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DBMS > Apache Drill vs. JanusGraph vs. Microsoft Access vs. MonetDB vs. TDSQL for MySQL

System Properties Comparison Apache Drill vs. JanusGraph vs. Microsoft Access vs. MonetDB vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMonetDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Microsoft 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 relational database management system that stores data in columnsA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelDocument store
Relational DBMS
Graph DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitedrill.apache.orgjanusgraph.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.monetdb.orgwww.tencentcloud.com/­products/­dcdb
Technical documentationdrill.apache.org/­docsdocs.janusgraph.orgdeveloper.microsoft.com/­en-us/­accesswww.monetdb.org/­Documentationwww.tencentcloud.com/­document/­product/­1042
DeveloperApache Software FoundationLinux Foundation; originally developed as Titan by AureliusMicrosoftMonetDB BVTencent
Initial release20122017199220042013
Current release1.20.3, January 20230.6.3, February 20231902 (16.0.11328.20222), March 2019Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source infoMozilla Public License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C
Server operating systemsLinux
OS X
Windows
Linux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLsFreeBSD
Linux
OS X
Solaris
Windows
hosted
Data schemeschema-freeyesyesyesyes
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.nonono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoyes infobut not compliant to any SQL standardyes infoSQL 2003 with some extensionsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
DAO
ODBC
OLE DB
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
Supported programming languagesC++Clojure
Java
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesyes infosince Access 2010 using the ACE-engineyes, in SQL, C, Ryes
Triggersnoyesyes infosince Access 2010 using the ACE-engineyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneSharding via remote tablesAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Faunus, a graph analytics enginenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceno
User concepts infoAccess controlDepending on the underlying data sourceUser authentification and security via Rexster Graph Serverno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Apache DrillJanusGraph infosuccessor of TitanMicrosoft AccessMonetDBTDSQL for MySQL
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