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DBMS > IRONdb vs. Neo4j vs. ObjectBox vs. Tkrzw

System Properties Comparison IRONdb vs. Neo4j vs. ObjectBox vs. Tkrzw

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonNeo4j  Xexclude from comparisonObjectBox  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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 simplicityScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsExtremely fast embedded database for small devices, IoT and MobileA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSGraph DBMSObject oriented DBMSKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.circonus.com/solutions/time-series-database/neo4j.comobjectbox.iodbmx.net/­tkrzw
Technical documentationdocs.circonus.com/irondb/category/getting-startedneo4j.com/­docsdocs.objectbox.io
DeveloperCirconus LLC.Neo4j, Inc.ObjectBox LimitedMikio Hirabayashi
Initial release2017200720172020
Current releaseV0.10.20, January 20185.19, April 20240.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache License 2.0Open Source infoApache Version 2.0
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++Java, ScalaC and C++C++
Server operating systemsLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Android
iOS
Linux
macOS
Windows
Linux
macOS
Data schemeschema-freeschema-free and schema-optionalyesschema-free
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesno
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 indexesnoyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)nonono
APIs and other access methodsHTTP APIBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Proprietary native 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
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes, in Luayes infoUser defined Procedures and Functionsnono
Triggersnoyes infovia event handlernono
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeyes using Neo4j Fabricnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyonline/offline synchronization between client and servernone
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 nodesCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes infousing specific database classes
User concepts infoAccess controlnoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)yesno
More information provided by the system vendor
IRONdbNeo4jObjectBoxTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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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