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DBMS > AnzoGraph DB vs. Apache IoTDB vs. MaxDB vs. Microsoft Azure AI Search vs. TimesTen

System Properties Comparison AnzoGraph DB vs. Apache IoTDB vs. MaxDB vs. Microsoft Azure AI Search vs. TimesTen

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache IoTDB  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMicrosoft Azure AI Search  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 FlinkA robust and reliable RDBMS optimized to run all major SAP solutionsSearch-as-a-service for web and mobile app developmentAn 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 DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsVector 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
Score2.15
Rank#115  Overall
#55  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitecambridgesemantics.com/­anzographiotdb.apache.orgmaxdb.sap.comazure.microsoft.com/­en-us/­services/­searchwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlmaxdb.sap.com/­documentationlearn.microsoft.com/­en-us/­azure/­searchdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperCambridge SemanticsApache Software FoundationSAP, acquired from Software AG (Adabas-D) in 1997MicrosoftOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20182018198420151998
Current release2.3, January 20211.1.0, April 20237.9.10.12, February 2024V1Release 22.1
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2.0commercial infoLimited community edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinuxAll OS with a Java VM (>= 1.8)AIX
HP-UX
Linux
Solaris
Windows
hostedIBM 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 supportyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonononono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like query languageyesnoyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
Native API
ADO.NET
JDBC
ODBC
WebDAV
RESTful HTTP APIODBC
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
.Net
C#
Java
Perl
PHP
Python
C#
Java
JavaScript
Python
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyesnoPL/SQL
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding infoImplicit feature of the cloud servicenone
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 replicasSource-replica replicationyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infonot needed in graphsnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesyesnonoyes
User concepts infoAccess controlAccess rights for users and rolesyesfine grained access rights according to SQL-standardyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBApache IoTDBMaxDB infoformerly named Adabas-DMicrosoft Azure AI SearchTimesTen
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