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DBMS > Amazon DocumentDB vs. HugeGraph vs. Percona Server for MongoDB vs. TerarkDB vs. TimesTen

System Properties Comparison Amazon DocumentDB vs. HugeGraph vs. Percona Server for MongoDB vs. TerarkDB vs. TimesTen

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonTerarkDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA fast-speed and highly-scalable Graph DBMSA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBIn-Memory RDBMS compatible to Oracle
Primary database modelDocument storeGraph DBMSDocument storeKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­hugegraph
hugegraph.apache.org
www.percona.com/­mongodb/­software/­percona-server-for-mongodbgithub.com/­bytedance/­terarkdbwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationaws.amazon.com/­documentdb/­resourceshugegraph.apache.org/­docsdocs.percona.com/­percona-distribution-for-mongodbbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcdocs.oracle.com/­database/­timesten-18.1
DeveloperBaiduPerconaByteDance, originally TerarkOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20192018201520161998
Current release0.93.4.10-2.10, November 201711 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL Version 2commercial inforestricted open source version 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 languageJavaC++C++
Server operating systemshostedLinux
macOS
Unix
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonononono
Secondary indexesyesyes infoalso supports composite index and range indexyesnoyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java API
RESTful HTTP API
TinkerPop Gremlin
proprietary protocol using JSONC++ API
Java API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Groovy
Java
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C++
Java
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsJavaScriptnoPL/SQL
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)via hugegraph-sparkyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoedges in graphnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovia In-Memory Engineyesyes
User concepts infoAccess controlAccess rights for users and rolesUsers, roles and permissionsAccess rights for users and rolesnofine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBHugeGraphPercona Server for MongoDBTerarkDBTimesTen
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