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DBMS > Apache Hive vs. Hyprcubd vs. ReductStore

System Properties Comparison Apache Hive vs. Hyprcubd vs. ReductStore

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonHyprcubd  Xexclude from comparisonReductStore  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopServerless Time Series DBMSDesigned 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.
Primary database modelRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.49
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#381  Overall
#40  Time Series DBMS
Websitehive.apache.orghyprcubd.com (offline)github.com/­reductstore
www.reduct.store
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.reduct.store/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookHyprcubd, Inc.ReductStore LLC
Initial release20122023
Current release3.1.3, April 20221.9, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++, Rust
Server operating systemsAll OS with a Java VMhostedDocker
Linux
macOS
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, string
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.no
Secondary indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
gRPC (https)HTTP API
Supported programming languagesC++
Java
PHP
Python
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesno
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.no
User concepts infoAccess controlAccess rights for users, groups and rolestoken access

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More resources
Apache HiveHyprcubdReductStore
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