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DBMS > FeatureBase vs. IRONdb vs. Neo4j vs. ToroDB

System Properties Comparison FeatureBase vs. IRONdb vs. Neo4j vs. ToroDB

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonIRONdb  Xexclude from comparisonNeo4j  Xexclude from comparisonToroDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A 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 offeringsA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSTime Series DBMSGraph DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Websitewww.featurebase.comwww.circonus.com/solutions/time-series-database/neo4j.comgithub.com/­torodb/­server
Technical documentationdocs.featurebase.comdocs.circonus.com/irondb/category/getting-startedneo4j.com/­docs
DeveloperMolecula and Pilosa Open Source ContributorsCirconus LLC.Neo4j, Inc.8Kdata
Initial release2017201720072016
Current release2022, May 2022V0.10.20, January 20185.20, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoAGPL-V3
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 languageGoC and C++Java, ScalaJava
Server operating systemsLinux
macOS
LinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
All OS with a Java 7 VM
Data schemeyesschema-freeschema-free and schema-optionalschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes infostring, integer, double, boolean, date, object_id
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 indexesnonoyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLSQL queriesSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
HTTP APIBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesJava
Python
.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
Server-side scripts infoStored proceduresyes, in Luayes infoUser defined Procedures and Functions
Triggersnonoyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeyes using Neo4j FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter awareCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users and roles
More information provided by the system vendor
FeatureBaseIRONdbNeo4jToroDB
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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