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DBMS > Datastax Enterprise vs. etcd vs. PouchDB vs. SwayDB

System Properties Comparison Datastax Enterprise vs. etcd vs. PouchDB vs. SwayDB

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonetcd  Xexclude from comparisonPouchDB  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A distributed reliable key-value storeJavaScript DBMS with an API inspired by CouchDBAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelWide column storeKey-value storeDocument storeKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.31
Rank#57  Overall
#4  Wide column stores
Score7.64
Rank#54  Overall
#5  Key-value stores
Score2.35
Rank#116  Overall
#22  Document stores
Score0.04
Rank#373  Overall
#57  Key-value stores
Websitewww.datastax.com/­products/­datastax-enterpriseetcd.io
github.com/­etcd-io/­etcd
pouchdb.comswaydb.simer.au
Technical documentationdocs.datastax.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
pouchdb.com/­guides
DeveloperDataStaxApache Software FoundationSimer Plaha
Initial release201120122018
Current release6.8, April 20203.4, August 20197.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open SourceOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaGoJavaScriptScala
Server operating systemsLinux
OS X
FreeBSD
Linux
Windows infoexperimental
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnonono
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.nononono
Secondary indexesyesnoyes infovia viewsno
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnonono
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
gRPC
JSON over HTTP
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
JavaScriptJava
Kotlin
Scala
Server-side scripts infoStored proceduresnonoView functions in JavaScriptno
Triggersyesyes, watching key changesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnonoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users can be defined per objectnonono
More information provided by the system vendor
Datastax EnterpriseetcdPouchDBSwayDB
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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Datastax EnterpriseetcdPouchDBSwayDB
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