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DBMS > AnzoGraph DB vs. Apache IoTDB vs. SiteWhere vs. TimesTen

System Properties Comparison AnzoGraph DB vs. Apache IoTDB vs. SiteWhere vs. TimesTen

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache IoTDB  Xexclude from comparisonSiteWhere  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkM2M integration platform for persisting/querying time series dataAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelGraph DBMS
RDF store
Time Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitecambridgesemantics.com/­anzographiotdb.apache.orggithub.com/­sitewhere/­sitewherewww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlsitewhere1.sitewhere.io/­index.htmldocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperCambridge SemanticsApache Software FoundationSiteWhereOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2018201820101998
Current release2.3, January 20211.1.0, April 2023Release 22.1
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinuxAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeSchema-free and OWL/RDFS-schema supportyespredefined schemeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nononono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like query languagenoyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
Native API
HTTP RESTODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC++
Java
Python
C
C#
C++
Go
Java
Python
Scala
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesPL/SQL
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infonot needed in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess rights for users and rolesyesUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBApache IoTDBSiteWhereTimesTen
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