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DBMS > Lovefield vs. Microsoft Azure AI Search vs. openGauss vs. Postgres-XL vs. TerarkDB

System Properties Comparison Lovefield vs. Microsoft Azure AI Search vs. openGauss vs. Postgres-XL vs. TerarkDB

Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonopenGauss  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptSearch-as-a-service for web and mobile app developmentAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSSearch engineRelational DBMSRelational DBMSKey-value store
Secondary database modelsVector DBMSDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitegoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­searchgitee.com/­opengauss
opengauss.org
www.postgres-xl.orggithub.com/­bytedance/­terarkdb
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdlearn.microsoft.com/­en-us/­azure/­searchdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.postgres-xl.org/­documentationbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGoogleMicrosoftHuawei and openGauss communityByteDance, originally Terark
Initial release2014201520192014 infosince 2012, originally named StormDB2016
Current release2.1.12, February 2017V13.0, March 202210 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourceOpen Source infoMozilla public licensecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC, C++, JavaCC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedLinuxLinux
macOS
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononoyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternnoANSI SQL 2011yes infodistributed, parallel query executionno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
Supported programming languagesJavaScriptC#
Java
JavaScript
Python
C
C++
Java
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Server-side scripts infoStored proceduresnonoyesuser defined functionsno
TriggersUsing read-only observersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning (by range, list and hash)horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBnononoyes
User concepts infoAccess controlnoyes infousing Azure authenticationAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
LovefieldMicrosoft Azure AI SearchopenGaussPostgres-XLTerarkDB
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