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DBMS > Alibaba Cloud Table Store vs. GigaSpaces vs. Lovefield vs. Microsoft Azure Table Storage vs. OrigoDB

System Properties Comparison Alibaba Cloud Table Store vs. GigaSpaces vs. Lovefield vs. Microsoft Azure Table Storage vs. OrigoDB

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonGigaSpaces  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsEmbeddable relational database for web apps written in pure JavaScriptA Wide Column Store for rapid development using massive semi-structured datasetsA fully ACID in-memory object graph database
Primary database modelWide column storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSWide column storeDocument store
Object oriented DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitewww.alibabacloud.com/­product/­table-storewww.gigaspaces.comgoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­storage/­tablesorigodb.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.gigaspaces.com/­latest/­landing.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdorigodb.com/­docs
DeveloperAlibabaGigaspaces TechnologiesGoogleMicrosoftRobert Friberg et al
Initial release20162000201420122009 infounder the name LiveDB
Current release15.5, September 20202.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0commercialOpen Source
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 languageJava, C++, .NetJavaScriptC#
Server operating systemshostedLinux
macOS
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedLinux
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesUser defined using .NET types and collections
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.nono infoXML can be used for describing objects metadatanonono infocan be achieved using .NET
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsSQL-like query language infovia JavaScript builder patternnono
APIs and other access methodsHTTP APIGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP API.NET Client API
HTTP API
LINQ
Supported programming languagesJava
Python
.Net
C++
Java
Python
Scala
JavaScript.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Server-side scripts infoStored proceduresnoyesnonoyes
Triggersnoyes, event driven architectureUsing read-only observersnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
noneyes 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 methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynonoyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDBnoyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensRole-based access controlnoAccess rights based on private key authentication or shared access signaturesRole based authorization

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More resources
Alibaba Cloud Table StoreGigaSpacesLovefieldMicrosoft Azure Table StorageOrigoDB
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