2020年 中国金融级分布式数据库市场报告

1 2020 2020 China Financial-grade Distributed Database Market Report2020 IT 01 / + 02 serverless 03 2020 -----------------------06 -----------------------07 -----------------------08 -----------------------09u -----------------------10 -----------------------11 -----------------------13 -----------------------14 -----------------------15u -----------------------16

2 -----------------------17 -----------------------20 HTAP -----------------------21 -----------------------22 -----------------------23 -----------------------24 -----------------------25u -----------------------27 -----------------------28 -----------------------29 -----------------------30u -----------------------31 -----------------------32 -----------------------33 -----------------------35u -----------------------38u -----------------------40u -----------------------41 China: Database SeriesFrost & Sullivan Market of Distributed Database06 Problems and challenges faced by traditional database07 Overview of distributed database08 Difference between traditional database and distributed database09uOverview of Financial-grade Distributed Database10 The necessity of financial-grade distributed databases11 Financial business requirements for distributed databases13 Distributed database architecture design path14 Database migration path15uTechnology Insight of Distributed Database16 Consistency of Distributed Transactions17 Share-nothing Architecture20 HTAP Hybrid Transaction Analysis Database21 Cloud Service and Micro-service22 Operation and Maintenance 23 AIforDatabase24 OpenSourceCommunity25uTrend Analysis of Financial-grade Distributed Database27 Distributed Database

3 Application on State-owned large bankscore business28 Database solutions are segmented into different financial business scenarios29 Analysis of Key Factors in the Development of Database Vendors30uCompetition Analysis of Financial-grade Distributed Database31 Comprehensive Vendors Assessment32 Assessment Scoring33 Leading Competitors35uTerms38uMethodology40uLega l Statement41 --------------------------------07 --------------------------------08 vs. --------------------------------09 --------------------------------09 --------------------------------11 --------------------------------12 IOE vs. XML --------------------------------12 --------------------------------13 --------------------------------14 --------------------------------15 --------------------------------17 --------------------------------18 2PC vs.

4 3PC vs. paxos vs. Raft--------------------------------18 Raft --------------------------------19 --------------------------------19 --------------------------------20 SN vs. SM vs. SD--------------------------------20 --------------------------------21 HTAP --------------------------------21 OLTP vs. OLAP vs. HTAP--------------------------------21 --------------------------------22 --------------------------------23 --------------------------------23 AI --------------------------------24 --------------------------------25 --------------------------------28 --------------------------------29 --------------------------------29 --------------------------------30 01 q q q 6 q PC q

5 7 /RFID GPS & / A/B MBGBTBPB/ZB 15MB 500MB 2TB 1970sPC 2000s 2020s ITPUB, 8 SQLJDBC/ODBC / / q HTAP vs q 9

6 PCServer 1 PB ACID CAP BASE ACID DBMS NoSQLNewSQL Lotus NotesCouchDBMongoDBSequoiaDBDynamoRiakRe disVoldemortBerkeleyDBHypertableHbaseHyp ertableSimpleDBNeo4 JGraphDBInfiniteGraphOrientDBMySQL PostgreSQL EnterpriseDB Ingres Oracle IBM Db2 SQL Server GoldenDBOceanBasePolarDB-XGaussDBGbase-8 A aaSAmazon RDSSQL AzureTDSQLTiDBSimpleDBApp EngineDatastoreHadoop BriskMcObject DryadHadaptCouchbaseCassandraCloudantMyS QL ClusterVoltDBMySQLS caleBaseTranslatticeNimbusDBFoundationDB GreenplumProgressObjectivityMapReduceMar kLogicVersant 451 Group 02 q q q q 10 q / + q 1.

7 2. 3. 4. 11 ChunSheng q COBOL+DB2 IOE q [2014]39 XML IOE 12 IOE vs.

8 XML OSChina 197819892000 1978 1985 1989 Oracle 1997 DBA Oracle 5 1998 IBM DB2 Informix Oracle 1999 2009 IOE PCSever MySQL IBM Oracle EMC SAN 2013 2015 AWS AmazonAurora 2015 OceanBase 2017 PolarDB1998 2000 Oracle MySQL MySQL 2004 Oracle MySQLIOEXML IBM ORACLESAN EMCX86 PC MySQL Linux IBM HP X86 MySQL DB2 ORACLE EMC / SQL JSON OLTP OLAP 13 GoldenDB /

9 14 q CAP paxos HTAP AI CAP CAP CAP 1 2 3 2 3 1 2 3 1 2 3 1 1 2 3 1 2 3 1 2 3 Partitioning Replication CAP q

10 15 OceanBase POC