongoDB Atlas](https://www.g2.com/compare/mongodb-atlas-vs-postgresql)
- [PostgreSQL vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-postgresql)
- [PostgreSQL vs SingleStore](https://www.g2.com/compare/postgresql-vs-singlestore)
- [PostgreSQL vs Snowflake](https://www.g2.com/compare/postgresql-vs-snowflake)
- [PostgreSQL vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-postgresql)
- [PostgreSQL vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-postgresql)
- [PostgreSQL vs MySQL](https://www.g2.com/compare/mysql-vs-postgresql)

  ### 7. [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 CockroachDB, Snowflake is:
- More expensive
- Better at meeting requirements
- More usable
Categories in common with CockroachDB: [Database Management Systems (DBMS)](https://www.g2.com/categories/database-management-systems-dbms)

**Compare:** [CockroachDB vs Snowflake](https://www.g2.com/compare/cockroachdb-vs-snowflake)
**Compare Snowflake with other alternatives:**
- [Snowflake vs YugabyteDB](https://www.g2.com/compare/snowflake-vs-yugabytedb)
- [Snowflake vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-snowflake)
- [Snowflake vs MongoDB Atlas](https://www.g2.com/compare/mongodb-atlas-vs-snowflake)
- [Snowflake vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-snowflake)
- [Snowflake vs SingleStore](https://www.g2.com/compare/singlestore-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)
- [Snowflake vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-snowflake)
- [Snowflake vs MySQL](https://www.g2.com/compare/mysql-vs-snowflake)

  ### 8. [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 CockroachDB, Amazon Aurora is:
- More expensive
- Better at meeting requirements
Categories in common with CockroachDB: [Database as a Service (DBaaS)](https://www.g2.com/categories/database-as-a-service-dbaas), [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [CockroachDB vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-cockroachdb)
**Compare Amazon Aurora with other alternatives:**
- [Amazon Aurora vs YugabyteDB](https://www.g2.com/compare/amazon-aurora-vs-yugabytedb)
- [Amazon Aurora vs Google Cloud SQL](https://www.g2.com/compare/amazon-aurora-vs-google-cloud-sql)
- [Amazon Aurora vs MongoDB Atlas](https://www.g2.com/compare/amazon-aurora-vs-mongodb-atlas)
- [Amazon Aurora vs Amazon DynamoDB](https://www.g2.com/compare/amazon-aurora-vs-amazon-web-services-aws-amazon-dynamodb)
- [Amazon Aurora vs SingleStore](https://www.g2.com/compare/amazon-aurora-vs-singlestore)
- [Amazon Aurora vs PostgreSQL](https://www.g2.com/compare/amazon-aurora-vs-postgresql)
- [Amazon Aurora vs Snowflake](https://www.g2.com/compare/amazon-aurora-vs-snowflake)
- [Amazon Aurora vs Microsoft SQL Server](https://www.g2.com/compare/amazon-aurora-vs-microsoft-sql-server)
- [Amazon Aurora vs MySQL](https://www.g2.com/compare/amazon-aurora-vs-mysql)

  ### 9. [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 CockroachDB, Microsoft SQL Server is:
- Slower to reach roi
- More expensive
- Better at meeting requirements
Categories in common with CockroachDB: [Database Management Systems (DBMS)](https://www.g2.com/categories/database-management-systems-dbms), [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [CockroachDB vs Microsoft SQL Server](https://www.g2.com/compare/cockroachdb-vs-microsoft-sql-server)
**Compare Microsoft SQL Server with other alternatives:**
- [Microsoft SQL Server vs YugabyteDB](https://www.g2.com/compare/microsoft-sql-server-vs-yugabytedb)
- [Microsoft SQL Server vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-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 Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-microsoft-sql-server)
- [Microsoft SQL Server vs SingleStore](https://www.g2.com/compare/microsoft-sql-server-vs-singlestore)
- [Microsoft SQL Server vs PostgreSQL](https://www.g2.com/compare/microsoft-sql-server-vs-postgresql)
- [Microsoft SQL Server vs Snowflake](https://www.g2.com/compare/microsoft-sql-server-vs-snowflake)
- [Microsoft SQL Server vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-microsoft-sql-server)
- [Microsoft SQL Server vs MySQL](https://www.g2.com/compare/microsoft-sql-server-vs-mysql)

  ### 10. [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 CockroachDB, MySQL is:
- Better at meeting requirements
Categories in common with CockroachDB: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [CockroachDB vs MySQL](https://www.g2.com/compare/cockroachdb-vs-mysql)
**Compare MySQL with other alternatives:**
- [MySQL vs YugabyteDB](https://www.g2.com/compare/mysql-vs-yugabytedb)
- [MySQL vs Google Cloud SQL](https://www.g2.com/compare/google-cloud-sql-vs-mysql)
- [MySQL vs MongoDB Atlas](https://www.g2.com/compare/mongodb-atlas-vs-mysql)
- [MySQL vs Amazon DynamoDB](https://www.g2.com/compare/amazon-web-services-aws-amazon-dynamodb-vs-mysql)
- [MySQL vs SingleStore](https://www.g2.com/compare/mysql-vs-singlestore)
- [MySQL vs PostgreSQL](https://www.g2.com/compare/mysql-vs-postgresql)
- [MySQL vs Snowflake](https://www.g2.com/compare/mysql-vs-snowflake)
- [MySQL vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-mysql)
- [MySQL vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-mysql)


---
## CockroachDB Alternatives FAQs

### Why do users choose YugabyteDB over CockroachDB?

Users choose [YugabyteDB](https://www.g2.com/products/yugabytedb/reviews) over CockroachDB primarily for its superior PostgreSQL compatibility, which simplifies migrations and reduces development effort, as reflected in its 9.2 score for meeting requirements versus CockroachDB's 8.7. YugabyteDB's distributed architecture provides robust horizontal scalability and high availability, enabling seamless multi-region deployments with strong consistency, which is critical for mission-critical and financial workloads. Its support rating of 9.5 surpasses CockroachDB's 9.0, underscoring the value users place on responsive assistance. Additionally, YugabyteDB's open-source, cloud-agnostic nature and support for a wide range of PostgreSQL extensions and foreign data wrappers offer greater flexibility and integration capabilities. Users also appreciate YugabyteDB's built-in observability tools and operational features that align well with site reliability engineering practices. Despite a steeper learning curve and higher operational complexity, users find the trade-off worthwhile for the enhanced performance, scalability, and reliability. Many switched to YugabyteDB to overcome CockroachDB's discontinued free editions and to gain more predictable performance at scale, better tuning control, and a broader feature set tailored to distributed SQL workloads.



### What are the best alternatives to CockroachDB?

The best alternatives to CockroachDB include [YugabyteDB](https://www.g2.com/products/yugabytedb/reviews) (4.5/5 stars, 64 reviews), [Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) (4.5/5 stars, 366 reviews), [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas/reviews) (4.5/5 stars, 371 reviews), and [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews) (4.4/5 stars, 530 reviews). These alternatives are favored for their scalability, ease of use, managed services, and integration capabilities.



### What features do alternatives offer that CockroachDB does not?

CockroachDB lacks some advanced PostgreSQL features such as procedural code support (PL/pgSQL), partitioning of GIN indexes, and certain array functions. It also has limited ecosystem support and consumer forums compared to alternatives. Some users note complexity in configuration, operational tuning, and a steep learning curve for distributed transactions and consistency models.



### Which Relational Databases tools do reviewers recommend instead of CockroachDB?

Reviewers recommend [YugabyteDB](https://www.g2.com/products/yugabytedb/reviews) for its strong PostgreSQL compatibility combined with horizontal scalability, high availability, and fault tolerance, making it ideal for distributed SQL workloads. [Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) is recommended for fully managed relational database needs with easy integration into Google Cloud services and reduced operational overhead. [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas/reviews) is preferred for flexible, schema-less NoSQL document storage with automated scaling and backups. [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews) is favored for serverless, highly scalable NoSQL workloads with consistent low latency and seamless AWS integration.



### How does CockroachDB compare to YugabyteDB?

According to G2, [CockroachDB](https://www.g2.com/products/cockroachdb/reviews) holds an average rating of 4.3/5 from 29 reviews, while [YugabyteDB](https://www.g2.com/products/yugabytedb/reviews) leads with a 4.5/5 rating across 64 reviews, indicating stronger overall user satisfaction. Dimension scores reveal that YugabyteDB outperforms CockroachDB in meeting requirements (9.2 vs 8.7) and support (9.5 vs 9.0), whereas CockroachDB scores higher in ease of setup (9.0 vs 8.6), ease of administration (9.1 vs 8.1), and ease of doing business (9.2 vs 8.8). Users praise CockroachDB for its automatic scaling, reliability, and SQL familiarity, highlighting its seamless integration with PostgreSQL-like environments and strong fault tolerance. Conversely, YugabyteDB is lauded for its high scalability, PostgreSQL compatibility, and robust high availability, with many users emphasizing its suitability for mission-critical, globally distributed applications. Both products face complexity challenges; CockroachDB users note a steep learning curve for configuration and optimization, while YugabyteDB users report operational complexity, especially in cluster management and performance tuning. Resource usage is higher for both, with YugabyteDB requiring more hardware resources in large deployments. CockroachDB uniquely offers data anonymization features not found in YugabyteDB. Overall, YugabyteDB is favored for advanced PostgreSQL compatibility and support, while CockroachDB excels in ease of setup and administration.




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