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DBMS > Hyprcubd vs. LeanXcale vs. PouchDB vs. Sphinx vs. STSdb

System Properties Comparison Hyprcubd vs. LeanXcale vs. PouchDB vs. Sphinx vs. STSdb

Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonLeanXcale  Xexclude from comparisonPouchDB  Xexclude from comparisonSphinx  Xexclude from comparisonSTSdb  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesJavaScript DBMS with an API inspired by CouchDBOpen source search engine for searching in data from different sources, e.g. relational databasesKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Document storeSearch engineKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitehyprcubd.com (offline)www.leanxcale.compouchdb.comsphinxsearch.comgithub.com/­STSSoft/­STSdb4
Technical documentationpouchdb.com/­guidessphinxsearch.com/­docs
DeveloperHyprcubd, Inc.LeanXcaleApache Software FoundationSphinx Technologies Inc.STS Soft SC
Initial release2015201220012011
Current release7.1.1, June 20193.5.1, February 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaScriptC++C#
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringnonoyes infoprimitive types and user defined types (classes)
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 indexesnoyes infovia viewsyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like query languageyes infothrough Apache DerbynoSQL-like query language (SphinxQL)no
APIs and other access methodsgRPC (https)JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP REST infoonly for PouchDB Server
JavaScript API
Proprietary protocol.NET Client API
Supported programming languagesC
Java
Scala
JavaScriptC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
Server-side scripts infoStored proceduresnoView functions in JavaScriptnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infowith a proxy-based framework, named couchdb-loungeSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controltoken accessnonono

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More resources
HyprcubdLeanXcalePouchDBSphinxSTSdb
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