Statements (58)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Database
|
| gptkbp:benefits |
IoT applications
High-frequency trading Gaming applications |
| gptkbp:can_be |
Multi-user environments
Volatile or non-volatile |
| gptkbp:hasLength |
Horizontally
Vertically |
| https://www.w3.org/2000/01/rdf-schema#label |
In-Memory Database
|
| gptkbp:is_accessible_by |
NoSQL queries
SQL_queries |
| gptkbp:is_characterized_by |
Data stored in memory
|
| gptkbp:is_designed_to |
High performance
|
| gptkbp:is_evaluated_by |
Performance metrics
Cost-effectiveness Scalability metrics |
| gptkbp:is_integrated_with |
Big data technologies
|
| gptkbp:is_recognized_for |
gptkb:SAP_HANA
Redis Memcached Apache Ignite Oracle_TimesTen |
| gptkbp:is_used_in |
Cloud computing
Financial services Machine learning NoSQL databases Supply chain management Telecommunications Business intelligence Caching Data analytics Data warehousing Low latency Real-time applications Social media platforms Session management Data synchronization Fraud detection Recommendation systems Log analysis Customer relationship management (CRM) High throughput Traditional databases E-commerce applications Columnar databases Disk-based databases Healthcare_applications |
| gptkbp:isFacilitatedBy |
Large datasets
|
| gptkbp:isUsedFor |
Data lakes
|
| gptkbp:performance |
Specific workloads
|
| gptkbp:provides |
Real-time insights
Faster data access |
| gptkbp:reduces |
Disk I/O
|
| gptkbp:security |
Encryption
Access controls |
| gptkbp:suitableFor |
Analytics
|
| gptkbp:supports |
ACID_transactions
|
| gptkbp:uses |
RAM
|