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DBMS > Amazon DocumentDB vs. IBM Db2 Event Store vs. YDB

System Properties Comparison Amazon DocumentDB vs. IBM Db2 Event Store vs. YDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDistributed Event Store optimized for Internet of Things use casesA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument storeEvent Store
Time Series DBMS
Document store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.ibm.com/­products/­db2-event-storegithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationaws.amazon.com/­documentdb/­resourceswww.ibm.com/­docs/­en/­db2-event-storeydb.tech/­en/­docs
DeveloperIBMYandex
Initial release201920172019
Current release2.0
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionLinux
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeSQL-like query language (YQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoyesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasActive-active shard replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
Amazon DocumentDBIBM Db2 Event StoreYDB
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