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DBMS > FeatureBase vs. Hive vs. InfinityDB vs. Microsoft SQL Server

System Properties Comparison FeatureBase vs. Hive vs. InfinityDB vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonHive  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.data 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 DBMS
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
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
Websitewww.featurebase.comhive.apache.orgboilerbay.comwww.microsoft.com/­en-us/­sql-server
Technical documentationdocs.featurebase.comcwiki.apache.org/­confluence/­display/­Hive/­Homeboilerbay.com/­infinitydb/­manuallearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperMolecula and Pilosa Open Source ContributorsApache Software Foundation infoinitially developed by FacebookBoiler Bay Inc.Microsoft
Initial release2017201220021989
Current release2022, May 20223.1.3, April 20224.0SQL Server 2022, November 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJavaC++
Server operating systemsLinux
macOS
All OS with a Java VMAll OS with a Java VMLinux
Windows
Data schemeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.nonoyes
Secondary indexesnoyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLSQL queriesSQL-like DML and DDL statementsnoyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JDBC
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)
Supported programming languagesJava
Python
C++
Java
PHP
Python
JavaC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornoneyes, but depending on the SQL-Server Edition
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 Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integrityyesnono infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and rolesnofine grained access rights according to SQL-standard

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More resources
FeatureBaseHiveInfinityDBMicrosoft SQL Server
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