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DBMS > HBase vs. Microsoft SQL Server vs. Pinecone vs. searchxml

System Properties Comparison HBase vs. Microsoft SQL Server vs. Pinecone vs. searchxml

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPinecone  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableMicrosofts flagship relational DBMSA managed, cloud-native vector databaseDBMS for structured and unstructured content wrapped with an application server
Primary database modelWide column storeRelational DBMSVector DBMSNative XML DBMS
Search engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websitehbase.apache.orgwww.microsoft.com/­en-us/­sql-serverwww.pinecone.iowww.searchxml.net/­category/­products
Technical documentationhbase.apache.org/­book.htmllearn.microsoft.com/­en-US/­sql/­sql-serverdocs.pinecone.io/­docs/­overviewwww.searchxml.net/­support/­handouts
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftPinecone Systems, Incinformationpartners gmbh
Initial release2008198920192015
Current release2.3.4, January 2021SQL Server 2022, November 20221.0
License infoCommercial or Open SourceOpen Source infoApache version 2commercial inforestricted free version is availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaC++C++
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
Windows
hostedWindows
Data schemeschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesString, Number, Booleanyes
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.noyesnoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyesnono
APIs and other access methodsJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
RESTful HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
PythonC++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyes infoCoprocessors in JavaTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes infoon the application server
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes, but depending on the SQL-Server Editionyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDmultiple readers, single writer
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.yesyesnono
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application services

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HBaseMicrosoft SQL ServerPineconesearchxml
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