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DBMS > Hyprcubd vs. Microsoft Azure Cosmos DB vs. openGemini vs. SQLite

System Properties Comparison Hyprcubd vs. Microsoft Azure Cosmos DB vs. openGemini vs. SQLite

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonopenGemini  Xexclude from comparisonSQLite  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSGlobally distributed, horizontally scalable, multi-model database serviceAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityWidely used embeddable, in-process RDBMS
Primary database modelTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score24.97
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score103.35
Rank#10  Overall
#7  Relational DBMS
Websitehyprcubd.com (offline)azure.microsoft.com/­services/­cosmos-dbwww.opengemini.org
github.com/­openGemini
www.sqlite.org
Technical documentationlearn.microsoft.com/­azure/­cosmos-dbdocs.opengemini.org/­guidewww.sqlite.org/­docs.html
DeveloperHyprcubd, Inc.MicrosoftHuawei and openGemini communityDwayne Richard Hipp
Initial release201420222000
Current release1.1, July 20233.46.1  (13 August 2024), August 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGoC
Server operating systemshostedhostedLinux
Windows
server-less
Data schemeyesschema-freeschema-freeyes infodynamic column types
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyes infoJSON typesInteger, Float, Boolean, Stringyes infonot rigid because of 'dynamic typing' concept.
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 indexesnoyes infoAll properties auto-indexed by defaultyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageSQL-like query languageyes infoSQL-92 is not fully supported
APIs and other access methodsgRPC (https)DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
HTTP RESTADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnoJavaScriptnono
TriggersnoJavaScriptnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionnoACID
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controltoken accessAccess rights can be defined down to the item levelAdministrators and common users accountsno

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More resources
HyprcubdMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBopenGeminiSQLite
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