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DBMS > NSDb vs. OpenEdge vs. SiriDB vs. Spark SQL

System Properties Comparison NSDb vs. OpenEdge vs. SiriDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameNSDb  Xexclude from comparisonOpenEdge  Xexclude from comparisonSiriDB  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 systemOpen Source Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitensdb.iowww.progress.com/­openedgesiridb.comspark.apache.org/­sql
Technical documentationnsdb.io/­Architecturedocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.siridb.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperProgress Software CorporationCesbitApache Software Foundation
Initial release2017198420172014
Current releaseOpenEdge 12.2, March 20203.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoMIT LicenseOpen 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, ScalaCScala
Server operating systemsLinux
macOS
AIX
HP-UX
Linux
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyes: int, bigint, decimal, stringyesyes infoNumeric datayes
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 92noSQL-like DML and DDL statements
APIs and other access methodsgRPC
HTTP REST
WebSocket
JDBC
ODBC
HTTP APIJDBC
ODBC
Supported programming languagesJava
Scala
Progress proprietary ABL (Advanced Business Language)C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infosince Version 11.4Shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
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.noyesno
User concepts infoAccess controlUsers and groupssimple rights management via user accountsno

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More resources
NSDbOpenEdgeSiriDBSpark SQL
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