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DBMS > Apache IoTDB vs. Graph Engine vs. Memcached vs. PostgreSQL vs. SWC-DB

System Properties Comparison Apache IoTDB vs. Graph Engine vs. Memcached vs. PostgreSQL vs. SWC-DB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMemcached  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 FlinkA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineIn-memory key-value store, originally intended for cachingWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA high performance, scalable Wide Column DBMS
Primary database modelTime Series DBMSGraph DBMS
Key-value store
Key-value storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Wide column store
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websiteiotdb.apache.orgwww.graphengine.iowww.memcached.orgwww.postgresql.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.graphengine.io/­docs/­manualgithub.com/­memcached/­memcached/­wikiwww.postgresql.org/­docs
DeveloperApache Software FoundationMicrosoftDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalPostgreSQL Global Development Group infowww.postgresql.org/­developerAlex Kashirin
Initial release2018201020031989 info1989: Postgres, 1996: PostgreSQL2020
Current release1.1.0, April 20231.6.25, March 202416.3, May 20240.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoBSD licenseOpen Source infoBSDOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
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Implementation languageJava.NET and CCCC++
Server operating systemsAll OS with a Java VM (>= 1.8).NETFreeBSD
Linux
OS X
Unix
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeyesyesschema-freeyesschema-free
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like query languagenonoyes infostandard with numerous extensionsSQL-like query language
APIs and other access methodsJDBC
Native API
RESTful HTTP APIProprietary protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol
Thrift
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
C++
F#
Visual Basic
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Server-side scripts infoStored proceduresyesyesnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioningnonepartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnone infoRepcached, a Memcached patch, provides this functionallitySource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storagenoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlyesyes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standard

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Apache IoTDBGraph Engine infoformer name: TrinityMemcachedPostgreSQLSWC-DB infoSuper Wide Column Database
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