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DBMS > etcd vs. Microsoft Azure Table Storage vs. Qdrant vs. Realm vs. Yanza

System Properties Comparison etcd vs. Microsoft Azure Table Storage vs. Qdrant vs. Realm vs. Yanza

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonQdrant  Xexclude from comparisonRealm  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed reliable key-value storeA Wide Column Store for rapid development using massive semi-structured datasetsA high-performance vector database with neural network or semantic-based matchingA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataTime Series DBMS for IoT Applications
Primary database modelKey-value storeWide column storeVector DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websiteetcd.io
github.com/­etcd-io/­etcd
azure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­qdrant/­qdrant
qdrant.tech
realm.ioyanza.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
qdrant.tech/­documentationrealm.io/­docs
DeveloperMicrosoftQdrantRealm, acquired by MongoDB in May 2019Yanza
Initial release2012202120142015
Current release3.4, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Sourcecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoRust
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedDocker
Linux
macOS
Windows
Android
Backend: server-less
iOS
Windows
Windows
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesNumbers, Strings, Geo, Booleanyesno
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 indexesnonoyes infoKeywords, numberic ranges, geo, full-textyesno
SQL infoSupport of SQLnonononono
APIs and other access methodsgRPC
JSON over HTTP
RESTful HTTP APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Java infowith Android only
Objective-C
React Native
Swift
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonono inforuns within the applications so server-side scripts are unnecessaryno
Triggersyes, watching key changesnoyes infoChange Listenersyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Collection-level replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyesyes infoIn-Memory realm
User concepts infoAccess controlnoAccess rights based on private key authentication or shared access signaturesKey-based authenticationyesno

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More resources
etcdMicrosoft Azure Table StorageQdrantRealmYanza
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