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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. LokiJS vs. Memcached vs. Microsoft Azure Table Storage vs. Oracle Berkeley DB

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. LokiJS vs. Memcached vs. Microsoft Azure Table Storage vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonLokiJS  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOracle Berkeley DB  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.In-memory JavaScript DBMSIn-memory key-value store, originally intended for cachingA Wide Column Store for rapid development using massive semi-structured datasetsWidely used in-process key-value store
Primary database modelRelational DBMSDocument storeKey-value storeWide column storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#207  Overall
#96  Relational DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqlgithub.com/­techfort/­LokiJSwww.memcached.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmtechfort.github.io/­LokiJSgithub.com/­memcached/­memcached/­wikidocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAlibabaDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2014200320121994
Current release1.6.25, March 202418.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoBSD licensecommercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptCC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
OS X
Unix
Windows
hostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnonoyesno
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.yesnonoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyes infovia viewsnonoyes
SQL infoSupport of SQLyesnononoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsJDBC
ODBC
JavaScript APIProprietary protocolRESTful HTTP API
Supported programming languagesC#
Java
PHP
Python
JavaScript.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresyesView functions in JavaScriptnonono
Triggersyesyesnonoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonenoneSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenonenone infoRepcached, a Memcached patch, provides this functionallityyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single collection possiblenooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.noyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights based on private key authentication or shared access signaturesno
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLLokiJSMemcachedMicrosoft Azure Table StorageOracle Berkeley DB
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more
Licensing and pricing modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more

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More resources
Alibaba Cloud AnalyticDB for MySQLLokiJSMemcachedMicrosoft Azure Table StorageOracle Berkeley DB
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