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DBMS > Apache Hive vs. ReductStore vs. Transbase

System Properties Comparison Apache Hive vs. ReductStore vs. Transbase

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonReductStore  Xexclude from comparisonTransbase  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 resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSTime Series DBMSRelational 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
Score0.00
Rank#381  Overall
#156  Relational DBMS
Websitehive.apache.orggithub.com/­reductstore
www.reduct.store
www.transaction.de/­en/­products/­transbase.html
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.reduct.store/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software Foundation infoinitially developed by FacebookReductStore LLCTransaction Software GmbH
Initial release201220231987
Current release3.1.3, April 20221.9, March 2024Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBusiness Source License 1.1commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, RustC and C++
Server operating systemsAll OS with a Java VMDocker
Linux
macOS
Windows
FreeBSD
Linux
macOS
Solaris
Windows
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.no
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
Thrift
HTTP APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC++
Java
PHP
Python
C++
JavaScript (Node.js)
Python
Rust
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica 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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
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.no
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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More resources
Apache HiveReductStoreTransbase
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