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DBMS > Cachelot.io vs. InfinityDB vs. Interbase vs. IRONdb vs. RDF4J

System Properties Comparison Cachelot.io vs. InfinityDB vs. Interbase vs. IRONdb vs. RDF4J

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonInfinityDB  Xexclude from comparisonInterbase  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionIn-memory caching systemA Java embedded Key-Value Store which extends the Java Map interfaceLight-weight proven RDBMS infooriginally from BorlandA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelKey-value storeKey-value storeRelational DBMSTime Series DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#388  Overall
#62  Key-value stores
Score0.08
Rank#365  Overall
#55  Key-value stores
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitecachelot.ioboilerbay.comwww.embarcadero.com/­products/­interbasewww.circonus.com/solutions/time-series-database/rdf4j.org
Technical documentationboilerbay.com/­infinitydb/­manualdocs.embarcadero.com/­products/­interbasedocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentation
DeveloperBoiler Bay Inc.EmbarcaderoCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20152002198420172004
Current release4.0InterBase 2020, December 2019V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicensecommercialcommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaCC and C++Java
Server operating systemsFreeBSD
Linux
OS X
All OS with a Java VMAndroid
iOS
Linux
OS X
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or datenoyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes infotext, numeric, histogramsyes
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 infoexport as XML data possibleno
Secondary indexesnono infomanual creation possible, using inversions based on multi-value capabilityyesnoyes
SQL infoSupport of SQLnonoyesSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsMemcached protocolAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Java.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
PHP
Python
Server-side scripts infoStored proceduresnonoyes infoInterbase procedure and trigger languageyes, in Luayes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneInterbase Change Viewsconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentnoyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlnonofine grained access rights according to SQL-standardnono

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More resources
Cachelot.ioInfinityDBInterbaseIRONdbRDF4J infoformerly known as Sesame
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