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Create a unified data store for all data types
- Manage structured and processed unstructured data types in a single analytical framework
- Enhance security with transport layer, database, and column encryption, as well as LDAP and Kerberos authentication
- Support high availability with multiplex grid technology that mitigates node failures
Accelerate data loading
- Use fully parallel bulk data loading to take advantage of machines with high CPU core counts
- Execute concurrent loads into the same database table with a row-level versioned (RLV) store
- Get the software with the fastest loading and indexing of Big Data, as recognised by Guinness World Records
Reduce costs and improve performance
- Compress data efficiently with technologies such as column-store compression, optimised database page formats for variable-sized data, N-bit fast projection indexes, and improved I/O rates
- Lower costs with compression algorithms that reduce data storage volumes
Extend analytics across users and processes
- Scale to meet business needs with an expandable, grid-based, parallel processing architecture that offers shared-store and shared-nothing options
- Add nodes and share them easily with automatic resource balancing
- Manage self-service resource demands for thousands of users concurrently
Get quick answers to complex questions
- Process queries efficiently with a column-oriented, elastic grid-based, massively parallel processing architecture
- Get comprehensive answers from even petabyte-sized data sets
- Meet growing demand for insight with an extensible in-database analytics framework
Deploy flexibly, with low TCO
- Rely on standards-based software, including an open, flexible SQL-based platform that runs on commodity hardware
- Boost agility with a flexible licensing model for SAP ASE, SAP IQ, and SAP Replication Server
- Select licenses that adapt to peak periods or new business demands