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

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

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionA distributed reliable key-value storeEmbeddable 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 modelKey-value 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
Score7.03
Rank#54  Overall
#5  Key-value 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
Websiteetcd.io
github.com/­etcd-io/­etcd
google.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­searchwww.postgres-xl.orggithub.com/­bytedance/­terarkdb
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
github.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 release201420152014 infosince 2012, originally named StormDB2016
Current release3.4, August 20192.1.12, February 2017V110 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoMozilla public licensecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaScriptCC++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
server-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 datenoyesyesyesno
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 indexesnoyesyesyesno
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternnoyes infodistributed, parallel query executionno
APIs and other access methodsgRPC
JSON over HTTP
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
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
Triggersyes, watching key changesUsing read-only observersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.noneyes infoImplicit feature of the cloud servicenone
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 integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID 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.noyes infousing MemoryDBnonoyes
User concepts infoAccess controlnonoyes infousing Azure authenticationfine grained access rights according to SQL-standardno

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More resources
etcdLovefieldMicrosoft Azure AI SearchPostgres-XLTerarkDB
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