# Top 10 YugabyteDB Alternatives & Competitors
**Average Rating:** 4.5/5
**Total Number of Reviews:** 65
YugabyteDB is not the only option for Relational Databases. Explore other competing options and alternatives. Relational Databases is a widely used technology, and many people are seeking top rated, quick software solutions with database monitoring, governance, and scalability. Other important factors to consider when researching alternatives to YugabyteDB include performance. The best overall YugabyteDB alternative is CockroachDB. Other similar apps like YugabyteDB are ScyllaDB, PostgreSQL, Amazon Aurora, and Snowflake. YugabyteDB 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 [Key Value Databases](https://www.g2.com/categories/key-value-databases).


## Best Paid & Free Alternatives to YugabyteDB
  - [CockroachDB](https://www.g2.com/products/cockroachdb/reviews)
  - [ScyllaDB](https://www.g2.com/products/scylladb/reviews)
  - [PostgreSQL](https://www.g2.com/products/postgresql/reviews)
  - [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews)
  - [Snowflake](https://www.g2.com/products/snowflake/reviews)
  - [MySQL](https://www.g2.com/products/mysql/reviews)
  - [Oracle Database](https://www.g2.com/products/oracle-database/reviews)
  - [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews)
  - [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas/reviews)
  - [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)

## Top 10 Alternatives to YugabyteDB Recently Reviewed By G2 Community
Browse options below. Based on reviewer data, you can see how YugabyteDB stacks up to the competition, check reviews from current & previous users in industries like Financial Services, Computer & Network Security, and Banking, and find the best product for your business.


  ### 1. [CockroachDB](https://www.g2.com/products/cockroachdb/reviews)
By Cockroach Labs
**Average Rating:** 4.3/5
**Total Reviews:** 29
CockroachDB is the resilient, globally distributed SQL database enterprises worldwide trust to run mission-critical AI and other applications that scale fast, avert and survive disaster, and thrive everywhere. It runs on the Big 3 public clouds, in private clouds, on prem, and in hybrid configurations powering Fortune 500, Forbes Global 2000, and Inc. 5000 brands, and game-changing AI innovators. Cockroach Labs has 600+ customers including 75+ with revenue $1B+, in 40+ countries and 25+ verticals, and across 30+ use cases. CockroachDB offers and supports Vector, RAG, and GenAI workloads; C-SPANN Distributed Indexing; Machine Learning and Apache Spark Integration; PostgreSQL Compatibility and JSON; Geospatial and Graph Capabilities; Analytics, BI, and Integration; and MOLT AI-Powered Migration. Cockroach Labs operates its own ISV Partner Ecosystem powering Payments, Identity Management (IDM/IAM), Banking & Wallet, Trading, and other high-demand use cases. Cockroach Labs holds AWS Competency Partner Certifications in Generative AI, Data & Analytics, and Financial Services.


Reviewers say compared to YugabyteDB, CockroachDB is:
- Slower to reach roi
- Easier to admin
- Easier to set up
Categories in common with YugabyteDB: [Database as a Service (DBaaS)](https://www.g2.com/categories/database-as-a-service-dbaas), [Relational Databases](https://www.g2.com/categories/relational-databases), [Database Management Systems (DBMS)](https://www.g2.com/categories/database-management-systems-dbms)

**Compare:** [YugabyteDB vs CockroachDB](https://www.g2.com/compare/cockroachdb-vs-yugabytedb)
**Compare CockroachDB with other alternatives:**
- [CockroachDB vs ScyllaDB](https://www.g2.com/compare/cockroachdb-vs-scylladb)
- [CockroachDB vs PostgreSQL](https://www.g2.com/compare/cockroachdb-vs-postgresql)
- [CockroachDB vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-cockroachdb)
- [CockroachDB vs Snowflake](https://www.g2.com/compare/cockroachdb-vs-snowflake)
- [CockroachDB vs MySQL](https://www.g2.com/compare/cockroachdb-vs-mysql)
- [CockroachDB vs Oracle Database](https://www.g2.com/compare/cockroachdb-vs-oracle-database)
- [CockroachDB vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-cockroachdb)
- [CockroachDB vs MongoDB Atlas](https://www.g2.com/compare/cockroachdb-vs-mongodb-atlas)
- [CockroachDB vs Microsoft SQL Server](https://www.g2.com/compare/cockroachdb-vs-microsoft-sql-server)

  ### 2. [ScyllaDB](https://www.g2.com/products/scylladb/reviews)
By ScyllaDB
**Average Rating:** 4.5/5
**Total Reviews:** 429
Manage terabytes to petabytes of digital information with millions of read/write operations and msec P99 response. Our high availability architecture takes full advantage of modern infrastructure and networking capabilities. This translates to dramatically higher throughput and lower latency--eliminating barriers to scale.


Reviewers say compared to YugabyteDB, ScyllaDB is:
- Slower to reach roi
- Easier to admin
- More expensive
Categories in common with YugabyteDB: [Wide Column Database](https://www.g2.com/categories/wide-column-database), [Database as a Service (DBaaS)](https://www.g2.com/categories/database-as-a-service-dbaas)

**Compare:** [YugabyteDB vs ScyllaDB](https://www.g2.com/compare/scylladb-vs-yugabytedb)
**Compare ScyllaDB with other alternatives:**
- [ScyllaDB vs CockroachDB](https://www.g2.com/compare/cockroachdb-vs-scylladb)
- [ScyllaDB vs PostgreSQL](https://www.g2.com/compare/postgresql-vs-scylladb)
- [ScyllaDB vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-scylladb)
- [ScyllaDB vs Snowflake](https://www.g2.com/compare/scylladb-vs-snowflake)
- [ScyllaDB vs MySQL](https://www.g2.com/compare/mysql-vs-scylladb)
- [ScyllaDB vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-scylladb)
- [ScyllaDB vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-scylladb)
- [ScyllaDB vs MongoDB Atlas](https://www.g2.com/compare/mongodb-atlas-vs-scylladb)
- [ScyllaDB vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-scylladb)

  ### 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 YugabyteDB, PostgreSQL is:
- Easier to admin
Categories in common with YugabyteDB: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [YugabyteDB vs PostgreSQL](https://www.g2.com/compare/postgresql-vs-yugabytedb)
**Compare PostgreSQL with other alternatives:**
- [PostgreSQL vs CockroachDB](https://www.g2.com/compare/cockroachdb-vs-postgresql)
- [PostgreSQL vs ScyllaDB](https://www.g2.com/compare/postgresql-vs-scylladb)
- [PostgreSQL vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-postgresql)
- [PostgreSQL vs Snowflake](https://www.g2.com/compare/postgresql-vs-snowflake)
- [PostgreSQL vs MySQL](https://www.g2.com/compare/mysql-vs-postgresql)
- [PostgreSQL vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-postgresql)
- [PostgreSQL vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-postgresql)
- [PostgreSQL vs MongoDB Atlas](https://www.g2.com/compare/mongodb-atlas-vs-postgresql)
- [PostgreSQL vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-postgresql)

  ### 4. [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 YugabyteDB, Amazon Aurora is:
- Easier to admin
- More expensive
- Easier to set up
Categories in common with YugabyteDB: [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:** [YugabyteDB vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-yugabytedb)
**Compare Amazon Aurora with other alternatives:**
- [Amazon Aurora vs CockroachDB](https://www.g2.com/compare/amazon-aurora-vs-cockroachdb)
- [Amazon Aurora vs ScyllaDB](https://www.g2.com/compare/amazon-aurora-vs-scylladb)
- [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 MySQL](https://www.g2.com/compare/amazon-aurora-vs-mysql)
- [Amazon Aurora vs Oracle Database](https://www.g2.com/compare/amazon-aurora-vs-oracle-database)
- [Amazon Aurora vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-aurora-vs-amazon-relational-database-service-rds)
- [Amazon Aurora vs MongoDB Atlas](https://www.g2.com/compare/amazon-aurora-vs-mongodb-atlas)
- [Amazon Aurora vs Microsoft SQL Server](https://www.g2.com/compare/amazon-aurora-vs-microsoft-sql-server)

  ### 5. [Snowflake](https://www.g2.com/products/snowflake/reviews)
By Snowflake, Inc.
**Average Rating:** 4.5/5
**Total Reviews:** 763
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 YugabyteDB, Snowflake is:
- Easier to admin
- Easier to set up
- Easier to do business with
Categories in common with YugabyteDB: [Database Management Systems (DBMS)](https://www.g2.com/categories/database-management-systems-dbms)

**Compare:** [YugabyteDB vs Snowflake](https://www.g2.com/compare/snowflake-vs-yugabytedb)
**Compare Snowflake with other alternatives:**
- [Snowflake vs CockroachDB](https://www.g2.com/compare/cockroachdb-vs-snowflake)
- [Snowflake vs ScyllaDB](https://www.g2.com/compare/scylladb-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 MySQL](https://www.g2.com/compare/mysql-vs-snowflake)
- [Snowflake vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-snowflake)
- [Snowflake vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-snowflake)
- [Snowflake vs MongoDB Atlas](https://www.g2.com/compare/mongodb-atlas-vs-snowflake)
- [Snowflake vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-snowflake)

  ### 6. [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 YugabyteDB, MySQL is:
- Easier to admin
- Easier to set up
Categories in common with YugabyteDB: [Relational Databases](https://www.g2.com/categories/relational-databases)

**Compare:** [YugabyteDB vs MySQL](https://www.g2.com/compare/mysql-vs-yugabytedb)
**Compare MySQL with other alternatives:**
- [MySQL vs CockroachDB](https://www.g2.com/compare/cockroachdb-vs-mysql)
- [MySQL vs ScyllaDB](https://www.g2.com/compare/mysql-vs-scylladb)
- [MySQL vs PostgreSQL](https://www.g2.com/compare/mysql-vs-postgresql)
- [MySQL vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-mysql)
- [MySQL vs Snowflake](https://www.g2.com/compare/mysql-vs-snowflake)
- [MySQL vs Oracle Database](https://www.g2.com/compare/mysql-vs-oracle-database)
- [MySQL vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-mysql)
- [MySQL vs MongoDB Atlas](https://www.g2.com/compare/mongodb-atlas-vs-mysql)
- [MySQL vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-mysql)

  ### 7. [Oracle Database](https://www.g2.com/products/oracle-database/reviews)
By Oracle
**Average Rating:** 4.3/5
**Total Reviews:** 1,019
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 YugabyteDB, Oracle Database is:
- Slower to reach roi
- More expensive
Categories in common with YugabyteDB: [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:** [YugabyteDB vs Oracle Database](https://www.g2.com/compare/oracle-database-vs-yugabytedb)
**Compare Oracle Database with other alternatives:**
- [Oracle Database vs CockroachDB](https://www.g2.com/compare/cockroachdb-vs-oracle-database)
- [Oracle Database vs ScyllaDB](https://www.g2.com/compare/oracle-database-vs-scylladb)
- [Oracle Database vs PostgreSQL](https://www.g2.com/compare/oracle-database-vs-postgresql)
- [Oracle Database vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-oracle-database)
- [Oracle Database vs Snowflake](https://www.g2.com/compare/oracle-database-vs-snowflake)
- [Oracle Database vs MySQL](https://www.g2.com/compare/mysql-vs-oracle-database)
- [Oracle Database vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-oracle-database)
- [Oracle Database vs MongoDB Atlas](https://www.g2.com/compare/mongodb-atlas-vs-oracle-database)
- [Oracle Database vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-oracle-database)

  ### 8. [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 YugabyteDB, Amazon Relational Database Service (RDS) is:
- Slower to reach roi
- Easier to admin
- Easier to set up
Categories in common with YugabyteDB: [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:** [YugabyteDB vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-yugabytedb)
**Compare Amazon Relational Database Service (RDS) with other alternatives:**
- [Amazon Relational Database Service (RDS) vs CockroachDB](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-cockroachdb)
- [Amazon Relational Database Service (RDS) vs ScyllaDB](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-scylladb)
- [Amazon Relational Database Service (RDS) vs PostgreSQL](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-postgresql)
- [Amazon Relational Database Service (RDS) vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-amazon-relational-database-service-rds)
- [Amazon Relational Database Service (RDS) vs Snowflake](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-snowflake)
- [Amazon Relational Database Service (RDS) vs MySQL](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-mysql)
- [Amazon Relational Database Service (RDS) vs Oracle Database](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-oracle-database)
- [Amazon Relational Database Service (RDS) vs MongoDB Atlas](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-mongodb-atlas)
- [Amazon Relational Database Service (RDS) vs Microsoft SQL Server](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-microsoft-sql-server)

  ### 9. [MongoDB Atlas](https://www.g2.com/products/mongodb-atlas/reviews)
By MongoDB
**Average Rating:** 4.5/5
**Total Reviews:** 900
MongoDB Atlas empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.


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

**Compare:** [YugabyteDB vs MongoDB Atlas](https://www.g2.com/compare/mongodb-atlas-vs-yugabytedb)
**Compare MongoDB Atlas with other alternatives:**
- [MongoDB Atlas vs CockroachDB](https://www.g2.com/compare/cockroachdb-vs-mongodb-atlas)
- [MongoDB Atlas vs ScyllaDB](https://www.g2.com/compare/mongodb-atlas-vs-scylladb)
- [MongoDB Atlas vs PostgreSQL](https://www.g2.com/compare/mongodb-atlas-vs-postgresql)
- [MongoDB Atlas vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-mongodb-atlas)
- [MongoDB Atlas vs Snowflake](https://www.g2.com/compare/mongodb-atlas-vs-snowflake)
- [MongoDB Atlas vs MySQL](https://www.g2.com/compare/mongodb-atlas-vs-mysql)
- [MongoDB Atlas vs Oracle Database](https://www.g2.com/compare/mongodb-atlas-vs-oracle-database)
- [MongoDB Atlas vs Amazon Relational Database Service (RDS)](https://www.g2.com/compare/amazon-relational-database-service-rds-vs-mongodb-atlas)
- [MongoDB Atlas vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-mongodb-atlas)

  ### 10. [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews)
By Microsoft
**Average Rating:** 4.4/5
**Total Reviews:** 2,286
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 YugabyteDB, Microsoft SQL Server is:
- Slower to reach roi
- More expensive
- Easier to admin
Categories in common with YugabyteDB: [Relational Databases](https://www.g2.com/categories/relational-databases), [Database Management Systems (DBMS)](https://www.g2.com/categories/database-management-systems-dbms)

**Compare:** [YugabyteDB vs Microsoft SQL Server](https://www.g2.com/compare/microsoft-sql-server-vs-yugabytedb)
**Compare Microsoft SQL Server with other alternatives:**
- [Microsoft SQL Server vs CockroachDB](https://www.g2.com/compare/cockroachdb-vs-microsoft-sql-server)
- [Microsoft SQL Server vs ScyllaDB](https://www.g2.com/compare/microsoft-sql-server-vs-scylladb)
- [Microsoft SQL Server vs PostgreSQL](https://www.g2.com/compare/microsoft-sql-server-vs-postgresql)
- [Microsoft SQL Server vs Amazon Aurora](https://www.g2.com/compare/amazon-aurora-vs-microsoft-sql-server)
- [Microsoft SQL Server vs Snowflake](https://www.g2.com/compare/microsoft-sql-server-vs-snowflake)
- [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 MongoDB Atlas](https://www.g2.com/compare/microsoft-sql-server-vs-mongodb-atlas)


---
## YugabyteDB Alternatives FAQs

### How does YugabyteDB compare to CockroachDB?

According to G2, [YugabyteDB](https://www.g2.com/products/yugabytedb/reviews) holds a higher average rating of 4.5/5 across 65 reviews compared to CockroachDB's 4.3/5 from 29 reviews, indicating stronger overall user satisfaction. YugabyteDB scores 9.2 in meeting requirements versus CockroachDB's 8.7, a 0.5-point lead in usability (9.0 vs 8.9), and 0.6 points higher in support (9.5 vs 9.0). CockroachDB leads YugabyteDB by 0.5 points in Ease of Admin (9.1 vs 8.6) and 0.4 points in Ease of Setup (9.0 vs 8.6), reflecting its strengths in deployment and management. Users praise YugabyteDB for its superior PostgreSQL compatibility, high availability, linear scalability, and strong ACID compliance, which facilitate seamless migrations and robust transactional workloads. It also offers native sharding, multi-region support, and a growing open-source community. Conversely, CockroachDB is recognized for its simplicity in scaling, automatic sharding, and resilience with minimal operational overhead, making it appealing for teams prioritizing ease of administration. However, YugabyteDB users note higher operational complexity and resource requirements due to its distributed architecture, while CockroachDB users highlight a steeper learning curve for advanced configurations and some feature limitations. Overall, YugabyteDB excels in feature richness and support, whereas CockroachDB offers advantages in ease of administration and setup.



### What are the best alternatives to YugabyteDB?

The best alternatives to YugabyteDB include [CockroachDB](https://www.g2.com/products/cockroachdb/reviews) (4.3/5 stars, 29 reviews), [ScyllaDB](https://www.g2.com/products/scylladb/reviews) (4.5/5 stars, 427 reviews), [PostgreSQL](https://www.g2.com/products/postgresql/reviews) (4.4/5 stars, 682 reviews), and [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews) (4.5/5 stars, 457 reviews). These alternatives are favored for their scalability, performance, ease of administration, and extensive feature sets. ScyllaDB is noted for its exceptional performance and low latency at scale, CockroachDB for its resilient distributed SQL capabilities and PostgreSQL compatibility, PostgreSQL for its reliability and extensibility, and Amazon Aurora for its managed service model with high availability and automatic scaling.



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

CockroachDB and ScyllaDB offer native data anonymization features that YugabyteDB lacks. Additionally, YugabyteDB does not fully support some advanced PostgreSQL features and extensions, which are available in PostgreSQL itself.



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

Reviewers recommend [PostgreSQL](https://www.g2.com/products/postgresql/reviews) as a relational database alternative to YugabyteDB due to its ease of administration, reliability, and rich feature set. [CockroachDB](https://www.g2.com/products/cockroachdb/reviews) is also recommended for users seeking easier setup and administration with strong distributed SQL capabilities. [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews) is favored for its ease of setup, administration, and managed service benefits, especially for users invested in the AWS ecosystem. [ScyllaDB](https://www.g2.com/products/scylladb/reviews) is recommended for workloads requiring high performance, low latency, and efficient hardware utilization, although it is more expensive and has a steeper learning curve.



### Why do users choose CockroachDB over YugabyteDB?

Users choose [CockroachDB](https://www.g2.com/products/cockroachdb/reviews) over YugabyteDB primarily for its superior ease of administration and setup, as reflected in its 0.5-point lead in Ease of Admin (9.1 vs 8.6) and 0.4-point lead in Ease of Setup (9.0 vs 8.6) on G2. CockroachDB's automatic scaling, fault tolerance, and serverless cloud options reduce operational complexity and management overhead, appealing to teams seeking a more hands-off distributed SQL experience. Its pay-as-you-go pricing model and ability to spin up isolated clusters cost-effectively support flexible development and testing workflows. Additionally, users appreciate CockroachDB's reliable data replication and failover mechanisms that maintain high availability with minimal manual intervention. The platform's strong documentation and developer-friendly SQL interface facilitate onboarding and ease of use. While CockroachDB may have a steeper learning curve for advanced features, its focus on simplifying distributed database operations and reducing administrative burdens makes it a preferred choice for organizations prioritizing operational simplicity and cost-effective scalability.




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