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DBMS > Hypertable vs. PlanetScale vs. PouchDB vs. XTDB

System Properties Comparison Hypertable vs. PlanetScale vs. PouchDB vs. XTDB

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonPlanetScale  Xexclude from comparisonPouchDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopScalable, distributed, serverless MySQL database platform built on top of VitessJavaScript DBMS with an API inspired by CouchDBA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelWide column storeRelational DBMSDocument storeDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.18
Rank#332  Overall
#46  Document stores
Websiteplanetscale.compouchdb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationplanetscale.com/­docspouchdb.com/­guideswww.xtdb.com/­docs
DeveloperHypertable Inc.PlanetScaleApache Software FoundationJuxt Ltd.
Initial release2009202020122019
Current release0.9.8.11, March 20167.1.1, June 20191.19, September 2021
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen SourceOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoJavaScriptClojure
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Docker
Linux
macOS
server-less, requires a JavaScript environment (browser, Node.js)All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesnoyes, extensible-data-notation format
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.nono
Secondary indexesrestricted infoonly exact value or prefix value scansyesyes infovia viewsyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnolimited SQL, making use of Apache Calcite
APIs and other access methodsC++ API
Thrift
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP REST
JDBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScriptClojure
Java
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxView functions in JavaScriptno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Eventual Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage enginenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at shard levelnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
HypertablePlanetScalePouchDBXTDB infoformerly named Crux
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