Oracle Real Application Clusters (RAC) Description
Oracle Real Application Clusters (RAC) represents a distinctive and highly available database architecture designed for scaling both reads and writes seamlessly across diverse workloads such as OLTP, analytics, AI data, SaaS applications, JSON, batch processing, text, graph data, IoT, and in-memory operations. It can handle intricate applications with ease, including those from SAP, Oracle Fusion Applications, and Salesforce, while providing exceptional performance. By utilizing a unique fused cache across servers, Oracle RAC ensures the fastest local data access, delivering the lowest latency and highest throughput for all data requirements. The system's ability to parallelize workloads across CPUs maximizes throughput, and Oracle's innovative storage design facilitates effortless online storage expansion. Unlike many databases that rely on public cloud infrastructure, sharding, or read replicas for enhancing scalability, Oracle RAC stands out by offering superior performance with minimal latency and maximum throughput straight out of the box. Furthermore, this architecture is designed to meet the evolving demands of modern applications, making it a future-proof choice for organizations.
Oracle Real Application Clusters (RAC) Alternatives
DbVisualizer is a universal database client for anyone who works with data, from indie developers and startups to professional teams managing complex database environments, including developers, DBAs, analysts, and data engineers working across relational and NoSQL databases.
Key features:
- SQL editor with intelligent autocomplete, visual query builders, variables, and execution tools
- AI Assistant for answering questions, explaining errors, and analyzing code
- Git integration for managing SQL scripts and team collaboration
- Customizable layouts, key bindings, and UI themes
- Favorites for frequently used scripts and database objects
- Configurable security settings for organizational requirements
Connects via JDBC to MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, SQLite, Cassandra, BigQuery, and more. Runs on Windows, macOS, and Linux.
Nearly 7 million downloads, with Pro users in 150 countries, scaling from solo projects to enterprise database management.
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Dragonfly serves as a seamless substitute for Redis, offering enhanced performance while reducing costs. It is specifically engineered to harness the capabilities of contemporary cloud infrastructure, catering to the data requirements of today’s applications, thereby liberating developers from the constraints posed by conventional in-memory data solutions. Legacy software cannot fully exploit the advantages of modern cloud technology. With its optimization for cloud environments, Dragonfly achieves an impressive 25 times more throughput and reduces snapshotting latency by 12 times compared to older in-memory data solutions like Redis, making it easier to provide the immediate responses that users demand. The traditional single-threaded architecture of Redis leads to high expenses when scaling workloads. In contrast, Dragonfly is significantly more efficient in both computation and memory usage, potentially reducing infrastructure expenses by up to 80%. Initially, Dragonfly scales vertically, only transitioning to clustering when absolutely necessary at a very high scale, which simplifies the operational framework and enhances system reliability. Consequently, developers can focus more on innovation rather than infrastructure management.
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Oracle NoSQL Database
Oracle NoSQL Database is specifically engineered to manage applications that demand high data throughput and quick response times, along with adaptable data structures. It accommodates various data types including JSON, tables, and key-value formats, and functions in both on-premises installations and cloud environments. The database is designed to scale dynamically in response to fluctuating workloads, offering distributed storage across multiple shards to guarantee both high availability and swift failover capabilities. With support for programming languages such as Python, Node.js, Java, C, and C#, as well as REST API drivers, it simplifies the development process for applications. Furthermore, it seamlessly integrates with other Oracle products like IoT, Golden Gate, and Fusion Middleware, enhancing its utility. The Oracle NoSQL Database Cloud Service is a completely managed solution, allowing developers to concentrate on creating applications without the burden of managing backend infrastructure. This service eliminates the complexities associated with infrastructure management, enabling teams to innovate and deploy solutions more efficiently.
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ScaleGrid
ScaleGrid is a fully managed Database-as-a-Service (DBaaS) platform that helps you automate your time-consuming database administration tasks both in the cloud and on-premises. ScaleGrid makes it easy to provision, monitor, backup, and scale open-source databases. It offers advanced security, high availability, query analysis, and troubleshooting support to improve your deployments' performance. The following databases are supported:
- MySQL
- PostgreSQL
- Redis™.
- MongoDB®, database
- Greenplum™ (coming soon)
ScaleGrid supports both public and privately-owned clouds such as AWS, Azure and Google Cloud Platform (GCP), DigitalOcean and Linode, Oracle Cloud Infrastructure, (OCI), VMware, and OpenStack. ScaleGrid is used by thousands of developers, startups, as well as enterprise customers such as Accenture, Meteor and Atlassian. It handles all your database operations at any scale, so you can concentrate on your application performance.
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Pricing
Free Trial:
Yes
Integrations
Company Details
Company:
Oracle
Year Founded:
1977
Headquarters:
United States
Website:
www.oracle.com/database/real-application-clusters/
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Oracle Real Application Clusters (RAC) Features and Options
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