2024從傳統(tǒng)數(shù)據(jù)庫到云數(shù)據(jù)庫的演進(jìn)

目錄CONTENTS目錄CONTENTS

IBMDB2SQLServer1980-

1990–

SybaseIQ1990–

SAPHana2000–

AWSAurora,RedshiftAzureSQLDatabaseGoogleSpanner2010–結(jié)構(gòu)化數(shù)據(jù)在線處 海量數(shù)據(jù)計(jì)算與分

[SQL+OLTP

DatawarehouseDataCube[ETL+OLAP

[Multi-Model+HTAPDB-Engines(357&& 在線業(yè)務(wù) 分析業(yè)務(wù)數(shù)據(jù)庫生產(chǎn)/處理由量變走向質(zhì)變（預(yù)判生產(chǎn)生產(chǎn)/2020

水平拓展,scale兼容性,scaleDB=cpu+DB=cpu+目錄CONTENTS目錄CONTENTS“The“Therealbattlewillbein “HowAmazonWebServicesaimstowincloudcomputing’snextbigbattle” “AWStoOracle:Nowit'sourturnandwegotOracle、Google、Amazon、Apple、Microsoft、IBM、Facebook、SAP|

Gartner2019Market1st,Market1st,AsiaPacific3rd,Gartner2019Challenger（挑戰(zhàn)者從AliSQL到

OracleDevOPSDBDataLakeDataLakePolarDB-DAS數(shù)據(jù)庫自治服務(wù)（自動(dòng)駕駛AliSQL-AliSQL-CloudNative數(shù)據(jù)庫，基于共享存儲(chǔ)計(jì)算分CDDCCDDC

OLAP:

NoSQLIoT(時(shí)序、寬表、日志、事件10

、、開箱即 更 更 更安

性能至少提升

（面向DLA&DAS（DatabaseAutonomy云原生關(guān)系型數(shù)據(jù)庫PolarDB 只讀實(shí)例只讀實(shí)例只讀實(shí)例100%MySQL5.6,5.7and100%PostgreSQL高度兼容515分鐘Scale用戶態(tài)I/Ostack+NVM+基于Redolog

一寫多讀的主備節(jié)點(diǎn)架構(gòu)（最多10只讀節(jié)點(diǎn)RWRO主備節(jié)點(diǎn)共享一份數(shù)據(jù)[數(shù)據(jù)+redoROredolog的replay

云原生數(shù)據(jù)倉(cāng)庫AnalyticDBforHighSpeedHighSpeed計(jì)算引擎智能優(yōu)化?一體化??兼容兼容高度兼容目錄CONTENTS目錄CONTENTSIT

通過IoT云和恩墨，新炬,DSG,駐云，袋鼠云….POC云和恩墨，新炬,DSG,駐云，袋鼠云….POCOLAPOLTP生態(tài)工具：ADAM,DTS,DMS,

目錄CONTENTS目錄CONTENTSRDS/POLARDBRDS/POLARDBRD