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DBMS > HugeGraph vs. LMDB vs. NSDb vs. Trafodion

System Properties Comparison HugeGraph vs. LMDB vs. NSDb vs. Trafodion

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonLMDB  Xexclude from comparisonNSDb  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA fast-speed and highly-scalable Graph DBMSA high performant, light-weight, embedded key-value database libraryScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMSKey-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.symas.com/­symas-embedded-database-lmdbnsdb.iotrafodion.apache.org
Technical documentationhugegraph.apache.org/­docswww.lmdb.tech/­docnsdb.io/­Architecturetrafodion.apache.org/­documentation.html
DeveloperBaiduSymasApache Software Foundation, originally developed by HP
Initial release2018201120172014
Current release0.90.9.32, January 20242.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0
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 languageJavaCJava, ScalaC++, Java
Server operating systemsLinux
macOS
Unix
Linux
Unix
Windows
Linux
macOS
Linux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyes
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.nononono
Secondary indexesyes infoalso supports composite index and range indexnoall fields are automatically indexedyes
SQL infoSupport of SQLnonoSQL-like query languageyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
ODBC
Supported programming languagesGroovy
Java
Python
.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
Java
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnonoJava Stored Procedures
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlUsers, roles and permissionsnofine grained access rights according to SQL-standard

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More resources
HugeGraphLMDBNSDbTrafodion
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