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DBMS > LMDB vs. ObjectBox vs. Sphinx vs. Transwarp ArgoDB

System Properties Comparison LMDB vs. ObjectBox vs. Sphinx vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameLMDB  Xexclude from comparisonObjectBox  Xexclude from comparisonSphinx  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionA high performant, light-weight, embedded key-value database libraryExtremely fast embedded database for small devices, IoT and MobileOpen source search engine for searching in data from different sources, e.g. relational databasesDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelKey-value storeObject oriented DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#121  Overall
#20  Key-value stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.12
Rank#348  Overall
#151  Relational DBMS
Websitewww.symas.com/­symas-embedded-database-lmdbobjectbox.iosphinxsearch.comwww.transwarp.cn/­en/­product/­argodb
Technical documentationwww.lmdb.tech/­docdocs.objectbox.iosphinxsearch.com/­docsdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperSymasObjectBox LimitedSphinx Technologies Inc.Transwarp
Initial release201120172001
Current release0.9.32, January 20243.5.1, February 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoApache License 2.0Open Source infoGPL version 2, commercial licence availablecommercial
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.
Implementation languageCC and C++C++
Server operating systemsLinux
Unix
Windows
Android
iOS
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSQL-like query language (SphinxQL)yes
APIs and other access methodsProprietary native APIProprietary 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++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneonline/offline synchronization between client and servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesno
User concepts infoAccess controlnoyesno
More information provided by the system vendor
LMDBObjectBoxSphinxTranswarp ArgoDB
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