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DBMS > AlaSQL vs. Machbase Neo vs. Milvus vs. Solr vs. Yanza

System Properties Comparison AlaSQL vs. Machbase Neo vs. Milvus vs. Solr vs. Yanza

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMilvus  Xexclude from comparisonSolr  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionJavaScript DBMS libraryTimeSeries DBMS for AIoT and BigDataA DBMS designed for efficient storage of vector data and vector similarity searchesA widely used distributed, scalable search engine based on Apache LuceneTime Series DBMS for IoT Applications
Primary database modelDocument store
Relational DBMS
Time Series DBMSVector DBMSSearch engineTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitealasql.orgmachbase.commilvus.iosolr.apache.orgyanza.com
Technical documentationgithub.com/­AlaSQL/­alasqlmachbase.com/­dbmsmilvus.io/­docs/­overview.mdsolr.apache.org/­resources.html
DeveloperAndrey Gershun & Mathias R. WulffMachbaseApache Software FoundationYanza
Initial release20142013201920062015
Current releaseV8.0, August 20232.4.4, May 20249.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infofree test version availableOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
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 languageJavaScriptCC++, GoJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Windows
Data schemeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or datenoyesVector, Numeric and Stringyes infosupports customizable data types and automatic typingno
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.nononoyesno
Secondary indexesnoyesnoyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL-like query languagenoSolr Parallel SQL Interfaceno
APIs and other access methodsJavaScript APIgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP APIJava API
RESTful HTTP/JSON API
HTTP API
Supported programming languagesJavaScriptC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresnononoJava pluginsno
Triggersyesnonoyes infoUser configurable commands triggered on index changesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenonooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStoragenoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovolatile and lookup tableyesyes
User concepts infoAccess controlnosimple password-based access controlRole based access control and fine grained access rightsyesno
More information provided by the system vendor
AlaSQLMachbase Neo infoFormer name was InfinifluxMilvusSolrYanza
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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AlaSQLMachbase Neo infoFormer name was InfinifluxMilvusSolrYanza
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