Database Report
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This document compares the scalability, performance, partitioning, availability, and manageability of IBM DB2 and Oracle databases. It discusses that IBM DB2 can scale to 512 TB of data in a traditional cluster, while Oracle allows for unlimited scaling in a Real Application Cluster across geographically dispersed nodes. For performance, it shows that IBM DB2 outperforms Oracle on TPC-C and TPC-H benchmarks at large scale factors of 3000GB, 10000GB, and 30000GB, though Oracle holds the world record at 30000GB. It also outlines advantages and disadvantages of data partitioning for performance. For availability, it notes that Oracle allows for hot plugging of nodes and warm cache failover, while IBM DB2
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Database Report
- 1. ScalabilityIBM DB2512 TB of DataTraditional ClusterOracle DatabaseUnlimitedReal Application ClusterGeographically DispersedHeterogeneous NetworkNodes don’t trust each other
- 2. PerformanceTransaction Processing Council (TPC)TPC-C : OLTP BenchmarkTransactionsOrder Entry EnvironmentTPC-H : Decision Support BenchmarkBusiness Oriented Ad-Hoc QueriesConcurrent Data ModificationLarge volume of dataHigh Degree, Complex Query Execution
- 3. PerformanceTPC-CIBM DB2 Wins over Oracle*TPC-HScale factor : 3000 GBOracle 3x faster than IBM DB2 (Cluster)Scale factor : 10,000 GBIBM DB2 over powers Oracle*Scale factor: 30,000 GBOracle holds World Record!
- 5. Performance - PartitioningAdvantagesImproves PerformanceReduced Storage CostsAged Data : Inexpensive DisksCurrent Data : Fast Access DiskFast Recovery : Affected Partition needs to be recoveredDisadvantagesDatabase Architect DependentRedistribution of dataLow utilization of resources
- 6. AvailabilityIBM DB2Requires RebootFailover to instanceNew Instance / Cold CacheLoad given to existing nodeHADR : Add-On ModuleNANAOracle DatabaseHot Plug NodesFailover To instance With Warm cacheRAC : Load BalancingRMAN : Integral partFlashback recoveryRolling Window support
- 7. ManageabilityEdison GroupDecember 2006Comparative Management Cost Study