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DBMS > Apache HugeGraph vs. Kingbase vs. Microsoft Azure Data Explorer

System Properties Comparison Apache HugeGraph vs. Kingbase vs. Microsoft Azure Data Explorer

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Editorial information provided by DB-Engines
NameApache HugeGraph  Xexclude from comparisonKingbase  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Fully managed big data interactive analytics platform
Primary database modelGraph DBMSRelational DBMSRelational DBMS infocolumn oriented
Secondary database modelsDocument store
Spatial DBMS
Document store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#321  Overall
#30  Graph DBMS
Score0.44
Rank#258  Overall
#117  Relational DBMS
Score3.28
Rank#83  Overall
#45  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.kingbase.com.cnazure.microsoft.com/­services/­data-explorer
Technical documentationhugegraph.apache.org/­docsdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperBaiduBeiJing KINGBASE Information technologies inc.Microsoft
Initial release201819992019
Current release0.9V8.0, August 2021cloud service with continuous releases
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and Java
Server operating systemsLinux
macOS
Unix
Linux
Windows
hosted
Data schemeyesyesFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or dateyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
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.noyesyes
Secondary indexesyes infoalso supports composite index and range indexyesall fields are automatically indexed
SQL infoSupport of SQLnoStandard with numerous extensionsKusto Query Language (KQL), SQL subset
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesGroovy
Java
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsuser defined functionsYes, possible languages: KQL, Python, R
Triggersnoyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning (by range, list and hash) and vertical partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardAzure Active Directory Authentication

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More resources
Apache HugeGraphKingbaseMicrosoft Azure Data Explorer
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