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DBMS > Hive vs. SpaceTime vs. STSdb vs. Yanza

System Properties Comparison Hive vs. SpaceTime vs. STSdb vs. Yanza

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonSpaceTime  Xexclude from comparisonSTSdb  Xexclude from comparisonYanza  Xexclude from comparison
Yanza 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 HadoopSpaceTime is a spatio-temporal DBMS with a focus on performance.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing methodTime Series DBMS for IoT Applications
Primary database modelRelational DBMSSpatial DBMSKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitehive.apache.orgwww.mireo.com/­spacetimegithub.com/­STSSoft/­STSdb4yanza.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperApache Software Foundation infoinitially developed by FacebookMireoSTS Soft SCYanza
Initial release2012202020112015
Current release3.1.3, April 20224.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGPLv2, commercial license availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#
Server operating systemsAll OS with a Java VMLinuxWindowsWindows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)no
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.nono
Secondary indexesyesnonono
SQL infoSupport of SQLSQL-like DML and DDL statementsA subset of ANSI SQL is implementednono
APIs and other access methodsJDBC
ODBC
Thrift
RESTful HTTP API.NET Client APIHTTP API
Supported programming languagesC++
Java
PHP
Python
C#
C++
Python
C#
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonono
Triggersnononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingFixed-grid hypercubesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorReal-time block device replication (DRBD)nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 rolesyesnono

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More resources
HiveSpaceTimeSTSdbYanza
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