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SAP Adaptive Server Enterprise (SAP ASE)SAP

SAP ASE is a relational database server. Drive faster, more reliable online transaction processing (OLTP) for less with SAP ASE, relational database management server for SAP Business Technology Platform.

Vendor

Vendor

SAP

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Company Website

Product details

Modernize and accelerate your transaction-based applications on premises and in the cloud. - Deploy on premises and on an infrastructure as a service (IaaS) - Deliver high performance and availability to process mission-critical transactions - Provide a proven, flexible SQL database system to reduce risk and increase agility - Lower operational costs with a resource-efficient relational database server

Key benefits Improved performance for transaction processing - Access active data faster - Eliminate read-and-write conflicts with multiversion concurrency control - Access unique index keys to scale highly concurrent environments Business continuity and data security - Standardize and secure SSL implementations with a common crypto library - Encrypt sensitive commands and passwords on demand - Reduce records with granular audits Various deployment options for innovation - Support SQL scripts to develop a common dialect across SAP database platforms - Enhance compatibility between SAP ASE and SAP HANA with an in-context session

SAP ASE Features Increase performance and accelerate transactional processing with enhanced technology innovations. XOLTP - Improve transaction processing efficiency - Support a high-performance, low-latency XOLTP engine - Enable application compatibility for snapshot isolation - Apply capabilities of modern multicore computing platforms Encryption - Protect your business data from unplanned downtime and breaches - Support granular, native data encryption - Keep your service levels consistent by securing your data - Compress relational and unstructured data to improve the performance of your RDBMS MemScale - Speed response times with the latest memory architecture - Accelerate query execution with higher concurrency and lower contention - Access often-used data quickly with cost-effective storage management - Enable low latency, persistency, and caching granularity for critical data Partitions - Divide large data volumes into smaller pieces across your RDBMS - Enable users to access and analyze specific data groups for faster insights - Accelerate transaction processing by turning massive volumes of data into easy-to-consume data groups Workload profiler - Adopt relevant and cost-effective features - Understand the impact of in-memory row storage, differential reference codes, MVCC, and on-disk MVCC for existing applications - Analyze archived information to give recommendations on the profiled feature - Reconfigure the targeted server based accordingly Workload analyzer - Optimize performance through workload analysis - Capture, analyze, and replay production workloads - Assess the impact of configuration changes on application performance quickly, without disruption - Refine applications based on real-life workload diagnostics

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