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DBMS > Hive vs. InfinityDB vs. Microsoft SQL Server vs. SiteWhere vs. YottaDB

System Properties Comparison Hive vs. InfinityDB vs. Microsoft SQL Server vs. SiteWhere vs. YottaDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSiteWhere  Xexclude from comparisonYottaDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA Java embedded Key-Value Store which extends the Java Map interfaceMicrosofts flagship relational DBMSM2M integration platform for persisting/querying time series dataA fast and solid embedded Key-value store
Primary database modelRelational DBMSKey-value storeRelational DBMSTime Series DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitehive.apache.orgboilerbay.comwww.microsoft.com/­en-us/­sql-servergithub.com/­sitewhere/­sitewhereyottadb.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeboilerbay.com/­infinitydb/­manuallearn.microsoft.com/­en-US/­sql/­sql-serversitewhere1.sitewhere.io/­index.htmlyottadb.com/­resources/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookBoiler Bay Inc.MicrosoftSiteWhereYottaDB, LLC
Initial release20122002198920102001
Current release3.1.3, April 20224.0SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial inforestricted free version is availableOpen Source infoCommon Public Attribution License Version 1.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++JavaC
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinux
Windows
Linux
OS X
Windows
Docker
Linux
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyespredefined schemeschema-free
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyesno
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.noyesnono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesnoby using the Octo plugin
APIs and other access methodsJDBC
ODBC
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP RESTPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC++
Java
PHP
Python
JavaC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federationSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyes, but depending on the SQL-Server Editionselectable replication factor infobased on HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users, groups and rolesnofine grained access rights according to SQL-standardUsers with fine-grained authorization conceptUsers and groups based on OS-security mechanisms

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More resources
HiveInfinityDBMicrosoft SQL ServerSiteWhereYottaDB
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