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DBMS > ReductStore vs. SWC-DB vs. Transwarp Hippo vs. Yanza

System Properties Comparison ReductStore vs. SWC-DB vs. Transwarp Hippo vs. Yanza

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Editorial information provided by DB-Engines
NameReductStore  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTranswarp Hippo  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.A high performance, scalable Wide Column DBMSCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasetsTime Series DBMS for IoT Applications
Primary database modelTime Series DBMSWide column storeVector DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Score0.05
Rank#386  Overall
#16  Vector DBMS
Websitegithub.com/­reductstore
www.reduct.store
github.com/­kashirin-alex/­swc-db
www.swcdb.org
www.transwarp.cn/­en/­subproduct/­hippoyanza.com
Technical documentationwww.reduct.store/­docs
DeveloperReductStore LLCAlex KashirinYanza
Initial release2023202020232015
Current release1.9, March 20240.5, April 20211.0, May 2023
License infoCommercial or Open SourceOpen Source infoBusiness Source License 1.1Open Source infoGPL V3commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, RustC++C++
Server operating systemsDocker
Linux
macOS
Windows
LinuxLinux
macOS
Windows
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateVector, Numeric and Stringno
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 indexesnono
SQL infoSupport of SQLSQL-like query languagenono
APIs and other access methodsHTTP APIProprietary protocol
Thrift
RESTful HTTP APIHTTP API
Supported programming languagesC++
JavaScript (Node.js)
Python
Rust
C++C++
Java
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonono
Triggersnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
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.noyes
User concepts infoAccess controlRole based access control and fine grained access rightsno

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More resources
ReductStoreSWC-DB infoSuper Wide Column DatabaseTranswarp HippoYanza
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