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DBMS > BigObject vs. ReductStore vs. Teradata

System Properties Comparison BigObject vs. ReductStore vs. Teradata

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonReductStore  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesDesigned 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)
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedTime Series 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
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitebigobject.iogithub.com/­reductstore
www.reduct.store
www.teradata.com
Technical documentationdocs.bigobject.iowww.reduct.store/­docsdocs.teradata.com
DeveloperBigObject, Inc.ReductStore LLCTeradata
Initial release201520231984
Current release1.9, March 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoBusiness Source License 1.1commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Rust
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Docker
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.noyes
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL 2016 + extensions
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
HTTP 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 proceduresLuayes infoUDFs, stored procedures, table functions in parallel
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yes
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.yesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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More resources
BigObjectReductStoreTeradata
DB-Engines blog posts

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