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DBMS > Dgraph vs. ObjectBox vs. OrigoDB vs. Spark SQL vs. Teradata

System Properties Comparison Dgraph vs. ObjectBox vs. OrigoDB vs. Spark SQL vs. Teradata

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonObjectBox  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSExtremely fast embedded database for small devices, IoT and MobileA fully ACID in-memory object graph databaseSpark SQL is a component on top of 'Spark Core' for structured data processingA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelGraph DBMSObject oriented DBMSDocument store
Object oriented DBMS
Relational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitedgraph.ioobjectbox.ioorigodb.comspark.apache.org/­sqlwww.teradata.com
Technical documentationdgraph.io/­docsdocs.objectbox.ioorigodb.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.teradata.com
DeveloperDgraph Labs, Inc.ObjectBox LimitedRobert Friberg et alApache Software FoundationTeradata
Initial release201620172009 infounder the name LiveDB20141984
Current release3.5.0 ( 2.13), September 2023Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache License 2.0Open SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++C#Scala
Server operating systemsLinux
OS X
Windows
Android
iOS
Linux
macOS
Windows
Linux
Windows
Linux
OS X
Windows
hosted
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyesyes
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.nonono infocan be achieved using .NETnoyes
Secondary indexesyesyesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnononoSQL-like DML and DDL statementsyes infoSQL 2016 + extensions
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Proprietary native API.NET Client API
HTTP API
LINQ
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.NetJava
Python
R
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyesnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyes infoDomain Eventsnoyes
Partitioning methods infoMethods for storing different data on different nodesyesnonehorizontal partitioning infoclient side managed; servers are not synchronizedyes, utilizing Spark CoreSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftonline/offline synchronization between client and serverSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesdepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlno infoPlanned for future releasesyesRole based authorizationnofine grained access rights according to SQL-standard
More information provided by the system vendor
DgraphObjectBoxOrigoDBSpark SQLTeradata
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More resources
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