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DBMS > HugeGraph vs. InfluxDB vs. Linter vs. MySQL vs. SQLite

System Properties Comparison HugeGraph vs. InfluxDB vs. Linter vs. MySQL vs. SQLite

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonInfluxDB  Xexclude from comparisonLinter  Xexclude from comparisonMySQL  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSDBMS for storing time series, events and metricsRDBMS for high security requirementsWidely used open source RDBMSWidely used embeddable, in-process RDBMS
Primary database modelGraph DBMSTime Series DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.influxdata.com/­products/­influxdb-overviewlinter.ruwww.mysql.comwww.sqlite.org
Technical documentationhugegraph.apache.org/­docsdocs.influxdata.com/­influxdbdev.mysql.com/­docwww.sqlite.org/­docs.html
DeveloperBaidurelex.ruOracle infosince 2010, originally MySQL AB, then SunDwayne Richard Hipp
Initial release20182013199019952000
Current release0.92.7.6, April 20248.4.0, April 20243.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageJavaGoC and C++C and C++C
Server operating systemsLinux
macOS
Unix
Linux
OS X infothrough Homebrew
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
FreeBSD
Linux
OS X
Solaris
Windows
server-less
Data schemeyesschema-freeyesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyesyes infonot rigid because of 'dynamic typing' concept.
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.nononoyesno
Secondary indexesyes infoalso supports composite index and range indexnoyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyesyes infowith proprietary extensionsyes infoSQL-92 is not fully supported
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
JSON over UDP
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesGroovy
Java
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoyes infoproprietary syntax with the possibility to convert from PL/SQLyes infoproprietary syntaxno
Triggersnonoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoin enterprise version onlynonehorizontal 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 HBaseselectable replication factor infoin enterprise version onlySource-replica replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnoyesyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyesyes
User concepts infoAccess controlUsers, roles and permissionssimple rights management via user accountsfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesno
More information provided by the system vendor
HugeGraphInfluxDBLinterMySQLSQLite
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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