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DBMS > AlaSQL vs. Milvus vs. NSDb vs. openGauss

System Properties Comparison AlaSQL vs. Milvus vs. NSDb vs. openGauss

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonMilvus  Xexclude from comparisonNSDb  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionJavaScript DBMS libraryA DBMS designed for efficient storage of vector data and vector similarity searchesScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelDocument store
Relational DBMS
Vector DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Websitealasql.orgmilvus.ionsdb.iogitee.com/­opengauss
opengauss.org
Technical documentationgithub.com/­AlaSQL/­alasqlmilvus.io/­docs/­overview.mdnsdb.io/­Architecturedocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperAndrey Gershun & Mathias R. WulffHuawei and openGauss community
Initial release2014201920172019
Current release2.4.4, May 20243.0, March 2022
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
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 languageJavaScriptC++, GoJava, ScalaC, C++, Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS
Linux
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoVector, Numeric and Stringyes: int, bigint, decimal, stringyes
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.nononono
Secondary indexesnonoall fields are automatically indexedyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noSQL-like query languageANSI SQL 2011
APIs and other access methodsJavaScript APIRESTful HTTP APIgRPC
HTTP REST
WebSocket
JDBC
ODBC
Supported programming languagesJavaScriptC++
Go
Java
JavaScript (Node.js)
Python
Java
Scala
C
C++
Java
Server-side scripts infoStored proceduresnononoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnoRole based access control and fine grained access rightsAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
AlaSQLMilvusNSDbopenGauss
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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AlaSQLMilvusNSDbopenGauss
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