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DBMS > Machbase Neo vs. Microsoft Azure SQL Database vs. Milvus vs. Sphinx

System Properties Comparison Machbase Neo vs. Microsoft Azure SQL Database vs. Milvus vs. Sphinx

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Editorial information provided by DB-Engines
NameMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonMilvus  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionTimeSeries DBMS for AIoT and BigDataDatabase as a Service offering with high compatibility to Microsoft SQL ServerA DBMS designed for efficient storage of vector data and vector similarity searchesOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelTime Series DBMSRelational DBMSVector DBMSSearch engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitemachbase.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasemilvus.iosphinxsearch.com
Technical documentationmachbase.com/­dbmsdocs.microsoft.com/­en-us/­azure/­azure-sqlmilvus.io/­docs/­overview.mdsphinxsearch.com/­docs
DeveloperMachbaseMicrosoftSphinx Technologies Inc.
Initial release2013201020192001
Current releaseV8.0, August 2023V122.3.4, January 20243.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree test version availablecommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageCC++C++, GoC++
Server operating systemsLinux
macOS
Windows
hostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringno
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 indexesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languageyesnoSQL-like query language (SphinxQL)
APIs and other access methodsgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP APIProprietary protocol
Supported programming languagesC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoTransact SQLnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, with always 3 replicas availablenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
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-standardRole based access control and fine grained access rightsno
More information provided by the system vendor
Machbase Neo infoFormer name was InfinifluxMicrosoft Azure SQL Database infoformerly SQL AzureMilvusSphinx
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
Machbase Neo infoFormer name was InfinifluxMicrosoft Azure SQL Database infoformerly SQL AzureMilvusSphinx
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