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DBMS > Hive vs. ReductStore vs. SwayDB vs. Ultipa

System Properties Comparison Hive vs. ReductStore vs. SwayDB vs. Ultipa

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonReductStore  Xexclude from comparisonSwayDB  Xexclude from comparisonUltipa  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, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelRelational DBMSTime Series DBMSKey-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websitehive.apache.orggithub.com/­reductstore
www.reduct.store
swaydb.simer.auwww.ultipa.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.reduct.store/­docswww.ultipa.com/­document
DeveloperApache Software Foundation infoinitially developed by FacebookReductStore LLCSimer PlahaUltipa
Initial release2012202320182019
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 infoGNU Affero GPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, RustScala
Server operating systemsAll OS with a Java VMDocker
Linux
macOS
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 APIRESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
C++
JavaScript (Node.js)
Python
Rust
Java
Kotlin
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone
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 integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of operations
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
HiveReductStoreSwayDBUltipa
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