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DBMS > IRONdb vs. JanusGraph vs. Microsoft Access vs. PouchDB vs. TDSQL for MySQL

System Properties Comparison IRONdb vs. JanusGraph vs. Microsoft Access vs. PouchDB vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPouchDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA 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.)JavaScript DBMS with an API inspired by CouchDBA 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 modelTime Series DBMSGraph DBMSRelational DBMSDocument storeRelational 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
Score2.28
Rank#115  Overall
#21  Document stores
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/janusgraph.orgwww.microsoft.com/­en-us/­microsoft-365/­accesspouchdb.comwww.tencentcloud.com/­products/­dcdb
Technical documentationdocs.circonus.com/irondb/category/getting-starteddocs.janusgraph.orgdeveloper.microsoft.com/­en-us/­accesspouchdb.com/­guideswww.tencentcloud.com/­document/­product/­1042
DeveloperCirconus LLC.Linux Foundation; originally developed as Titan by AureliusMicrosoftApache Software FoundationTencent
Initial release20172017199220122013
Current releaseV0.10.20, January 20180.6.3, February 20231902 (16.0.11328.20222), March 20197.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Sourcecommercial
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 languageC and C++JavaC++JavaScript
Server operating systemsLinuxLinux
OS X
Unix
Windows
Windows infoNot a real database server, but making use of DLLsserver-less, requires a JavaScript environment (browser, Node.js)hosted
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesnoyes
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 indexesnoyesyesyes infovia viewsyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)noyes infobut not compliant to any SQL standardnoyes
APIs and other access methodsHTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
DAO
ODBC
OLE DB
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Clojure
Java
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
JavaScriptC
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes, in Luayesyes infosince Access 2010 using the ACE-engineView functions in JavaScriptyes
Triggersnoyesyes infosince Access 2010 using the ACE-engineyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneSharding infowith a proxy-based framework, named couchdb-loungeAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyesnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infobut no files for transaction loggingyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoUser authentification and security via Rexster Graph Serverno infoa simple user-level security was built in till version Access 2003noUsers with fine-grained authorization concept

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More resources
IRONdbJanusGraph infosuccessor of TitanMicrosoft AccessPouchDBTDSQL for MySQL
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