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DBMS > JanusGraph vs. Microsoft Access vs. NSDb vs. openGemini vs. TDSQL for MySQL

System Properties Comparison JanusGraph vs. Microsoft Access vs. NSDb vs. openGemini vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNSDb  Xexclude from comparisonopenGemini  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionA 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.)Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityA 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 modelGraph DBMSRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitejanusgraph.orgwww.microsoft.com/­en-us/­microsoft-365/­accessnsdb.iowww.opengemini.org
github.com/­openGemini
www.tencentcloud.com/­products/­dcdb
Technical documentationdocs.janusgraph.orgdeveloper.microsoft.com/­en-us/­accessnsdb.io/­Architecturedocs.opengemini.org/­guidewww.tencentcloud.com/­document/­product/­1042
DeveloperLinux Foundation; originally developed as Titan by AureliusMicrosoftHuawei and openGemini communityTencent
Initial release20171992201720222013
Current release0.6.3, February 20231902 (16.0.11328.20222), March 20191.1, July 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2.0Open Source infoApache Version 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++Java, ScalaGo
Server operating systemsLinux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLsLinux
macOS
Linux
Windows
hosted
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringInteger, Float, Boolean, Stringyes
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.nononono
Secondary indexesyesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardSQL-like query languageSQL-like query languageyes
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
DAO
ODBC
OLE DB
gRPC
HTTP REST
WebSocket
HTTP RESTJDBC
ODBC
Supported programming languagesClojure
Java
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Scala
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyes infosince Access 2010 using the ACE-enginenonoyes
Triggersyesyes infosince Access 2010 using the ACE-enginenoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infobut no files for transaction loggingUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUser authentification and security via Rexster Graph Serverno infoa simple user-level security was built in till version Access 2003Administrators and common users accountsUsers with fine-grained authorization concept

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More resources
JanusGraph infosuccessor of TitanMicrosoft AccessNSDbopenGeminiTDSQL for MySQL
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