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DBMS > Apache IoTDB vs. JanusGraph vs. Memcached vs. TimescaleDB

System Properties Comparison Apache IoTDB vs. JanusGraph vs. Memcached vs. TimescaleDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMemcached  Xexclude from comparisonTimescaleDB  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 Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017In-memory key-value store, originally intended for cachingA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSGraph DBMSKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websiteiotdb.apache.orgjanusgraph.orgwww.memcached.orgwww.timescale.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.janusgraph.orggithub.com/­memcached/­memcached/­wikidocs.timescale.com
DeveloperApache Software FoundationLinux Foundation; originally developed as Titan by AureliusDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalTimescale
Initial release2018201720032017
Current release1.1.0, April 20230.6.3, February 20231.6.27, May 20242.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoBSD licenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCC
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Unix
Windows
FreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query languagenonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
Native API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Proprietary protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Clojure
Java
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesyesnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)yes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneyes, across time and space (hash partitioning) attributes
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 functionallitySource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesUser authentification and security via Rexster Graph Serveryes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standard

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Apache IoTDBJanusGraph infosuccessor of TitanMemcachedTimescaleDB
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