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DBMS > ObjectBox vs. ReductStore vs. SQream DB vs. Trafodion

System Properties Comparison ObjectBox vs. ReductStore vs. SQream DB vs. Trafodion

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Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonReductStore  Xexclude from comparisonSQream DB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionExtremely fast embedded database for small devices, IoT and MobileDesigned 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.a GPU-based, columnar RDBMS for big data analytics workloadsTransactional SQL-on-Hadoop DBMS
Primary database modelObject oriented DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websiteobjectbox.iogithub.com/­reductstore
www.reduct.store
sqream.comtrafodion.apache.org
Technical documentationdocs.objectbox.iowww.reduct.store/­docsdocs.sqream.comtrafodion.apache.org/­documentation.html
DeveloperObjectBox LimitedReductStore LLCSQream TechnologiesApache Software Foundation, originally developed by HP
Initial release2017202320172014
Current release1.9, March 20242022.1.6, December 20222.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoBusiness Source License 1.1commercialOpen 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 languageC and C++C++, RustC++, CUDA, Haskell, Java, ScalaC++, Java
Server operating systemsAndroid
iOS
Linux
macOS
Windows
Docker
Linux
macOS
Windows
LinuxLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyes
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 indexesyesnoyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsProprietary native APIHTTP API.Net
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++
JavaScript (Node.js)
Python
Rust
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnouser defined functions in PythonJava Stored Procedures
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and servernoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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 controlyesfine grained access rights according to SQL-standard
More information provided by the system vendor
ObjectBoxReductStoreSQream DBTrafodion
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