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DBMS > Graph Engine vs. HugeGraph vs. Machbase Neo vs. Spark SQL vs. Trafodion

System Properties Comparison Graph Engine vs. HugeGraph vs. Machbase Neo vs. Spark SQL vs. Trafodion

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonHugeGraph  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA fast-speed and highly-scalable Graph DBMSTimeSeries DBMS for AIoT and BigDataSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMS
Key-value store
Graph DBMSTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.graphengine.iogithub.com/­hugegraph
hugegraph.apache.org
machbase.comspark.apache.org/­sqltrafodion.apache.org
Technical documentationwww.graphengine.io/­docs/­manualhugegraph.apache.org/­docsmachbase.com/­dbmsspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.html
DeveloperMicrosoftBaiduMachbaseApache Software FoundationApache Software Foundation, originally developed by HP
Initial release20102018201320142014
Current release0.9V8.0, August 20233.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0commercial infofree test version availableOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaCScalaC++, Java
Server operating systems.NETLinux
macOS
Unix
Linux
macOS
Windows
Linux
OS X
Windows
Linux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyes infoalso supports composite index and range indexyesnoyes
SQL infoSupport of SQLnonoSQL-like query languageSQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
F#
Visual Basic
Groovy
Java
Python
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesasynchronous Gremlin script jobsnonoJava Stored Procedures
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factornoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 storageyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infovolatile and lookup tablenono
User concepts infoAccess controlUsers, roles and permissionssimple password-based access controlnofine grained access rights according to SQL-standard

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More resources
Graph Engine infoformer name: TrinityHugeGraphMachbase Neo infoFormer name was InfinifluxSpark SQLTrafodion
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