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DBMS > ReductStore vs. Teradata vs. Transwarp KunDB

System Properties Comparison ReductStore vs. Teradata vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameReductStore  Xexclude from comparisonTeradata  Xexclude from comparisonTranswarp KunDB  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.A hybrid cloud data analytics software platform (Teradata Vantage)OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.10
Rank#344  Overall
#151  Relational DBMS
Websitegithub.com/­reductstore
www.reduct.store
www.teradata.comwww.transwarp.cn/­en/­product/­kundb
Technical documentationwww.reduct.store/­docsdocs.teradata.com
DeveloperReductStore LLCTeradataTranswarp
Initial release20231984
Current release1.9, March 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoBusiness Source License 1.1commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Rust
Server operating systemsDocker
Linux
macOS
Windows
hosted
Linux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.yes
Secondary indexesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLyes infoSQL 2016 + extensionsyes
APIs and other access methodsHTTP API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC++
JavaScript (Node.js)
Python
Rust
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes infoUDFs, stored procedures, table functions in parallelyes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoHashinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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 datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes

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More resources
ReductStoreTeradataTranswarp KunDB
DB-Engines blog posts

Teradata is the most popular data warehouse DBMS
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