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DBMS > Graph Engine vs. Sequoiadb vs. Spark SQL vs. TinkerGraph vs. Transbase

System Properties Comparison Graph Engine vs. Sequoiadb vs. Spark SQL vs. TinkerGraph vs. Transbase

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTinkerGraph  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processingA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelGraph DBMS
Key-value store
Document store
Relational DBMS
Relational DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#186  Overall
#17  Graph DBMS
#30  Key-value stores
Score0.42
Rank#250  Overall
#38  Document stores
#117  Relational DBMS
Score22.94
Rank#34  Overall
#20  Relational DBMS
Score0.12
Rank#306  Overall
#29  Graph DBMS
Score0.08
Rank#310  Overall
#139  Relational DBMS
Websitewww.graphengine.iowww.sequoiadb.comspark.apache.org/­sqltinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwww.transaction.de/­en/­solutions/­transbase-resource-optimized-high-performance-database
Technical documentationwww.graphengine.io/­docs/­manualwww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­transbase-inside
DeveloperMicrosoftSequoiadb Ltd.Apache Software FoundationTransaction Software GmbH
Initial release20102013201420091987
Current release3.2.0, October 2021Transbase 8.4, September 2020
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0Open Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC++ScalaJavaC and C++
Server operating systems.NETLinuxLinux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infooid, date, timestamp, binary, regexyesyesyes
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 indexesyesnonoyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statementsnoyes
APIs and other access methodsRESTful HTTP APIproprietary protocol using JSONJDBC
ODBC
TinkerPop 3ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC#
C++
F#
Visual Basic
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
Groovy
Java
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesJavaScriptnonoyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoDocument is locked during a transactionnonoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
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 storageyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyesno
User concepts infoAccess controlsimple password-based access controlnonofine grained access rights according to SQL-standard

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More resources
Graph Engine infoformer name: TrinitySequoiadbSpark SQLTinkerGraphTransbase
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