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DBMS > AlaSQL vs. Microsoft SQL Server vs. PostgreSQL vs. Sphinx vs. Warp 10

System Properties Comparison AlaSQL vs. Microsoft SQL Server vs. PostgreSQL vs. Sphinx vs. Warp 10

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSphinx  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionJavaScript DBMS libraryMicrosofts flagship relational DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpen source search engine for searching in data from different sources, e.g. relational databasesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Search engineTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitealasql.orgwww.microsoft.com/­en-us/­sql-serverwww.postgresql.orgsphinxsearch.comwww.warp10.io
Technical documentationgithub.com/­AlaSQL/­alasqllearn.microsoft.com/­en-US/­sql/­sql-serverwww.postgresql.org/­docssphinxsearch.com/­docswww.warp10.io/­content/­02_Getting_started
DeveloperAndrey Gershun & Mathias R. WulffMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerSphinx Technologies Inc.SenX
Initial release201419891989 info1989: Postgres, 1996: PostgreSQL20012015
Current releaseSQL Server 2022, November 202216.3, May 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial inforestricted free version is availableOpen Source infoBSDOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++CC++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesnoyes
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.noyesyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesyes infostandard with numerous extensionsSQL-like query language (SphinxQL)no
APIs and other access methodsJavaScript APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocolHTTP API
Jupyter
WebSocket
Supported programming languagesJavaScriptC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes infoWarpScript
Triggersyesyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationpartitioning by range, list and (since PostgreSQL 11) by hashSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, but depending on the SQL-Server EditionSource-replica replication infoother methods possible by using 3rd party extensionsnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
AlaSQLMicrosoft SQL ServerPostgreSQLSphinxWarp 10
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