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DBMS > etcd vs. Google Cloud Firestore vs. Microsoft Azure AI Search vs. Trafodion vs. WakandaDB

System Properties Comparison etcd vs. Google Cloud Firestore vs. Microsoft Azure AI Search vs. Trafodion vs. WakandaDB

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTrafodion  Xexclude from comparisonWakandaDB  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed reliable key-value storeCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Search-as-a-service for web and mobile app developmentTransactional SQL-on-Hadoop DBMSWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value storeDocument storeSearch engineRelational DBMSObject oriented DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Score5.52
Rank#59  Overall
#6  Search engines
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­firestoreazure.microsoft.com/­en-us/­services/­searchtrafodion.apache.orgwakanda.github.io
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­firestorelearn.microsoft.com/­en-us/­azure/­searchtrafodion.apache.org/­documentation.htmlwakanda.github.io/­doc
DeveloperGoogleMicrosoftApache Software Foundation, originally developed by HPWakanda SAS
Initial release2017201520142012
Current release3.4, August 2019V12.3.0, February 20192.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaC++, JavaScript
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedhostedLinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonononono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnononoyesno
APIs and other access methodsgRPC
JSON over HTTP
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
Java
JavaScript
Python
All languages supporting JDBC/ODBC/ADO.NetJavaScript
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud FunctionsnoJava Stored Proceduresyes
Triggersyes, watching key changesyes, with Cloud Functionsnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replicationyes infoImplicit feature of the cloud serviceyes, via HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yes infousing Azure authenticationfine grained access rights according to SQL-standardyes

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More resources
etcdGoogle Cloud FirestoreMicrosoft Azure AI SearchTrafodionWakandaDB
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