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DBMS > Graph Engine vs. Hive vs. IBM Db2 Event Store vs. Percona Server for MongoDB

System Properties Comparison Graph Engine vs. Hive vs. IBM Db2 Event Store vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonHive  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation enginedata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed Event Store optimized for Internet of Things use casesA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelGraph DBMS
Key-value store
Relational DBMSEvent Store
Time Series DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.93
Rank#189  Overall
#16  Graph DBMS
#32  Key-value stores
Score78.43
Rank#17  Overall
#11  Relational DBMS
Score0.39
Rank#262  Overall
#2  Event Stores
#21  Time Series DBMS
Score0.77
Rank#209  Overall
#33  Document stores
Websitewww.graphengine.iohive.apache.orgwww.ibm.com/­products/­db2-event-storewww.percona.com/­software/­mongodb/­percona-server-for-mongodb
Technical documentationwww.graphengine.io/­docs/­manualcwiki.apache.org/­confluence/­display/­Hive/­Homewww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_2.0.0/­welcome.htmlwww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.html
DeveloperMicrosoftApache Software Foundation infoinitially developed by FacebookIBMPercona
Initial release2010201220172015
Current release3.1.2, August 20192.03.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2commercial infofree developer edition availableOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaC and C++C++
Server operating systems.NETAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionLinux
Data schemeyesyesyesschema-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.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infothrough the embedded Spark runtimeno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesC#
C++
F#
Visual Basic
C++
Java
PHP
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
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
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyesJavaScript
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorActive-active shard replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesYes - 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.yesyesyes infovia In-Memory Engine
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Graph Engine infoformer name: TrinityHiveIBM Db2 Event StorePercona Server for MongoDB
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