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DBMS > NSDb vs. OpenEdge vs. Oracle Rdb vs. Spark SQL

System Properties Comparison NSDb vs. OpenEdge vs. Oracle Rdb vs. Spark SQL

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Editorial information provided by DB-Engines
NameNSDb  Xexclude from comparisonOpenEdge  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesApplication development environment with integrated database management systemSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitensdb.iowww.progress.com/­openedgewww.oracle.com/­database/­technologies/­related/­rdb.htmlspark.apache.org/­sql
Technical documentationnsdb.io/­Architecturedocumentation.progress.com/­output/­ua/­OpenEdge_latestwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperProgress Software CorporationOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software Foundation
Initial release2017198419842014
Current releaseOpenEdge 12.2, March 20207.4.1.1, 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ScalaScala
Server operating systemsLinux
macOS
AIX
HP-UX
Linux
Solaris
Windows
HP Open VMSLinux
OS X
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringyesyesyes
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.noyesnono
Secondary indexesall fields are automatically indexedyesyesno
SQL infoSupport of SQLSQL-like query languageyes infoclose to SQL 92yesSQL-like DML and DDL statements
APIs and other access methodsgRPC
HTTP REST
WebSocket
JDBC
ODBC
JDBC
ODBC
Supported programming languagesJava
Scala
Progress proprietary ABL (Advanced Business Language)Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infosince Version 11.4yes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentUsing Apache Luceneyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlUsers and groupsno

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More resources
NSDbOpenEdgeOracle RdbSpark SQL
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