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DBMS > Hyprcubd vs. openGemini vs. Sphinx vs. STSdb

System Properties Comparison Hyprcubd vs. openGemini vs. Sphinx vs. STSdb

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonopenGemini  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 DBMSAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityOpen 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 DBMSTime Series DBMSSearch engineKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score0.03
Rank#365  Overall
#54  Key-value stores
Websitehyprcubd.com (offline)www.opengemini.org
github.com/­openGemini
sphinxsearch.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.opengemini.org/­guidesphinxsearch.com/­docs
DeveloperHyprcubd, Inc.Huawei and openGemini communitySphinx Technologies Inc.STS Soft SC
Initial release202220012011
Current release1.1, July 20233.5.1, February 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2, commercial licence availableOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGoC++C#
Server operating systemshostedLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringInteger, Float, Boolean, Stringnoyes 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 indexesnoyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like query languageSQL-like query languageSQL-like query language (SphinxQL)no
APIs and other access methodsgRPC (https)HTTP RESTProprietary protocol.NET Client API
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.noyes
User concepts infoAccess controltoken accessAdministrators and common users accountsnono

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More resources
HyprcubdopenGeminiSphinxSTSdb
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