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

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

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceEmbeddable relational database for web apps written in pure JavaScriptSearch-as-a-service for web and mobile app developmentBased 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 modelDocument storeRelational DBMSSearch engineRelational DBMSKey-value store
Secondary database modelsVector DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websiteaws.amazon.com/­documentdbgoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­searchwww.postgres-xl.orggithub.com/­bytedance/­terarkdb
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdlearn.microsoft.com/­en-us/­azure/­searchwww.postgres-xl.org/­documentationbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGoogleMicrosoftByteDance, originally Terark
Initial release2019201420152014 infosince 2012, originally named StormDB2016
Current release2.1.12, February 2017V110 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoMozilla public licensecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptCC++
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedLinux
macOS
Data schemeschema-freeyesyesyesschema-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 SQLnoSQL-like query language infovia JavaScript builder patternnoyes infodistributed, parallel query executionno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
JavaScriptC#
Java
JavaScript
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Server-side scripts infoStored proceduresnononouser defined functionsno
TriggersnoUsing read-only observersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud servicehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBnonoyes
User concepts infoAccess controlAccess rights for users and rolesnoyes infousing Azure authenticationfine grained access rights according to SQL-standardno

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More resources
Amazon DocumentDBLovefieldMicrosoft Azure AI SearchPostgres-XLTerarkDB
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