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DBMS > AnzoGraph DB vs. Graph Engine vs. Microsoft Access vs. SiriDB vs. Sqrrl

System Properties Comparison AnzoGraph DB vs. Graph Engine vs. Microsoft Access vs. SiriDB vs. Sqrrl

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSiriDB  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineMicrosoft 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.)Open Source Time Series DBMSAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelGraph DBMS
RDF store
Graph DBMS
Key-value store
Relational DBMSTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitecambridgesemantics.com/­anzographwww.graphengine.iowww.microsoft.com/­en-us/­microsoft-365/­accesssiridb.comsqrrl.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.graphengine.io/­docs/­manualdeveloper.microsoft.com/­en-us/­accessdocs.siridb.com
DeveloperCambridge SemanticsMicrosoftMicrosoftCesbitAmazon infooriginally Sqrrl Data, Inc.
Initial release20182010199220172012
Current release2.3, January 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoMIT Licensecommercial infoBundled with Microsoft OfficeOpen Source infoMIT Licensecommercial
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 language.NET and CC++CJava
Server operating systemsLinux.NETWindows infoNot a real database server, but making use of DLLsLinuxLinux
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoNumeric datayes
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
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyes infobut not compliant to any SQL standardnono
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APIADO.NET
DAO
ODBC
OLE DB
HTTP APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC++
Java
Python
C#
C++
F#
Visual Basic
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyes infosince Access 2010 using the ACE-enginenono
Triggersnonoyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardinghorizontal partitioningnoneShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternoneyesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityno infonot needed in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes 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.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesno infoa simple user-level security was built in till version Access 2003simple rights management via user accountsCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
AnzoGraph DBGraph Engine infoformer name: TrinityMicrosoft AccessSiriDBSqrrl
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