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DBMS > Microsoft Access vs. Titan vs. VoltDB vs. Yaacomo

System Properties Comparison Microsoft Access vs. Titan vs. VoltDB vs. Yaacomo

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Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonTitan  Xexclude from comparisonVoltDB  Xexclude from comparisonYaacomo  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.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionMicrosoft 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.)Titan is a Graph DBMS optimized for distributed clusters.Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memoryOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSGraph DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score1.38
Rank#156  Overall
#72  Relational DBMS
Websitewww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­thinkaurelius/­titanwww.voltdb.comyaacomo.com
Technical documentationdeveloper.microsoft.com/­en-us/­accessgithub.com/­thinkaurelius/­titan/­wikidocs.voltdb.com
DeveloperMicrosoftAurelius, owned by DataStaxVoltDB Inc.Q2WEB GmbH
Initial release1992201220102009
Current release1902 (16.0.11328.20222), March 201911.3, April 2022
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoApache license, version 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editionscommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava, C++
Server operating systemsWindows infoNot a real database server, but making use of DLLsLinux
OS X
Unix
Windows
Linux
OS X infofor development
Android
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infobut not compliant to any SQL standardnoyes infoonly a subset of SQL 99yes
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Java API
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Clojure
Java
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineyesJava
Triggersyes infosince Access 2010 using the ACE-engineyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes infovia pluggable storage backendsShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphno infoFOREIGN KEY constraints are not supportedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingACIDACID infoTransactions are executed single-threaded within stored proceduresACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infoSnapshots and command loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003User authentification and security via Rexster Graph ServerUsers and roles with access to stored proceduresfine grained access rights according to SQL-standard

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More resources
Microsoft AccessTitanVoltDBYaacomo
DB-Engines blog posts

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Recent citations in the news

I live with MS: Access to affordable healthcare is my lifeline | Opinion
14 August 2024, Miami Herald

Abusing Microsoft Access "Linked Table" Feature to Perform NTLM Forced Authentication Attacks
9 November 2023, Check Point Research

Hackers Exploit Microsoft Access Feature to Steal Windows User’s NTLM Tokens
11 November 2023, CybersecurityNews

Access Migration to Power Apps and Dataverse is released to General Availability
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20 August 2015, All Things Distributed

Amazon DynamoDB Storage Backend for Titan: Distributed Graph Database
24 August 2015, AWS Blog

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 VoltDB Launches Active(N) Lossless Cross Data Center Replication
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