CockroachDB:
- Unique Problem Solved: Distributed SQL database for cloud-native applications requiring high availability and strong consistency.
- Proven Use Cases: Used by companies like Comcast and Bose for applications needing global distribution and resilience.
- Reliability: Provides strong consistency and high availability with automatic sharding and replication. Designed to handle datacenter outages without manual intervention.
SQLite:
- Unique Problem Solved: Lightweight, embedded database for local storage.
- Proven Use Cases: Used in mobile apps, desktop applications, and small web applications, such as Firefox, Skype, and Android devices.
- Reliability: Known for its simplicity, minimal setup, and ability to operate without a separate server process, making it highly portable and easy to deploy.
MariaDB:
- Unique Problem Solved: Community-driven fork of MySQL with enhanced features.
- Proven Use Cases: Used by Wikipedia, WordPress.com, and Google. Designed as a drop-in replacement for MySQL with additional storage engines and improved performance.
- Reliability: Offers robust transactional support, improved performance, and high availability. Known for its active community and regular updates.
IBM Db2:
- Unique Problem Solved: High-performance, enterprise-grade database management for large-scale data environments.
- Proven Use Cases: Used by large enterprises, especially in financial services, healthcare, and government sectors. Major users include banks and insurance companies.
- Reliability: Known for its high performance, scalability, and advanced analytics capabilities. Features in-memory computing, BLU Acceleration, and support for hybrid data management.
Amazon Aurora:
- Unique Problem Solved: Cloud-optimized relational database compatible with MySQL and PostgreSQL.
- Proven Use Cases: Utilized by companies using AWS services, such as Airbnb, Hulu, and Samsung. Designed for high performance and availability in a cloud-native environment.
- Reliability: Provides automatic scaling, replication, and backup. Designed for high durability and availability, with features like fault-tolerant storage and automatic failover.
SAP HANA:
- Unique Problem Solved: In-memory database optimized for real-time analytics and high-speed transactions.
- Proven Use Cases: Used by enterprises requiring real-time data processing and analytics, such as manufacturing, retail, and finance. Notable users include Siemens, Adidas, and Lenovo.
- Reliability: Offers extremely fast data processing due to its in-memory architecture. Supports advanced analytics, including predictive analytics and machine learning, directly within the database.
These databases are chosen for their unique capabilities, reliability, and proven track records in various applications and industries.