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DBMS > Apache Kylin vs. Graph Engine vs. Hypertable vs. OrientDB vs. Postgres-XL

System Properties Comparison Apache Kylin vs. Graph Engine vs. Hypertable vs. OrientDB vs. Postgres-XL

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHypertable  Xexclude from comparisonOrientDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAn open source BigTable implementation based on distributed file systems such as HadoopMulti-model DBMS (Document, Graph, Key/Value)Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSGraph DBMS
Key-value store
Wide column storeDocument store
Graph DBMS
Key-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitekylin.apache.orgwww.graphengine.ioorientdb.orgwww.postgres-xl.org
Technical documentationkylin.apache.org/­docswww.graphengine.io/­docs/­manualwww.orientdb.com/­docs/­last/­index.htmlwww.postgres-xl.org/­documentation
DeveloperApache Software Foundation, originally contributed from eBay IncMicrosoftHypertable Inc.OrientDB LTD; CallidusCloud; SAP
Initial release20152010200920102014 infosince 2012, originally named StormDB
Current release3.1.0, July 20200.9.8.11, March 20163.2.29, March 202410 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache version 2Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and CC++JavaC
Server operating systemsLinux.NETLinux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java JDK (>= JDK 6)Linux
macOS
Data schemeyesyesschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
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.nononoyes infoXML type, but no XML query functionality
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nonoSQL-like query language, no joinsyes infodistributed, parallel query execution
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIC++ API
Thrift
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
F#
Visual Basic
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesnoJava, Javascriptuser defined functions
TriggersnonoHooksyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoAccess rights for users and roles; record level security configurablefine grained access rights according to SQL-standard

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More resources
Apache KylinGraph Engine infoformer name: TrinityHypertableOrientDBPostgres-XL
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