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DBMS > IRONdb vs. mSQL vs. Neo4j vs. STSdb

System Properties Comparison IRONdb vs. mSQL vs. Neo4j vs. STSdb

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonNeo4j  Xexclude from comparisonSTSdb  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 simplicitymSQL (Mini SQL) is a simple and lightweight RDBMSScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelTime Series DBMSRelational DBMSGraph DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitewww.circonus.com/solutions/time-series-database/hughestech.com.au/­products/­msqlneo4j.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.circonus.com/irondb/category/getting-startedneo4j.com/­docs
DeveloperCirconus LLC.Hughes TechnologiesNeo4j, Inc.STS Soft SC
Initial release2017199420072011
Current releaseV0.10.20, January 20184.4, October 20215.20, May 20244.0.8, September 2015
License infoCommercial or Open Sourcecommercialcommercial infofree licenses can be providedOpen Source infoGPL version3, commercial licenses availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageC and C++CJava, ScalaC#
Server operating systemsLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Windows
Data schemeschema-freeyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesyes infoprimitive types and user defined types (classes)
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 indexesnoyesyes infopluggable indexing subsystem, by default Apache Luceneno
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)A subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnono
APIs and other access methodsHTTP APIJDBC
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
.NET Client API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C#
Java
Server-side scripts infoStored proceduresyes, in Luanoyes infoUser defined Procedures and Functionsno
Triggersnonoyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenoneyes using Neo4j Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenoneCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesnoneCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnonoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)no
More information provided by the system vendor
IRONdbmSQL infoMini SQLNeo4jSTSdb
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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