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DBMS > Graph Engine vs. Postgres-XL vs. RavenDB vs. Warp 10

System Properties Comparison Graph Engine vs. Postgres-XL vs. RavenDB vs. Warp 10

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRavenDB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelGraph DBMS
Key-value store
Relational DBMSDocument storeTime Series DBMS
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
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.graphengine.iowww.postgres-xl.orgravendb.netwww.warp10.io
Technical documentationwww.graphengine.io/­docs/­manualwww.postgres-xl.org/­documentationravendb.net/­docswww.warp10.io/­content/­02_Getting_started
DeveloperMicrosoftHibernating RhinosSenX
Initial release20102014 infosince 2012, originally named StormDB20102015
Current release10 R1, October 20185.4, July 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoMozilla public licenseOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache License 2.0
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 CCC#Java
Server operating systems.NETLinux
macOS
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesno
SQL infoSupport of SQLnoyes infodistributed, parallel query executionSQL-like query language (RQL)no
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
HTTP API
Jupyter
WebSocket
Supported programming languagesC#
C++
F#
Visual Basic
.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 proceduresyesuser defined functionsyesyes infoWarpScript
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCACID, Cluster-wide transaction availableno
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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAuthorization levels configured per client per databaseMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Graph Engine infoformer name: TrinityPostgres-XLRavenDBWarp 10
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