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DBMS > Apache Hive vs. ReductStore vs. VictoriaMetrics

System Properties Comparison Apache Hive vs. ReductStore vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonReductStore  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopDesigned 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 fast, cost-effective and scalable Time Series DBMS and monitoring solution
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
Score1.37
Rank#152  Overall
#15  Time Series DBMS
Websitehive.apache.orggithub.com/­reductstore
www.reduct.store
victoriametrics.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.reduct.store/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software Foundation infoinitially developed by FacebookReductStore LLCVictoriaMetrics
Initial release201220232018
Current release3.1.3, April 20221.9, March 2024v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBusiness Source License 1.1Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, RustGo
Server operating systemsAll OS with a Java VMDocker
Linux
macOS
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyes
Typing infopredefined data types such as float or dateyes
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 indexesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Thrift
HTTP APIGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
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 factorSynchronous replication
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 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.no
User concepts infoAccess controlAccess rights for users, groups and roles

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More resources
Apache HiveReductStoreVictoriaMetrics
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