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DBMS > Alibaba Cloud PolarDB vs. Lovefield vs. Microsoft Azure Cosmos DB vs. ObjectBox vs. Sphinx

System Properties Comparison Alibaba Cloud PolarDB vs. Lovefield vs. Microsoft Azure Cosmos DB vs. ObjectBox vs. Sphinx

Editorial information provided by DB-Engines
NameAlibaba Cloud PolarDB  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonObjectBox  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.Embeddable relational database for web apps written in pure JavaScriptGlobally distributed, horizontally scalable, multi-model database serviceExtremely fast embedded database for small devices, IoT and MobileOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Object oriented DBMSSearch engine
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#235  Overall
#108  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.alibabacloud.com/­product/­polardbgoogle.github.io/­lovefieldazure.microsoft.com/­services/­cosmos-dbobjectbox.iosphinxsearch.com
Technical documentationwww.alibabacloud.com/­help/­en/­polardb/­product-overviewgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdlearn.microsoft.com/­azure/­cosmos-dbdocs.objectbox.iosphinxsearch.com/­docs
DeveloperAlibabaGoogleMicrosoftObjectBox LimitedSphinx Technologies Inc.
Initial release2014201420172001
Current release2.1.12, February 20173.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache License 2.0Open Source infoGPL version 2, commercial licence available
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.
Implementation languageJavaScriptC and C++C++
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedAndroid
iOS
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infoJSON typesyesno
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 indexesyesyesyes infoAll properties auto-indexed by defaultyesyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternSQL-like query languagenoSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Proprietary native APIProprietary protocol
Supported programming languagesJava
Python
JavaScript.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnoJavaScriptnono
TriggersyesUsing read-only observersJavaScriptnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneSharding infoImplicit feature of the cloud servicenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneyes infoImplicit feature of the cloud serviceonline/offline synchronization between client and servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDMulti-item ACID transactions with snapshot isolation within a partitionACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDBno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights can be defined down to the item levelyesno
More information provided by the system vendor
Alibaba Cloud PolarDBLovefieldMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBObjectBoxSphinx
Specific characteristicsPolarDB, previously ApsaraDB for PolarDB, is a cloud-native relational database designed...
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