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DBMS > Apache Phoenix vs. Microsoft SQL Server vs. SQLite vs. Typesense

System Properties Comparison Apache Phoenix vs. Microsoft SQL Server vs. SQLite vs. Typesense

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSQLite  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseMicrosofts flagship relational DBMSWidely used embeddable, in-process RDBMSA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Score0.76
Rank#219  Overall
#14  Search engines
Websitephoenix.apache.orgwww.microsoft.com/­en-us/­sql-serverwww.sqlite.orgtypesense.org
Technical documentationphoenix.apache.orglearn.microsoft.com/­en-US/­sql/­sql-serverwww.sqlite.org/­docs.htmltypesense.org/­docs
DeveloperApache Software FoundationMicrosoftDwayne Richard Hipp
Initial release2014198920002015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019SQL Server 2022, November 20223.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial inforestricted free version is availableOpen Source infoPublic DomainOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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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++CC++
Server operating systemsLinux
Unix
Windows
Linux
Windows
server-lessLinux
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyes infodynamic column typesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyesyes infonot rigid because of 'dynamic typing' concept.yes
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.noyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesyes infoSQL-92 is not fully supportedno
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresuser defined functionsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanono
Triggersnoyesyes
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 EditionnoneMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locksyes
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.yesyesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardno

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Apache PhoenixMicrosoft SQL ServerSQLiteTypesense
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