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DBMS > Hive vs. Sadas Engine vs. SiteWhere

System Properties Comparison Hive vs. Sadas Engine vs. SiteWhere

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonSadas Engine  Xexclude from comparisonSiteWhere  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSRelational DBMSTime Series 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
#158  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitehive.apache.orgwww.sadasengine.comgithub.com/­sitewhere/­sitewhere
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation infoinitially developed by FacebookSADAS s.r.l.SiteWhere
Initial release201220062010
Current release3.1.3, April 20228.0
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree trial version availableOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsAll OS with a Java VMAIX
Linux
Windows
Linux
OS X
Windows
Data schemeyesyespredefined scheme
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
Proprietary protocol
HTTP REST
Supported programming languagesC++
Java
PHP
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization concept

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More resources
HiveSadas EngineSiteWhere
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