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DBMS > Dgraph vs. Spark SQL vs. TigerGraph vs. TimesTen

System Properties Comparison Dgraph vs. Spark SQL vs. TigerGraph vs. TimesTen

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonSpark SQL  Xexclude from comparisonTigerGraph  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeIn-Memory RDBMS compatible to Oracle
Primary database modelGraph DBMSRelational DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitedgraph.iospark.apache.org/­sqlwww.tigergraph.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdgraph.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tigergraph.comdocs.oracle.com/­database/­timesten-18.1
DeveloperDgraph Labs, Inc.Apache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2016201420171998
Current release3.5.0 ( 2.13), September 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialcommercial
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 languageGoScalaC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language (GSQL)yes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
C++
Java
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnonoyesPL/SQL
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyesyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlno infoPlanned for future releasesnoRole-based access controlfine grained access rights according to SQL-standard

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More resources
DgraphSpark SQLTigerGraphTimesTen
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