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DBMS > Interbase vs. IRONdb vs. KairosDB vs. Neo4j

System Properties Comparison Interbase vs. IRONdb vs. KairosDB vs. Neo4j

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Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonIRONdb  Xexclude from comparisonKairosDB  Xexclude from comparisonNeo4j  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionLight-weight proven RDBMS infooriginally from BorlandA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityDistributed Time Series DBMS based on Cassandra or H2Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Websitewww.embarcadero.com/­products/­interbasewww.circonus.com/solutions/time-series-database/github.com/­kairosdb/­kairosdbneo4j.com
Technical documentationdocs.embarcadero.com/­products/­interbasedocs.circonus.com/irondb/category/getting-startedkairosdb.github.ioneo4j.com/­docs
DeveloperEmbarcaderoCirconus LLC.Neo4j, Inc.
Initial release1984201720132007
Current releaseInterBase 2020, December 2019V0.10.20, January 20181.2.2, November 20185.20, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoGPL version3, commercial licenses 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 languageCC and C++JavaJava, Scala
Server operating systemsAndroid
iOS
Linux
OS X
Windows
LinuxLinux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes
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.no infoexport as XML data possiblenono
Secondary indexesyesnonoyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP APIGraphite protocol
HTTP REST
Telnet API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
JavaScript infoNode.js
PHP
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger languageyes, in Luanoyes infoUser defined Procedures and Functions
Triggersyesnonoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic, metric affinity per nodeSharding infobased on Cassandrayes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change Viewsconfigurable replication factor, datacenter awareselectable replication factor infobased on CassandraCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyesyes
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnosimple password-based access controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
InterbaseIRONdbKairosDBNeo4j
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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