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DBMS > Graph Engine vs. Lovefield vs. Microsoft Azure Synapse Analytics vs. Oracle Rdb vs. TinkerGraph

System Properties Comparison Graph Engine vs. Lovefield vs. Microsoft Azure Synapse Analytics vs. Oracle Rdb vs. TinkerGraph

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOracle Rdb  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineEmbeddable relational database for web apps written in pure JavaScriptElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelGraph DBMS
Key-value store
Relational DBMSRelational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitewww.graphengine.iogoogle.github.io/­lovefieldazure.microsoft.com/­services/­synapse-analyticswww.oracle.com/­database/­technologies/­related/­rdb.htmltinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationwww.graphengine.io/­docs/­manualgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­azure/­synapse-analyticswww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperMicrosoftGoogleMicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20102014201619842009
Current release2.1.12, February 20177.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaScriptC++Java
Server operating systems.NETserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedHP Open VMS
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternyesyesno
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
TinkerPop 3
Supported programming languagesC#
C++
F#
Visual Basic
JavaScriptC#
Java
PHP
Groovy
Java
Server-side scripts infoStored proceduresyesnoTransact SQLno
TriggersnoUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
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 storageyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDBnoyes
User concepts infoAccess controlnoyesno

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More resources
Graph Engine infoformer name: TrinityLovefieldMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOracle RdbTinkerGraph
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