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DBMS > EXASOL vs. Graph Engine vs. HugeGraph vs. Tkrzw

System Properties Comparison EXASOL vs. Graph Engine vs. HugeGraph vs. Tkrzw

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHugeGraph  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A 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 DBMSA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSGraph DBMS
Key-value store
Graph DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.exasol.comwww.graphengine.iogithub.com/­hugegraph
hugegraph.apache.org
dbmx.net/­tkrzw
Technical documentationwww.exasol.com/­resourceswww.graphengine.io/­docs/­manualhugegraph.apache.org/­docs
DeveloperExasolMicrosoftBaiduMikio Hirabayashi
Initial release2000201020182020
Current release0.90.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
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++
Server operating systems.NETLinux
macOS
Unix
Linux
macOS
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nononono
Secondary indexesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLyesnonono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
RESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesJava
Lua
Python
R
C#
C++
F#
Visual Basic
Groovy
Java
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesasynchronous Gremlin script jobsno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infousing specific database classes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardUsers, roles and permissionsno

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More resources
EXASOLGraph Engine infoformer name: TrinityHugeGraphTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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