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DBMS > AnzoGraph DB vs. IBM Db2 Event Store vs. Ingres vs. KairosDB vs. SiteWhere

System Properties Comparison AnzoGraph DB vs. IBM Db2 Event Store vs. Ingres vs. KairosDB vs. SiteWhere

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonIngres  Xexclude from comparisonKairosDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationDistributed Event Store optimized for Internet of Things use casesWell established RDBMSDistributed Time Series DBMS based on Cassandra or H2M2M integration platform for persisting/querying time series data
Primary database modelGraph DBMS
RDF store
Event Store
Time Series DBMS
Relational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitecambridgesemantics.com/­anzographwww.ibm.com/­products/­db2-event-storewww.actian.com/­databases/­ingresgithub.com/­kairosdb/­kairosdbgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.ibm.com/­docs/­en/­db2-event-storedocs.actian.com/­ingreskairosdb.github.iositewhere1.sitewhere.io/­index.html
DeveloperCambridge SemanticsIBMActian CorporationSiteWhere
Initial release201820171974 infooriginally developed at University Berkely in early 1970s20132010
Current release2.3, January 20212.011.2, May 20221.2.2, November 2018
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infofree developer edition availablecommercialOpen Source infoApache 2.0Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++CJavaJava
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesyesschema-freepredefined scheme
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.nonono infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesnonoyesnono
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infothrough the embedded Spark runtimeyesnono
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Graphite protocol
HTTP REST
Telnet API
HTTP REST
Supported programming languagesC++
Java
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infobased on CassandraSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterActive-active shard replicationIngres Replicatorselectable replication factor infobased on Cassandraselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes infoMVCCyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonono
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardsimple password-based access controlUsers with fine-grained authorization concept

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More resources
AnzoGraph DBIBM Db2 Event StoreIngresKairosDBSiteWhere
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