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DBMS > Graph Engine vs. Microsoft Access vs. Quasardb vs. RavenDB vs. Titan

System Properties Comparison Graph Engine vs. Microsoft Access vs. Quasardb vs. RavenDB vs. Titan

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQuasardb  Xexclude from comparisonRavenDB  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionA 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.)Distributed, high-performance timeseries databaseOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelGraph DBMS
Key-value store
Relational DBMSTime Series DBMSDocument storeGraph DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitewww.graphengine.iowww.microsoft.com/­en-us/­microsoft-365/­accessquasar.airavendb.netgithub.com/­thinkaurelius/­titan
Technical documentationwww.graphengine.io/­docs/­manualdeveloper.microsoft.com/­en-us/­accessdoc.quasar.ai/­masterravendb.net/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperMicrosoftMicrosoftquasardbHibernating RhinosAurelius, owned by DataStax
Initial release20101992200920102012
Current release1902 (16.0.11328.20222), March 20193.14.1, January 20245.4, July 2022
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infoBundled with Microsoft Officecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache license, version 2.0
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++C++C#Java
Server operating systems.NETWindows infoNot a real database server, but making use of DLLsBSD
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binarynoyes
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.nono
Secondary indexesyesyes infowith tagsyesyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardSQL-like query languageSQL-like query language (RQL)no
APIs and other access methodsRESTful HTTP APIADO.NET
DAO
ODBC
OLE DB
HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
F#
Visual Basic
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresyesyes infosince Access 2010 using the ACE-enginenoyesyes
Triggersnoyes infosince Access 2010 using the ACE-enginenoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infoconsistent hashingShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with selectable replication factorMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationyesyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnonoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingACIDACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentoptional: 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 loggingyes infoby using LevelDByesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient mode
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003Cryptographically strong user authentication and audit trailAuthorization levels configured per client per databaseUser authentification and security via Rexster Graph Server

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More resources
Graph Engine infoformer name: TrinityMicrosoft AccessQuasardbRavenDBTitan
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