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DBMS > Lovefield vs. Microsoft Azure AI Search vs. Oracle Berkeley DB vs. Postgres-XL vs. TerarkDB

System Properties Comparison Lovefield vs. Microsoft Azure AI Search vs. Oracle Berkeley DB vs. Postgres-XL vs. TerarkDB

Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOracle Berkeley DB  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 developmentWidely used in-process key-value storeBased 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 engineKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMSKey-value store
Secondary database modelsVector DBMSDocument 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
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML 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/­searchwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.postgres-xl.orggithub.com/­bytedance/­terarkdb
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdlearn.microsoft.com/­en-us/­azure/­searchdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.postgres-xl.org/­documentationbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGoogleMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleByteDance, originally Terark
Initial release2014201519942014 infosince 2012, originally named StormDB2016
Current release2.1.12, February 2017V118.1.40, May 202010 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infocommercial license availableOpen 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, Java, C++ (depending on the Berkeley DB edition)CC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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.nonoyes infoonly with the Berkeley DB XML editionyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternnoyes infoSQL interfaced based on SQLite is availableyes infodistributed, parallel query executionno
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
Supported programming languagesJavaScriptC#
Java
JavaScript
Python
.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
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Server-side scripts infoStored proceduresnononouser defined functionsno
TriggersUsing read-only observersnoyes infoonly for the SQL APIyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicenonehorizontal 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 Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 MemoryDBnoyesnoyes
User concepts infoAccess controlnoyes infousing Azure authenticationnofine grained access rights according to SQL-standardno

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More resources
LovefieldMicrosoft Azure AI SearchOracle Berkeley DBPostgres-XLTerarkDB
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