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DBMS > Apache Hive vs. ReductStore vs. Speedb

System Properties Comparison Apache Hive vs. ReductStore vs. Speedb

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonReductStore  Xexclude from comparisonSpeedb  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.An embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelRelational DBMSTime Series DBMSKey-value store
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
Score0.10
Rank#338  Overall
#48  Key-value stores
Websitehive.apache.orggithub.com/­reductstore
www.reduct.store
www.speedb.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.reduct.store/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookReductStore LLCSpeedb
Initial release201220232020
Current release3.1.3, April 20221.9, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBusiness Source License 1.1Open Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, RustC++
Server operating systemsAll OS with a Java VMDocker
Linux
macOS
Windows
Linux
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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 statementsno
APIs and other access methodsJDBC
ODBC
Thrift
HTTP API
Supported programming languagesC++
Java
PHP
Python
C++
JavaScript (Node.js)
Python
Rust
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes
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 controlAccess rights for users, groups and rolesno

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More resources
Apache HiveReductStoreSpeedb
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