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DBMS > HugeGraph vs. RethinkDB vs. RRDtool vs. Transwarp ArgoDB

System Properties Comparison HugeGraph vs. RethinkDB vs. RRDtool vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonRethinkDB  Xexclude from comparisonRRDtool  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSDBMS for the Web with a mechanism to push updated query results to applications in realtime.Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Distributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelGraph DBMSDocument storeTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score0.07
Rank#350  Overall
#153  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
rethinkdb.comoss.oetiker.ch/­rrdtoolwww.transwarp.cn/­en/­product/­argodb
Technical documentationhugegraph.apache.org/­docsrethinkdb.com/­docsoss.oetiker.ch/­rrdtool/­docdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperBaiduThe Linux Foundation infosince July 2017Tobias OetikerTranswarp
Initial release201820091999
Current release0.92.4.1, August 20201.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoGPL V2 and FLOSScommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux
macOS
Unix
Linux
OS X
Windows
HP-UX
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometryNumeric data onlyyes
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 infoExporting into and restoring from XML files possible
Secondary indexesyes infoalso supports composite index and range indexyesnoyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
in-process shared library
Pipes
Supported programming languagesGroovy
Java
Python
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsno
TriggersnoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlUsers, roles and permissionsyes infousers and table-level permissionsno

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More resources
HugeGraphRethinkDBRRDtoolTranswarp ArgoDB
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