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DBMS > HugeGraph vs. InfinityDB vs. MySQL vs. RRDtool

System Properties Comparison HugeGraph vs. InfinityDB vs. MySQL vs. RRDtool

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonInfinityDB  Xexclude from comparisonMySQL  Xexclude from comparisonRRDtool  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA Java embedded Key-Value Store which extends the Java Map interfaceWidely used open source RDBMSIndustry 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.
Primary database modelGraph DBMSKey-value storeRelational DBMS infoKey/Value like access via memcached APITime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
boilerbay.comwww.mysql.comoss.oetiker.ch/­rrdtool
Technical documentationhugegraph.apache.org/­docsboilerbay.com/­infinitydb/­manualdev.mysql.com/­docoss.oetiker.ch/­rrdtool/­doc
DeveloperBaiduBoiler Bay Inc.Oracle infosince 2010, originally MySQL AB, then SunTobias Oetiker
Initial release2018200219951999
Current release0.94.08.4.0, April 20241.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageJavaJavaC and C++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux
macOS
Unix
All OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
HP-UX
Linux
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesNumeric data only
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.nonoyesno infoExporting into and restoring from XML files possible
Secondary indexesyes infoalso supports composite index and range indexno infomanual creation possible, using inversions based on multi-value capabilityyesno
SQL infoSupport of SQLnonoyes infowith proprietary extensionsno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
Proprietary native API
in-process shared library
Pipes
Supported programming languagesGroovy
Java
Python
JavaAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
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 jobsnoyes infoproprietary syntaxno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistencynone
Foreign keys infoReferential integrityyes infoedges in graphno infomanual creation possible, using inversions based on multi-value capabilityyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes infoby using the rrdcached daemon
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.yesnoyesyes
User concepts infoAccess controlUsers, roles and permissionsnoUsers with fine-grained authorization concept infono user groups or rolesno

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HugeGraphInfinityDBMySQLRRDtool
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