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DBMS > Microsoft Access vs. OrigoDB vs. Prometheus vs. Sqrrl vs. Titan

System Properties Comparison Microsoft Access vs. OrigoDB vs. Prometheus vs. Sqrrl vs. Titan

Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonOrigoDB  Xexclude from comparisonPrometheus  Xexclude from comparisonSqrrl  Xexclude from comparisonTitan  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.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.
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.)A fully ACID in-memory object graph databaseOpen-source Time Series DBMS and monitoring systemAdaptable, secure NoSQL built on Apache AccumuloTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSDocument store
Object oriented DBMS
Time Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitewww.microsoft.com/­en-us/­microsoft-365/­accessorigodb.comprometheus.iosqrrl.comgithub.com/­thinkaurelius/­titan
Technical documentationdeveloper.microsoft.com/­en-us/­accessorigodb.com/­docsprometheus.io/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperMicrosoftRobert Friberg et alAmazon infooriginally Sqrrl Data, Inc.Aurelius, owned by DataStax
Initial release19922009 infounder the name LiveDB201520122012
Current release1902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficeOpen SourceOpen Source infoApache 2.0commercialOpen Source infoApache license, version 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++C#GoJavaJava
Server operating systemsWindows infoNot a real database server, but making use of DLLsLinux
Windows
Linux
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsNumeric data onlyyesyes
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 infocan be achieved using .NETno infoImport of XML data possible
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infobut not compliant to any SQL standardnononono
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
.NET Client API
HTTP API
LINQ
RESTful HTTP/JSON APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Clojure
Java
Python
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-engineyesnonoyes
Triggersyes infosince Access 2010 using the ACE-engineyes infoDomain Eventsnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronizedShardingSharding infomaking use of Hadoopyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes infoby Federationselectable replication factor infomaking use of Hadoopyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesdepending on modelnonoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingACIDnoAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyes infoWrite ahead logyesyesyes 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.yesno
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003Role based authorizationnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)User authentification and security via Rexster Graph Server

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Microsoft AccessOrigoDBPrometheusSqrrlTitan
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