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DBMS > Graph Engine vs. Hive vs. Microsoft Access vs. Quasardb

System Properties Comparison Graph Engine vs. Hive vs. Microsoft Access vs. Quasardb

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation enginedata warehouse software for querying and managing large distributed datasets, built on HadoopMicrosoft 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 database
Primary database modelGraph DBMS
Key-value store
Relational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.graphengine.iohive.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accessquasar.ai
Technical documentationwww.graphengine.io/­docs/­manualcwiki.apache.org/­confluence/­display/­Hive/­Homedeveloper.microsoft.com/­en-us/­accessdoc.quasar.ai/­master
DeveloperMicrosoftApache Software Foundation infoinitially developed by FacebookMicrosoftquasardb
Initial release2010201219922009
Current release3.1.3, April 20221902 (16.0.11328.20222), March 20193.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2commercial infoBundled with Microsoft Officecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaC++C++
Server operating systems.NETAll OS with a Java VMWindows infoNot a real database server, but making use of DLLsBSD
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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 indexesyesyesyes infowith tags
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Supported programming languagesC#
C++
F#
Visual Basic
C++
Java
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceyes infosince Access 2010 using the ACE-engineno
Triggersnonoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 loggingyes infoby using LevelDB
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 controlAccess rights for users, groups and rolesno infoa simple user-level security was built in till version Access 2003Cryptographically strong user authentication and audit trail

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More resources
Graph Engine infoformer name: TrinityHiveMicrosoft AccessQuasardb
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