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DBMS > Graph Engine vs. LMDB vs. Postgres-XL vs. RavenDB

System Properties Comparison Graph Engine vs. LMDB vs. Postgres-XL vs. RavenDB

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonLMDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA high performant, light-weight, embedded key-value database libraryBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMS
Key-value store
Key-value storeRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score2.09
Rank#121  Overall
#20  Key-value stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitewww.graphengine.iowww.symas.com/­symas-embedded-database-lmdbwww.postgres-xl.orgravendb.net
Technical documentationwww.graphengine.io/­docs/­manualwww.lmdb.tech/­docwww.postgres-xl.org/­documentationravendb.net/­docs
DeveloperMicrosoftSymasHibernating Rhinos
Initial release201020112014 infosince 2012, originally named StormDB2010
Current release0.9.32, January 202410 R1, October 20185.4, July 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen SourceOpen Source infoMozilla public licenseOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CCCC#
Server operating systems.NETLinux
Unix
Windows
Linux
macOS
Linux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeyesschema-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.nonoyes infoXML type, but no XML query functionality
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoyes infodistributed, parallel query executionSQL-like query language (RQL)
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC#
C++
F#
Visual Basic
.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
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnouser defined functionsyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoMVCCACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardAuthorization levels configured per client per database

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More resources
Graph Engine infoformer name: TrinityLMDBPostgres-XLRavenDB
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