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DBMS > Alibaba Cloud TSDB vs. HugeGraph vs. Kinetica vs. Microsoft Access vs. RDF4J

System Properties Comparison Alibaba Cloud TSDB vs. HugeGraph vs. Kinetica vs. Microsoft Access vs. RDF4J

Editorial information provided by DB-Engines
NameAlibaba Cloud TSDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionA stable, reliable, and cost-effective online high-performance time series database serviceA fast-speed and highly-scalable Graph DBMSFully vectorized database across both GPUs and CPUsMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelTime Series DBMSGraph DBMSRelational DBMSRelational DBMSRDF store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#306  Overall
#26  Time Series DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.alibabacloud.com/­product/­hitsdbgithub.com/­hugegraph
hugegraph.apache.org
www.kinetica.comwww.microsoft.com/­en-us/­microsoft-365/­accessrdf4j.org
Technical documentationwww.alibabacloud.com/­help/­en/­time-series-database/­latest/­what-is-tsdbhugegraph.apache.org/­docsdocs.kinetica.comdeveloper.microsoft.com/­en-us/­accessrdf4j.org/­documentation
DeveloperAlibabaBaiduKineticaMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2018201219922004
Current release0.97.1, August 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial infoBundled with Microsoft OfficeOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++Java
Server operating systemshostedLinux
macOS
Unix
LinuxWindows infoNot a real database server, but making use of DLLsLinux
OS X
Unix
Windows
Data schemeschema-freeyesyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyesyesyes
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 indexesnoyes infoalso supports composite index and range indexyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardno
APIs and other access methodsHTTP RESTJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJavaGroovy
Java
Python
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
PHP
Python
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsuser defined functionsyes infosince Access 2010 using the ACE-engineyes
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoedges in graphyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infobut no files for transaction loggingACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess managed on TSDB instance levelUsers, roles and permissionsAccess rights for users and roles on table levelno infoa simple user-level security was built in till version Access 2003no

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More resources
Alibaba Cloud TSDBHugeGraphKineticaMicrosoft AccessRDF4J infoformerly known as Sesame
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