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DBMS > Badger vs. RDF4J vs. RisingWave vs. SAP SQL Anywhere vs. Spark SQL

System Properties Comparison Badger vs. RDF4J vs. RisingWave vs. SAP SQL Anywhere vs. Spark SQL

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRisingWave  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A distributed RDBMS for stream processing, wire-compatible with PostgreSQLRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeRDF storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerrdf4j.orgwww.risingwave.com/­databasewww.sap.com/­products/­technology-platform/­sql-anywhere.htmlspark.apache.org/­sql
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerrdf4j.org/­documentationdocs.risingwave.com/­docs/­current/­introhelp.sap.com/­docs/­SAP_SQL_Anywherespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDGraph LabsSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.RisingWave LabsSAP infoformerly SybaseApache Software Foundation
Initial release20172004202219922014
Current release1.2, September 202317, July 20153.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaRustScala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Docker
Linux
macOS
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyes infoRDF Schemasyesyesyes
Typing infopredefined data types such as float or datenoyesStandard SQL-types and JSONyesyes
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.nonoyesno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnonoyesyesSQL-like DML and DDL statements
APIs and other access methodsJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
PostgreSQL wire protocol
ADO.NET
HTTP API
JDBC
ODBC
JDBC
ODBC
Supported programming languagesGoJava
PHP
Python
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesUDFs in Python or Javayes, in C/C++, Java, .Net or Perlno
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication infoDatabase mirroringnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usednoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnonoUsers and Rolesfine grained access rights according to SQL-standardno

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More resources
BadgerRDF4J infoformerly known as SesameRisingWaveSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpark SQL
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