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DBMS > Kyligence Enterprise vs. Microsoft Azure SQL Database vs. OrigoDB vs. Prometheus vs. Qdrant

System Properties Comparison Kyligence Enterprise vs. Microsoft Azure SQL Database vs. OrigoDB vs. Prometheus vs. Qdrant

Editorial information provided by DB-Engines
NameKyligence Enterprise  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOrigoDB  Xexclude from comparisonPrometheus  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionA distributed analytics engine for big data, built on top of Apache KylinDatabase as a Service offering with high compatibility to Microsoft SQL ServerA fully ACID in-memory object graph databaseOpen-source Time Series DBMS and monitoring systemA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Time Series DBMSVector DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitekyligence.io/­kyligence-enterpriseazure.microsoft.com/­en-us/­products/­azure-sql/­databaseorigodb.comprometheus.iogithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlorigodb.com/­docsprometheus.io/­docsqdrant.tech/­documentation
DeveloperKyligence, Inc.MicrosoftRobert Friberg et alQdrant
Initial release201620102009 infounder the name LiveDB20152021
Current releaseV12
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C#GoRust
Server operating systemsLinuxhostedLinux
Windows
Linux
Windows
Docker
Linux
macOS
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsNumeric data onlyNumbers, Strings, Geo, Boolean
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.noyesno infocan be achieved using .NETno infoImport of XML data possibleno
Secondary indexesyesyesyesnoyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
.NET Client API
HTTP API
LINQ
RESTful HTTP/JSON APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresTransact SQLyesno
Triggersyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availableSource-replica replicationyes infoby FederationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based authorizationnoKey-based authentication

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More resources
Kyligence EnterpriseMicrosoft Azure SQL Database infoformerly SQL AzureOrigoDBPrometheusQdrant
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