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DBMS > Hypertable vs. NSDb vs. PouchDB vs. Riak KV

System Properties Comparison Hypertable vs. NSDb vs. PouchDB vs. Riak KV

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonNSDb  Xexclude from comparisonPouchDB  Xexclude from comparisonRiak KV  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, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesJavaScript DBMS with an API inspired by CouchDBDistributed, fault tolerant key-value store
Primary database modelWide column storeTime Series DBMSDocument storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitensdb.iopouchdb.com
Technical documentationnsdb.io/­Architecturepouchdb.com/­guideswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperHypertable Inc.Apache Software FoundationOpenSource, formerly Basho Technologies
Initial release2009201720122009
Current release0.9.8.11, March 20167.1.1, June 20193.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache Version 2.0Open SourceOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ScalaJavaScriptErlang
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyes: int, bigint, decimal, stringnono
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.nonono
Secondary indexesrestricted infoonly exact value or prefix value scansall fields are automatically indexedyes infovia viewsrestricted
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsC++ API
Thrift
gRPC
HTTP REST
WebSocket
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP API
Native Erlang Interface
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
Java
Scala
JavaScriptC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnonoView functions in JavaScriptErlang
Triggersnoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes 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.yes
User concepts infoAccess controlnonoyes, using Riak Security

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More resources
HypertableNSDbPouchDBRiak KV
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