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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. Bangdb vs. HyperSQL vs. Milvus

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. Bangdb vs. HyperSQL vs. Milvus

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Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonBangdb  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.Converged and high performance database for device data, events, time series, document and graphMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Relational DBMSVector DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#207  Overall
#96  Relational DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqlbangdb.comhsqldb.orgmilvus.io
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmdocs.bangdb.comhsqldb.org/­web/­hsqlDocsFrame.htmlmilvus.io/­docs/­overview.md
DeveloperAlibabaSachin Sinha, BangDB
Initial release201220012019
Current releaseBangDB 2.0, October 20212.7.2, June 20232.3.4, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infobased on BSD licenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC, C++JavaC++, Go
Server operating systemshostedLinuxAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesVector, 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.yesnonono
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesno
SQL infoSupport of SQLyesSQL like support with command line toolyesno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Java
PHP
Python
C
C#
C++
Java
Python
All languages supporting JDBC/ODBC
Java
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnoJava, SQLno
Triggersyesyes, Notifications (with Streaming only)yesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factor, Knob for CAP (enterprise version only)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modeyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes (enterprise version only)fine grained access rights according to SQL-standardRole based access control and fine grained access rights
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLBangdbHyperSQL infoalso known as HSQLDBMilvus
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
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Highly 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 modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
Alibaba Cloud AnalyticDB for MySQLBangdbHyperSQL infoalso known as HSQLDBMilvus
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