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DBMS > Microsoft Access vs. Milvus vs. Netezza vs. RavenDB

System Properties Comparison Microsoft Access vs. Milvus vs. Netezza vs. RavenDB

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Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonMilvus  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionMicrosoft 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 searchesData warehouse and analytics appliance part of IBM PureSystemsOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSVector DBMSRelational DBMSDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Websitewww.microsoft.com/­en-us/­microsoft-365/­accessmilvus.iowww.ibm.com/­products/­netezzaravendb.net
Technical documentationdeveloper.microsoft.com/­en-us/­accessmilvus.io/­docs/­overview.mdravendb.net/­docs
DeveloperMicrosoftIBMHibernating Rhinos
Initial release1992201920002010
Current release1902 (16.0.11328.20222), March 20192.3.4, January 20245.4, July 2022
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2.0commercialOpen Source infoAGPL version 3, commercial license available
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 languageC++C++, GoC#
Server operating systemsWindows infoNot a real database server, but making use of DLLsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux infoincluded in applianceLinux
macOS
Raspberry Pi
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyesno
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.no
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infobut not compliant to any SQL standardnoyesSQL-like query language (RQL)
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIJDBC
ODBC
OLE DB
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-enginenoyesyes
Triggersyes infosince Access 2010 using the ACE-enginenonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingnoACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003Role based access control and fine grained access rightsUsers with fine-grained authorization conceptAuthorization levels configured per client per database
More information provided by the system vendor
Microsoft AccessMilvusNetezza infoAlso called PureData System for Analytics by IBMRavenDB
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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More resources
Microsoft AccessMilvusNetezza infoAlso called PureData System for Analytics by IBMRavenDB
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