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DBMS > Apache IoTDB vs. GBase vs. Memcached vs. MySQL

System Properties Comparison Apache IoTDB vs. GBase vs. Memcached vs. MySQL

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGBase  Xexclude from comparisonMemcached  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.In-memory key-value store, originally intended for cachingWidely used open source RDBMS
Primary database modelTime Series DBMSRelational DBMSKey-value storeRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Websiteiotdb.apache.orgwww.gbase.cnwww.memcached.orgwww.mysql.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgithub.com/­memcached/­memcached/­wikidev.mysql.com/­doc
DeveloperApache Software FoundationGeneral Data Technology Co., Ltd.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalOracle infosince 2010, originally MySQL AB, then Sun
Initial release2018200420031995
Current release1.1.0, April 2023GBase 8a, GBase 8s, GBase 8c1.6.25, March 20248.4.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSD licenseOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageJavaC, Java, PythonCC and C++
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxFreeBSD
Linux
OS X
Unix
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query languageStandard with numerous extensionsnoyes infowith proprietary extensions
APIs and other access methodsJDBC
Native API
ADO.NET
C API
JDBC
ODBC
Proprietary protocolADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesuser defined functionsnoyes infoproprietary syntax
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioning (by range, list and hash) and vertical partitioningnonehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesnone infoRepcached, a Memcached patch, provides this functionallityMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesyesyes infousing SASL (Simple Authentication and Security Layer) protocolUsers with fine-grained authorization concept infono user groups or roles

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Apache IoTDBGBaseMemcachedMySQL
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