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DBMS > BigchainDB vs. PouchDB vs. Sphinx vs. SQL.JS vs. Warp 10

System Properties Comparison BigchainDB vs. PouchDB vs. Sphinx vs. SQL.JS vs. Warp 10

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSphinx  Xexclude from comparisonSQL.JS  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsJavaScript DBMS with an API inspired by CouchDBOpen source search engine for searching in data from different sources, e.g. relational databasesPort of SQLite to JavaScriptTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeDocument storeSearch engineRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score2.28
Rank#115  Overall
#21  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.53
Rank#252  Overall
#116  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.bigchaindb.compouchdb.comsphinxsearch.comsql.js.orgwww.warp10.io
Technical documentationbigchaindb.readthedocs.io/­en/­latestpouchdb.com/­guidessphinxsearch.com/­docssql.js.org/­documentation/­index.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperApache Software FoundationSphinx Technologies Inc.Alon Zakai infoenhancements implemented by othersSenX
Initial release20162012200120122015
Current release7.1.1, June 20193.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3Open SourceOpen Source infoGPL version 2, commercial licence availableOpen SourceOpen Source infoApache License 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 languagePythonJavaScriptC++JavaScriptJava
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenononoyesyes
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 indexesyes infovia viewsyes infofull-text index on all search fieldsno
SQL infoSupport of SQLnonoSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supportedno
APIs and other access methodsCLI Client
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Proprietary protocolJavaScript APIHTTP API
Jupyter
WebSocket
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
JavaScriptC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Server-side scripts infoStored proceduresView functions in JavaScriptnonoyes infoWarpScript
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding infoPartitioning is done manually, search queries against distributed index is supportednoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
nonenoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoThe original contents of fields are not stored in the Sphinx index.no infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesnononoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
BigchainDBPouchDBSphinxSQL.JSWarp 10
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