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DBMS > Amazon DocumentDB vs. Ehcache vs. etcd vs. IBM Db2 vs. RDFox

System Properties Comparison Amazon DocumentDB vs. Ehcache vs. etcd vs. IBM Db2 vs. RDFox

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonEhcache  Xexclude from comparisonetcd  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA widely adopted Java cache with tiered storage optionsA distributed reliable key-value storeCommon in IBM host environments, 2 different versions for host and Windows/LinuxHigh performance knowledge graph and semantic reasoning engine
Primary database modelDocument storeKey-value storeKey-value storeRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBGraph DBMS
RDF store
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score4.89
Rank#67  Overall
#8  Key-value stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websiteaws.amazon.com/­documentdbwww.ehcache.orgetcd.io
github.com/­etcd-io/­etcd
www.ibm.com/­products/­db2www.oxfordsemantic.tech
Technical documentationaws.amazon.com/­documentdb/­resourceswww.ehcache.org/­documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.ibm.com/­docs/­en/­db2docs.oxfordsemantic.tech
DeveloperTerracotta Inc, owned by Software AGIBMOxford Semantic Technologies
Initial release201920091983 infohost version2017
Current release3.10.0, March 20223.4, August 201912.1, October 20166.0, Septermber 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0commercial infofree version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC and C++C++
Server operating systemshostedAll OS with a Java VMFreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
macOS
Windows
Data schemeschema-freeschema-freeschema-freeyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesyesnonoyes
SQL infoSupport of SQLnononoyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JCachegRPC
JSON over HTTP
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
RESTful HTTP API
SPARQL 1.1
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C
Java
Server-side scripts infoStored proceduresnononoyes
Triggersnoyes infoCache Event Listenersyes, watching key changesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerSharding infoonly with Windows/Unix/Linux Version
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infoby using Terracotta ServerUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infowith separate tools (MQ, InfoSphere)replication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyes infosupports JTA and can work as an XA resourcenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesnonofine grained access rights according to SQL-standardRoles, resources, and access types

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More resources
Amazon DocumentDBEhcacheetcdIBM Db2 infoformerly named DB2 or IBM Database 2RDFox
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