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DBMS > Apache Spark (SQL) vs. Interbase vs. Postgres-XL

System Properties Comparison Apache Spark (SQL) vs. Interbase vs. Postgres-XL

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Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonInterbase  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingLight-weight proven RDBMS infooriginally from BorlandBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.45
Rank#31  Overall
#19  Relational DBMS
Score3.55
Rank#74  Overall
#39  Relational DBMS
Score0.34
Rank#270  Overall
#124  Relational DBMS
Websitespark.apache.org/­sqlwww.embarcadero.com/­products/­interbasewww.postgres-xl.org
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.embarcadero.com/­products/­interbasewww.postgres-xl.org/­documentation
DeveloperApache Software FoundationEmbarcadero
Initial release201419842014 infosince 2012, originally named StormDB
Current release3.5.0 ( 2.13), September 2023InterBase 2020, December 201910 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaCC
Server operating systemsLinux
OS X
Windows
Android
iOS
Linux
OS X
Windows
Linux
macOS
Data schemeyesyesyes
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.nono infoexport as XML data possibleyes infoXML type, but no XML query functionality
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infodistributed, parallel query execution
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
Python
R
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languageuser defined functions
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInterbase Change Views
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 integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyes
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.noyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache Spark (SQL)InterbasePostgres-XL
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