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DBMS > LMDB vs. Netezza vs. ObjectBox vs. RDF4J vs. Sphinx

System Properties Comparison LMDB vs. Netezza vs. ObjectBox vs. RDF4J vs. Sphinx

Editorial information provided by DB-Engines
NameLMDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonObjectBox  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA high performant, light-weight, embedded key-value database libraryData warehouse and analytics appliance part of IBM PureSystemsExtremely fast embedded database for small devices, IoT and MobileRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeRelational DBMSObject oriented DBMSRDF storeSearch engine
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#125  Overall
#21  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.symas.com/­symas-embedded-database-lmdbwww.ibm.com/­products/­netezzaobjectbox.iordf4j.orgsphinxsearch.com
Technical documentationwww.lmdb.tech/­docdocs.objectbox.iordf4j.org/­documentationsphinxsearch.com/­docs
DeveloperSymasIBMObjectBox LimitedSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Sphinx Technologies Inc.
Initial release20112000201720042001
Current release0.9.32, January 20243.5.1, February 2023
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache License 2.0Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and C++JavaC++
Server operating systemsLinux
Unix
Windows
Linux infoincluded in applianceAndroid
iOS
Linux
macOS
Windows
Linux
OS X
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesyesno
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.nono
Secondary indexesnoyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesnonoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
OLE DB
Proprietary native APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Proprietary protocol
Supported programming languages.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesnoyesno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationonline/offline synchronization between client and servernonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoUsers with fine-grained authorization conceptyesnono
More information provided by the system vendor
LMDBNetezza infoAlso called PureData System for Analytics by IBMObjectBoxRDF4J infoformerly known as SesameSphinx
News

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21 May 2024

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16 May 2024

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15 February 2024

Data Viewer for Objects – announcing ObjectBox Admin
14 November 2023

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More resources
LMDBNetezza infoAlso called PureData System for Analytics by IBMObjectBoxRDF4J infoformerly known as SesameSphinx
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