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DBMS > AnzoGraph DB vs. BigObject vs. Microsoft Access vs. SiteWhere vs. SWC-DB

System Properties Comparison AnzoGraph DB vs. BigObject vs. Microsoft Access vs. SiteWhere vs. SWC-DB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonBigObject  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSiteWhere  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAnalytic DBMS for real-time computations and queriesMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)M2M integration platform for persisting/querying time series dataA high performance, scalable Wide Column DBMS
Primary database modelGraph DBMS
RDF store
Relational DBMS infoa hierachical model (tree) can be imposedRelational DBMSTime Series DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitecambridgesemantics.com/­anzographbigobject.iowww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­sitewhere/­sitewheregithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.bigobject.iodeveloper.microsoft.com/­en-us/­accesssitewhere1.sitewhere.io/­index.html
DeveloperCambridge SemanticsBigObject, Inc.MicrosoftSiteWhereAlex Kashirin
Initial release20182015199220102020
Current release2.3, January 20211902 (16.0.11328.20222), March 20190.5, April 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infofree community edition availablecommercial infoBundled with Microsoft OfficeOpen Source infoCommon Public Attribution License Version 1.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Linux
Data schemeSchema-free and OWL/RDFS-schema supportyesyespredefined schemeschema-free
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 indexesnoyesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like DML and DDL statementsyes infobut not compliant to any SQL standardnoSQL-like query language
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
fluentd
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
HTTP RESTProprietary protocol
Thrift
Supported programming languagesC++
Java
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Server-side scripts infoStored proceduresuser defined functions and aggregatesLuayes infosince Access 2010 using the ACE-engineno
Triggersnonoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnonenoneSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternonenoneselectable 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-ClusternoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyes infoautomatically between fact table and dimension tablesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlAccess rights for users and rolesnono infoa simple user-level security was built in till version Access 2003Users with fine-grained authorization concept

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More resources
AnzoGraph DBBigObjectMicrosoft AccessSiteWhereSWC-DB infoSuper Wide Column Database
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