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DBMS > Dgraph vs. EsgynDB vs. jBASE vs. NuoDB vs. Spark SQL

System Properties Comparison Dgraph vs. EsgynDB vs. jBASE vs. NuoDB vs. Spark SQL

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonjBASE  Xexclude from comparisonNuoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA robust multi-value DBMS comprising development tools and middlewareNuoDB is a webscale distributed database that supports SQL and ACID transactionsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMSRelational DBMSMultivalue DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitedgraph.iowww.esgyn.cnwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.3ds.com/­nuodb-distributed-sql-databasespark.apache.org/­sql
Technical documentationdgraph.io/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9doc.nuodb.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDgraph Labs, Inc.EsgynRocket Software (formerly Zumasys)Dassault Systèmes infooriginally NuoDB, Inc.Apache Software Foundation
Initial release20162015199120132014
Current release5.73.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial infolimited edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaC++Scala
Server operating systemsLinux
OS X
Windows
LinuxAIX
Linux
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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.nonoyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyesEmbedded SQL for jBASE in BASICyesSQL-like DML and DDL statements
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
Basic
Jabbascript
Java
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoJava Stored ProceduresyesJava, SQLno
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingdata is dynamically stored/cached on the nodes where it is read/writtenyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersyesyes infoManaged transparently by NuoDBnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infotunable commit protocolno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTemporary tableno
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelStandard SQL roles/ privileges, Administrative Usersno

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More resources
DgraphEsgynDBjBASENuoDBSpark SQL
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