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DBMS > Amazon SimpleDB vs. BigchainDB vs. Elasticsearch vs. Microsoft Access vs. Quasardb

System Properties Comparison Amazon SimpleDB vs. BigchainDB vs. Elasticsearch vs. Microsoft Access vs. Quasardb

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricMicrosoft 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.)Distributed, high-performance timeseries database
Primary database modelKey-value storeDocument storeSearch engineRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.79
Rank#212  Overall
#36  Document stores
Score135.35
Rank#7  Overall
#1  Search engines
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteaws.amazon.com/­simpledbwww.bigchaindb.comwww.elastic.co/­elasticsearchwww.microsoft.com/­en-us/­microsoft-365/­accessquasar.ai
Technical documentationdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldeveloper.microsoft.com/­en-us/­accessdoc.quasar.ai/­master
DeveloperAmazonElasticMicrosoftquasardb
Initial release20072016201019922009
Current release8.6, January 20231902 (16.0.11328.20222), March 20193.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoElastic Licensecommercial infoBundled with Microsoft Officecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJavaC++C++
Server operating systemshostedLinuxAll OS with a Java VMWindows infoNot a real database server, but making use of DLLsBSD
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free
Typing infopredefined data types such as float or datenonoyesyesyes infointeger and binary
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 indexesyes infoAll columns are indexed automaticallyyes infoAll search fields are automatically indexedyesyes infowith tags
SQL infoSupport of SQLnonoSQL-like query languageyes infobut not compliant to any SQL standardSQL-like query language
APIs and other access methodsRESTful HTTP APICLI Client
RESTful HTTP API
Java API
RESTful HTTP/JSON API
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyesyes infosince Access 2010 using the ACE-engineno
Triggersnoyes infoby using the 'percolation' featureyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingnoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryesnoneSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectornowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate 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 applicationnoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes infobut no files for transaction loggingyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes infoTransient mode
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesno infoa simple user-level security was built in till version Access 2003Cryptographically strong user authentication and audit trail

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More resources
Amazon SimpleDBBigchainDBElasticsearchMicrosoft AccessQuasardb
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