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DBMS > Amazon DocumentDB vs. Apache Phoenix vs. IBM Db2 Event Store vs. Oracle Coherence

System Properties Comparison Amazon DocumentDB vs. Apache Phoenix vs. IBM Db2 Event Store vs. Oracle Coherence

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scale-out RDBMS with evolutionary schema built on Apache HBaseDistributed Event Store optimized for Internet of Things use casesOracles in-memory data grid solution
Primary database modelDocument storeRelational DBMSEvent Store
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Websiteaws.amazon.com/­documentdbphoenix.apache.orgwww.ibm.com/­products/­db2-event-storewww.oracle.com/­java/­coherence
Technical documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgwww.ibm.com/­docs/­en/­db2-event-storedocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperApache Software FoundationIBMOracle
Initial release2019201420172007
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.014.1, August 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Java
Server operating systemshostedLinux
Unix
Windows
Linux infoLinux, macOS, Windows for the developer additionAll OS with a Java VM
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyesnono
SQL infoSupport of SQLnoyesyes infothrough the embedded Spark runtimeno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JCache
JPA
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsyesno
Triggersnononoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
Active-active shard replicationyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardauthentification to access the cache via certificates or http basic authentication

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More resources
Amazon DocumentDBApache PhoenixIBM Db2 Event StoreOracle Coherence
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