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DBMS > Blueflood vs. HyperSQL vs. Kingbase vs. Milvus

System Properties Comparison Blueflood vs. HyperSQL vs. Kingbase vs. Milvus

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonKingbase  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.A DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelTime Series DBMSRelational DBMSRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websiteblueflood.iohsqldb.orgwww.kingbase.com.cnmilvus.io
Technical documentationgithub.com/­rax-maas/­blueflood/­wikihsqldb.org/­web/­hsqlDocsFrame.htmlmilvus.io/­docs/­overview.md
DeveloperRackspaceBeiJing KINGBASE Information technologies inc.
Initial release2013200119992019
Current release2.7.2, June 2023V8.0, August 20212.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infobased on BSD licensecommercialOpen Source infoApache Version 2.0
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 languageJavaJavaC and JavaC++, Go
Server operating systemsLinux
OS X
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemepredefined schemeyesyes
Typing infopredefined data types such as float or dateyesyesyesVector, Numeric and String
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.nonoyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyesStandard with numerous extensionsno
APIs and other access methodsHTTP RESTHTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC
Java
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoJava, SQLuser defined functionsno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandranonehorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandranoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole based access control and fine grained access rights
More information provided by the system vendor
BluefloodHyperSQL infoalso known as HSQLDBKingbaseMilvus
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...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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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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BluefloodHyperSQL infoalso known as HSQLDBKingbaseMilvus
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