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DBMS > Databend vs. Microsoft Access vs. Milvus vs. openGauss

System Properties Comparison Databend vs. Microsoft Access vs. Milvus vs. openGauss

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMilvus  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A DBMS designed for efficient storage of vector data and vector similarity searchesAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelRelational DBMSRelational DBMSVector DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.microsoft.com/­en-us/­microsoft-365/­accessmilvus.iogitee.com/­opengauss
opengauss.org
Technical documentationdocs.databend.comdeveloper.microsoft.com/­en-us/­accessmilvus.io/­docs/­overview.mddocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperDatabend LabsMicrosoftHuawei and openGauss community
Initial release2021199220192019
Current release1.0.59, April 20231902 (16.0.11328.20222), March 20192.4.4, May 20243.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoBundled with Microsoft OfficeOpen 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 languageRustC++C++, GoC, C++, Java
Server operating systemshosted
Linux
macOS
Windows infoNot a real database server, but making use of DLLsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and 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.nonono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLyesyes infobut not compliant to any SQL standardnoANSI SQL 2011
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIJDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-enginenoyes
Triggersnoyes infosince Access 2010 using the ACE-enginenoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardinghorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication
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
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesno infoa simple user-level security was built in till version Access 2003Role 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
DatabendMicrosoft AccessMilvusopenGauss
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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DatabendMicrosoft AccessMilvusopenGauss
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