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DBMS > Graph Engine vs. Interbase vs. Microsoft Access vs. Newts vs. Titan

System Properties Comparison Graph Engine vs. Interbase vs. Microsoft Access vs. Newts vs. Titan

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNewts  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 engineLight-weight proven RDBMS infooriginally from BorlandMicrosoft 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.)Time Series DBMS based on CassandraTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelGraph DBMS
Key-value store
Relational DBMSRelational DBMSTime Series DBMSGraph 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
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.graphengine.iowww.embarcadero.com/­products/­interbasewww.microsoft.com/­en-us/­microsoft-365/­accessopennms.github.io/­newtsgithub.com/­thinkaurelius/­titan
Technical documentationwww.graphengine.io/­docs/­manualdocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­accessgithub.com/­OpenNMS/­newts/­wikigithub.com/­thinkaurelius/­titan/­wiki
DeveloperMicrosoftEmbarcaderoMicrosoftOpenNMS GroupAurelius, owned by DataStax
Initial release20101984199220142012
Current releaseInterBase 2020, December 20191902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0Open 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 CCC++JavaJava
Server operating systems.NETAndroid
iOS
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoexport as XML data possibleno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesyes infobut not compliant to any SQL standardnono
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
HTTP REST
Java API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
F#
Visual Basic
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
JavaClojure
Java
Python
Server-side scripts infoStored proceduresyesyes infoInterbase procedure and trigger languageyes infosince Access 2010 using the ACE-enginenoyes
Triggersnoyesyes infosince Access 2010 using the ACE-enginenoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonenoneSharding infobased on Cassandrayes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change Viewsnoneselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
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 storageyesyes infobut no files for transaction loggingyesyes 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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003noUser authentification and security via Rexster Graph Server

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More resources
Graph Engine infoformer name: TrinityInterbaseMicrosoft AccessNewtsTitan
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