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DBMS > IRONdb vs. Microsoft Access vs. Quasardb vs. Titan vs. Trafodion

System Properties Comparison IRONdb vs. Microsoft Access vs. Quasardb vs. Titan vs. Trafodion

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQuasardb  Xexclude from comparisonTitan  Xexclude from comparisonTrafodion  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.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.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityMicrosoft 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 databaseTitan is a Graph DBMS optimized for distributed clusters.Transactional SQL-on-Hadoop DBMS
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitewww.circonus.com/solutions/time-series-database/www.microsoft.com/­en-us/­microsoft-365/­accessquasar.aigithub.com/­thinkaurelius/­titantrafodion.apache.org
Technical documentationdocs.circonus.com/irondb/category/getting-starteddeveloper.microsoft.com/­en-us/­accessdoc.quasar.ai/­mastergithub.com/­thinkaurelius/­titan/­wikitrafodion.apache.org/­documentation.html
DeveloperCirconus LLC.MicrosoftquasardbAurelius, owned by DataStaxApache Software Foundation, originally developed by HP
Initial release20171992200920122014
Current releaseV0.10.20, January 20181902 (16.0.11328.20222), March 20193.14.1, January 20242.3.0, February 2019
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft Officecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache license, version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++C++JavaC++, Java
Server operating systemsLinuxWindows infoNot a real database server, but making use of DLLsBSD
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyes infointeger and binaryyesyes
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 indexesnoyesyes infowith tagsyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yes infobut not compliant to any SQL standardSQL-like query languagenoyes
APIs and other access methodsHTTP APIADO.NET
DAO
ODBC
OLE DB
HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Clojure
Java
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes, in Luayes infosince Access 2010 using the ACE-enginenoyesJava Stored Procedures
Triggersnoyes infosince Access 2010 using the ACE-enginenoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenoneSharding infoconsistent hashingyes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenoneSource-replica replication with selectable replication factoryesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationyes infovia Faunus, a graph analytics engineyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyes infoby using LevelDByes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeno
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003Cryptographically strong user authentication and audit trailUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
IRONdbMicrosoft AccessQuasardbTitanTrafodion
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