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DBMS > Machbase Neo vs. Microsoft SQL Server vs. Sphinx vs. XTDB

System Properties Comparison Machbase Neo vs. Microsoft SQL Server vs. Sphinx vs. XTDB

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Editorial information provided by DB-Engines
NameMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSphinx  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionTimeSeries DBMS for AIoT and BigDataMicrosofts flagship relational DBMSOpen source search engine for searching in data from different sources, e.g. relational databasesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelTime Series DBMSRelational DBMSSearch engineDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#307  Overall
#26  Time Series DBMS
Score845.81
Rank#3  Overall
#3  Relational DBMS
Score6.06
Rank#61  Overall
#6  Search engines
Score0.16
Rank#336  Overall
#48  Document stores
Websitemachbase.comwww.microsoft.com/­en-us/­sql-serversphinxsearch.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationmachbase.com/­dbmslearn.microsoft.com/­en-US/­sql/­sql-serversphinxsearch.com/­docswww.xtdb.com/­docs
DeveloperMachbaseMicrosoftSphinx Technologies Inc.Juxt Ltd.
Initial release2013198920012019
Current releaseV8.0, August 2023SQL Server 2022, November 20223.5.1, February 20231.19, September 2021
License infoCommercial or Open Sourcecommercial infofree test version availablecommercial inforestricted free version is availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C++Clojure
Server operating systemsLinux
macOS
Windows
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyes, extensible-data-notation format
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 indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like query language (SphinxQL)limited SQL, making use of Apache Calcite
APIs and other access methodsgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Proprietary protocolHTTP REST
JDBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Clojure
Java
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, but depending on the SQL-Server Editionnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesyes infoThe original contents of fields are not stored in the Sphinx index.yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infovolatile and lookup tableyes
User concepts infoAccess controlsimple password-based access controlfine grained access rights according to SQL-standardno

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More resources
Machbase Neo infoFormer name was InfinifluxMicrosoft SQL ServerSphinxXTDB infoformerly named Crux
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