Best RDBMS Software

Google Cloud SQL provides an ideal platform for running Relational Database Management Systems (RDBMS) in the cloud. It offers fully-managed MySQL, PostgreSQL, and SQL Server databases, taking care of database maintenance tasks like patching, backups, and scaling. This allows users to focus on building their applications instead of managing complex database operations. Cloud SQL ensures high availability and strong performance for relational databases with automatic replication and failover. Additionally, new customers receive $300 in free credits to explore Google Cloud SQL and evaluate its capabilities for their RDBMS needs.

Teradata VantageCloud is a cloud-native RDBMS platform designed for enterprise-scale data management and analytics. It supports ANSI SQL and relational data models, enabling high-performance querying across structured and semi-structured data. VantageCloud runs on multi-cloud and hybrid environments, offering elastic scalability, workload management, and built-in support for advanced analytics and machine learning. Its open architecture ensures compatibility with industry-standard tools and formats, reducing vendor lock-in. Ideal for organizations needing a powerful, flexible RDBMS that goes beyond traditional storage to deliver real-time insights and operational intelligence.

RaimaDB is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS. Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments. RaimaDB is a high-performance, cross-platform embedded database designed for mission-critical applications, particularly in the Internet of Things (IoT) and edge computing markets. It offers a small footprint, making it suitable for resource-constrained environments, and supports both in-memory and persistent storage configurations. RaimaDB provides developers with multiple data modeling options, including traditional relational models and direct relationships through network model sets. It ensures data integrity with ACID-compliant transactions and supports various indexing methods such as B+Tree, Hash Table, R-Tree, and AVL-Tree.

Percona XtraDB Cluster (PXC) is a high availability, open-source, MySQL clustering solution that helps enterprises minimize unexpected downtime and data loss, reduce costs, and improve the performance and scalability of your database environments. PXC supports your critical business applications in the most demanding public, private, and hybrid cloud environments. Percona XtraDB Cluster (PXC) preserves, secures, and protects data and revenue streams by providing the highest level of availability for your business-critical applications. PXC helps you increase efficiency, eliminate license fees, and lower your total cost of investment, helping you meet budget constraints. Our integrated tools enable you to optimize, maintain, and monitor your cluster. This ensures you get the most out of your MySQL environment.

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administration tasks such as hardware provisioning, database setup, patching and backups. It frees you to focus on your applications so you can give them the fast performance, high availability, security and compatibility they need. Amazon RDS is available on several database instance types - optimized for memory, performance or I/O - and provides you with six familiar database engines to choose from, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. You can use the AWS Database Migration Service to easily migrate or replicate your existing databases to Amazon RDS.

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases. It provides the security, availability, and reliability of commercial databases at 1/10th the cost. Amazon Aurora is fully managed by Amazon Relational Database Service (RDS), which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups. Amazon Aurora features a distributed, fault-tolerant, self-healing storage system that auto-scales up to 64TB per database instance. It delivers high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones.

CUBRID is a relational DBMS optimized for online transaction processing (OLTP) that complies with ANSI SQL standards and provides MVCC support, High-Availability (HA) capabilities, and GUI-based tools for DB management/migration. It also provides Oracle/MySQL compatibility and supports a variety of interfaces, including JDBC. CUBRID provides ease of installation and native GUI-based administration tools for developers' convenience. Multi-threaded, multi-server architecture, native broker middleware, cost-based optimizer, and intensive caching techniques for your OLTP services. Very accurate predictable automatic fail-over built-in technology, based on the CUBRID Heartbeat native engine core. Multi-volume support, automatic volume expansion, and unlimited number and size of databases/ tables/indexes.

IBM Db2 is a family of data management products, including the Db2 relational database. The products feature AI-powered capabilities to help you modernize the management of both structured and unstructured data across on-premises and multicloud environments. By helping to make your data simple and accessible, the Db2 family positions your business to pursue the value of AI. Most of the Db2 family is available on the IBM Cloud Pak® for Data platform, either as an add-on or an included data source service, making virtually all of your data available across hybrid or multicloud environments to fuel your AI applications. Easily converge your transactional data stores and rapidly derive insights through universal, intelligent querying of data across disparate sources. Cut costs with the multimodel capability that eliminates the need for data replication and migration. Enhance agility by running Db2 on any cloud vendor.

Amazon ElastiCache allows you to seamlessly set up, run, and scale popular open-Source compatible in-memory data stores in the cloud. Build data-intensive apps or boost the performance of your existing databases by retrieving data from high throughput and low latency in-memory data stores. Amazon ElastiCache is a popular choice for real-time use cases like Caching, Session Stores, Gaming, Geospatial Services, Real-Time Analytics, and Queuing. Amazon ElastiCache offers fully managed Redis and Memcached for your most demanding applications that require sub-millisecond response times. Amazon ElastiCache works as an in-memory data store and cache to support the most demanding applications requiring sub-millisecond response times. By utilizing an end-to-end optimized stack running on customer-dedicated nodes, Amazon ElastiCache provides secure, blazing-fast performance.