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DBMS > PouchDB vs. Qdrant vs. SwayDB vs. XTDB vs. YTsaurus

System Properties Comparison PouchDB vs. Qdrant vs. SwayDB vs. XTDB vs. YTsaurus

Editorial information provided by DB-Engines
NamePouchDB  Xexclude from comparisonQdrant  Xexclude from comparisonSwayDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionJavaScript DBMS with an API inspired by CouchDBA high-performance vector database with neural network or semantic-based matchingAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA general purpose database with bitemporal SQL and Datalog and graph queriesYTsaurus is an open source platform for distributed storage and processing.
Primary database modelDocument storeVector DBMSKey-value storeDocument storeDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#115  Overall
#21  Document stores
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Score0.11
Rank#343  Overall
#46  Document stores
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websitepouchdb.comgithub.com/­qdrant/­qdrant
qdrant.tech
swaydb.simer.augithub.com/­xtdb/­xtdb
www.xtdb.com
ytsaurus.tech
Technical documentationpouchdb.com/­guidesqdrant.tech/­documentationwww.xtdb.com/­docsytsaurus.tech/­docs/­en
DeveloperApache Software FoundationQdrantSimer PlahaJuxt Ltd.Yandex
Initial release20122021201820192023
Current release7.1.1, June 20191.19, September 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2.0Open Source infoGNU Affero GPL V3.0Open Source infoMIT LicenseOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptRustScalaClojureC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Docker
Linux
macOS
Windows
All OS with a Java 8 (and higher) VM
Linux
Ubuntu
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoNumbers, Strings, Geo, Booleannoyes, extensible-data-notation formatyes
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 indexesyes infovia viewsyes infoKeywords, numberic ranges, geo, full-textnoyes
SQL infoSupport of SQLnononolimited SQL, making use of Apache CalciteYQL, an SQL-based language, is supported
APIs and other access methodsHTTP REST infoonly for PouchDB Server
JavaScript API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP REST
JDBC
Supported programming languagesJavaScript.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Java
Kotlin
Scala
Clojure
Java
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresView functions in JavaScriptnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infowith a proxy-based framework, named couchdb-loungeShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Collection-level replicationnoneyes, each node contains all datayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoKey-based authenticationnoAccess Control Lists

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More resources
PouchDBQdrantSwayDBXTDB infoformerly named CruxYTsaurus
DB-Engines blog posts

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