Key Features and Benefits
Features
- Massively parallel SQL processing
Advanced algorithms construct and execute optimized parallel query plans to fully leverage cluster-wide computing resources
- Hardware and OS flexibility
Software is easily installed on widely available x86-based servers from a wide variety of vendors, and runs on both Linux and Solaris
- Linear scalability
Shared-nothing architecture and parallel query optimization ensure that performance and capacity increase linearly as nodes are added to the cluster
- Dynamic Provisioning
Allows companies to easily add data warehouse capacity in small or large increments, and avoid costly appliance or SMP server upgrades.
- Advanced interconnect technology
Utilizes pipelining techniques and redistributes data among nodes for high performance execution of complex joins
- Centralized administration
Unified management console and powerful utilities provide easy management of the cluster via single system image
- Advanced replication
Cyclical segment replication and automated failover
- Industry standard interfaces
Supports standard database interfaces (SQL, ODBC, JDBC, DBI) and is interoperable with market-leading business intelligence and extract/transform/load tools
- High-throughput, parallel loader
High-performance parallel data loader executing across simultaneously across all cluster nodes facilitates quick access to warehouse updates
Benefits
Faster performance
Performs 10 to 50 times faster than traditional data warehouse technologies
Real-time analytics
Enables sophisticated queries and ad-hoc analysis with multiple terabytes of data
Dramatic cost reduction
Runs on commodity hardware, leverages open source technologies, and costs a fraction of existing solutions
Flexibility and Control
Allows customers to maintain control over the choice of hardware and operating system, and add capacity and performance inexpensively
Easy management
Centralized cluster management and administration simplifies operations and provides lower TCO
Enterprise class reliability
Multiple levels of redundancy and fail-over minimize downtime
Linear scalability and flexibility
Modular scale-out capability allows for predictable, linear performance gains and capacity growth
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