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DBMS > LMDB vs. MonetDB vs. TigerGraph vs. Yanza

System Properties Comparison LMDB vs. MonetDB vs. TigerGraph vs. Yanza

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Editorial information provided by DB-Engines
NameLMDB  Xexclude from comparisonMonetDB  Xexclude from comparisonTigerGraph  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA high performant, light-weight, embedded key-value database libraryA relational database management system that stores data in columnsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeTime Series DBMS for IoT Applications
Primary database modelKey-value storeRelational DBMSGraph DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#125  Overall
#21  Key-value stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.symas.com/­symas-embedded-database-lmdbwww.monetdb.orgwww.tigergraph.comyanza.com
Technical documentationwww.lmdb.tech/­docwww.monetdb.org/­Documentationdocs.tigergraph.com
DeveloperSymasMonetDB BVYanza
Initial release2011200420172015
Current release0.9.32, January 2024Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen SourceOpen Source infoMozilla Public License 2.0commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCC++
Server operating systemsLinux
Unix
Windows
FreeBSD
Linux
OS X
Solaris
Windows
LinuxWindows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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
Secondary indexesnoyesno
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsSQL-like query language (GSQL)no
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
HTTP API
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++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyes, in SQL, C, Ryesno
Triggersnoyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneSharding via remote tablesnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoSource-replica replication available in experimental statusnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardRole-based access controlno

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More resources
LMDBMonetDBTigerGraphYanza
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