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DBMS > AnzoGraph DB vs. Google Cloud Datastore vs. Interbase vs. MaxDB vs. Microsoft Access

System Properties Comparison AnzoGraph DB vs. Google Cloud Datastore vs. Interbase vs. MaxDB vs. Microsoft Access

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonInterbase  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformLight-weight proven RDBMS infooriginally from BorlandA robust and reliable RDBMS optimized to run all major SAP solutionsMicrosoft 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.)
Primary database modelGraph DBMS
RDF store
Document storeRelational DBMSRelational DBMSRelational 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
Score4.36
Rank#72  Overall
#12  Document stores
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitecambridgesemantics.com/­anzographcloud.google.com/­datastorewww.embarcadero.com/­products/­interbasemaxdb.sap.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmcloud.google.com/­datastore/­docsdocs.embarcadero.com/­products/­interbasemaxdb.sap.com/­documentationdeveloper.microsoft.com/­en-us/­access
DeveloperCambridge SemanticsGoogleEmbarcaderoSAP, acquired from Software AG (Adabas-D) in 1997Microsoft
Initial release20182008198419841992
Current release2.3, January 2021InterBase 2020, December 20197.9.10.12, February 20241902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercialcommercial infoLimited community edition freecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++
Server operating systemsLinuxhostedAndroid
iOS
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyes
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 infoexport as XML data possibleno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like query language (GQL)yesyesyes infobut not compliant to any SQL standard
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
WebDAV
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC++
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C#
Java
Perl
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions and aggregatesusing Google App Engineyes infoInterbase procedure and trigger languageyesyes infosince Access 2010 using the ACE-engine
TriggersnoCallbacks using the Google Apps Engineyesyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication using PaxosInterbase Change ViewsSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyes infovia ReferenceProperties or Ancestor pathsyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003

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More resources
AnzoGraph DBGoogle Cloud DatastoreInterbaseMaxDB infoformerly named Adabas-DMicrosoft Access
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