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DBMS > IRONdb vs. ObjectBox vs. Oracle Berkeley DB vs. Sphinx vs. Valentina Server

System Properties Comparison IRONdb vs. ObjectBox vs. Oracle Berkeley DB vs. Sphinx vs. Valentina Server

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonObjectBox  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSphinx  Xexclude from comparisonValentina Server  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 simplicityExtremely fast embedded database for small devices, IoT and MobileWidely used in-process key-value storeOpen source search engine for searching in data from different sources, e.g. relational databasesObject-relational database and reports server
Primary database modelTime Series DBMSObject oriented DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Search engineRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/objectbox.iowww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlsphinxsearch.comwww.valentina-db.net
Technical documentationdocs.circonus.com/irondb/category/getting-starteddocs.objectbox.iodocs.oracle.com/­cd/­E17076_05/­html/­index.htmlsphinxsearch.com/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperCirconus LLC.ObjectBox LimitedOracle infooriginally developed by Sleepycat, which was acquired by OracleSphinx Technologies Inc.Paradigma Software
Initial release20172017199420011999
Current releaseV0.10.20, January 201818.1.40, May 20203.5.1, February 20235.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infocommercial license availableOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C and C++C, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemsLinuxAndroid
iOS
Linux
macOS
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesnonoyes
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.nonoyes infoonly with the Berkeley DB XML edition
Secondary indexesnoyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)noyes infoSQL interfaced based on SQLite is availableSQL-like query language (SphinxQL)yes
APIs and other access methodsHTTP APIProprietary native APIProprietary protocolODBC
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++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes, in Luanononoyes
Triggersnonoyes infoonly for the SQL APInoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareonline/offline synchronization between client and serverSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnoyesnonofine grained access rights according to SQL-standard
More information provided by the system vendor
IRONdbObjectBoxOracle Berkeley DBSphinxValentina Server
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