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DBMS > Oracle Rdb vs. ReductStore vs. Spark SQL vs. STSdb

System Properties Comparison Oracle Rdb vs. ReductStore vs. Spark SQL vs. STSdb

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Editorial information provided by DB-Engines
NameOracle Rdb  Xexclude from comparisonReductStore  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Spark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSTime Series DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitewww.oracle.com/­database/­technologies/­related/­rdb.htmlgithub.com/­reductstore
www.reduct.store
spark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlwww.reduct.store/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperOracle, originally developed by Digital Equipment Corporation (DEC)ReductStore LLCApache Software FoundationSTS Soft SC
Initial release1984202320142011
Current release7.4.1.1, 20211.9, March 20243.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoBusiness Source License 1.1Open Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, RustScalaC#
Server operating systemsHP Open VMSDocker
Linux
macOS
Windows
Linux
OS X
Windows
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)
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
Secondary indexesyesnono
SQL infoSupport of SQLyesSQL-like DML and DDL statementsno
APIs and other access methodsHTTP APIJDBC
ODBC
.NET Client API
Supported programming languagesC++
JavaScript (Node.js)
Python
Rust
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodenono
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 controlnono

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More resources
Oracle RdbReductStoreSpark SQLSTSdb
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