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DBMS > Amazon SimpleDB vs. Atos Standard Common Repository vs. Google Cloud Bigtable vs. Microsoft Access vs. Milvus

System Properties Comparison Amazon SimpleDB vs. Atos Standard Common Repository vs. Google Cloud Bigtable vs. Microsoft Access vs. Milvus

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMilvus  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Microsoft 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 searches
Primary database modelKey-value storeDocument store
Key-value store
Key-value store
Wide column store
Relational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#139  Overall
#24  Key-value stores
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score1.81
Rank#144  Overall
#5  Vector DBMS
Websiteaws.amazon.com/­simpledbatos.net/en/convergence-creators/portfolio/standard-common-repositorycloud.google.com/­bigtablewww.microsoft.com/­en-us/­microsoft-365/­accessmilvus.io
Technical documentationdocs.aws.amazon.com/­simpledbcloud.google.com/­bigtable/­docsdeveloper.microsoft.com/­en-us/­accessmilvus.io/­docs/­overview.md
DeveloperAmazonAtos Convergence CreatorsGoogleMicrosoft
Initial release20072016201519922019
Current release17031902 (16.0.11328.20222), March 20192.3.4, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
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 languageJavaC++C++, Go
Server operating systemshostedLinuxhostedWindows infoNot a real database server, but making use of DLLsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeSchema and schema-less with LDAP viewsschema-freeyes
Typing infopredefined data types such as float or datenooptionalnoyesVector, 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.yesnono
Secondary indexesyes infoAll columns are indexed automaticallyyesnoyesno
SQL infoSupport of SQLnononoyes infobut not compliant to any SQL standardno
APIs and other access methodsRESTful HTTP APILDAPgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages with LDAP bindingsC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononoyes infosince Access 2010 using the ACE-engineno
Triggersnoyesnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infocell divisionShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesInternal replication in Colossus, and regional replication between two clusters in different zonesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual Consistency depending on configurationImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationAtomic execution of specific operationsAtomic single-row operationsACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)LDAP bind authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no infoa simple user-level security was built in till version Access 2003Role based access control and fine grained access rights
More information provided by the system vendor
Amazon SimpleDBAtos Standard Common RepositoryGoogle Cloud BigtableMicrosoft AccessMilvus
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
Amazon SimpleDBAtos Standard Common RepositoryGoogle Cloud BigtableMicrosoft AccessMilvus
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