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DBMS > ObjectBox vs. Pinecone vs. ReductStore vs. Trafodion

System Properties Comparison ObjectBox vs. Pinecone vs. ReductStore vs. Trafodion

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Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonPinecone  Xexclude from comparisonReductStore  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA managed, cloud-native vector databaseDesigned 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.Transactional SQL-on-Hadoop DBMS
Primary database modelObject oriented DBMS
Vector DBMS
Vector DBMSTime Series 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
#7  Vector DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websitegithub.com/­objectbox
objectbox.io
www.pinecone.iogithub.com/­reductstore
www.reduct.store
trafodion.apache.org
Technical documentationdocs.objectbox.iodocs.pinecone.io/­docs/­overviewwww.reduct.store/­docstrafodion.apache.org/­documentation.html
DeveloperObjectBox LimitedPinecone Systems, IncReductStore LLCApache Software Foundation, originally developed by HP
Initial release2017201920232014
Current release4.0 (May 2024)1.9, March 20242.3.0, February 2019
License infoCommercial or Open SourceBindings are released under Apache 2.0 infoApache License 2.0commercialOpen Source infoBusiness Source License 1.1Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++, RustC++, Java
Server operating systemsAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
hostedDocker
Linux
macOS
Windows
Linux
Data schemeyesyes
Typing infopredefined data types such as float or dateyes, plus "flex" map-like typesString, Number, Booleanyes
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.nonono
Secondary indexesyesyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsProprietary native APIRESTful HTTP APIHTTP APIADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
PythonC++
JavaScript (Node.js)
Python
Rust
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoJava Stored Procedures
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesData sync between devices allowing occasional connected databases to work completely offlineyes, 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 Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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.nonono
User concepts infoAccess controlyesfine grained access rights according to SQL-standard
More information provided by the system vendor
ObjectBoxPineconeReductStoreTrafodion
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