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DBMS > Apache Spark (SQL) vs. ArcadeDB vs. Oracle Rdb

System Properties Comparison Apache Spark (SQL) vs. ArcadeDB vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonArcadeDB  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewritten
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.40
Rank#29  Overall
#18  Relational DBMS
Score0.06
Rank#351  Overall
#49  Document stores
#36  Graph DBMS
#52  Key-value stores
#34  Time Series DBMS
Score0.92
Rank#190  Overall
#88  Relational DBMS
Websitespark.apache.org/­sqlarcadedb.comwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.arcadedb.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperApache Software FoundationArcade DataOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release201420211984
Current release3.5.0 ( 2.13), September 2023September 20217.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VMHP Open VMS
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyes
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
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language, no joinsyes
APIs and other access methodsJDBC
ODBC
JDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
Supported programming languagesJava
Python
R
Scala
Java
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlno

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More resources
Apache Spark (SQL)ArcadeDBOracle Rdb
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