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DBMS > Microsoft Azure Synapse Analytics vs. MonetDB vs. Qdrant vs. Quasardb

System Properties Comparison Microsoft Azure Synapse Analytics vs. MonetDB vs. Qdrant vs. Quasardb

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Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMonetDB  Xexclude from comparisonQdrant  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA relational database management system that stores data in columnsA high-performance vector database with neural network or semantic-based matchingDistributed, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMSVector DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticswww.monetdb.orggithub.com/­qdrant/­qdrant
qdrant.tech
quasar.ai
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticswww.monetdb.org/­Documentationqdrant.tech/­documentationdoc.quasar.ai/­master
DeveloperMicrosoftMonetDB BVQdrantquasardb
Initial release2016200420212009
Current releaseDec2023 (11.49), December 20233.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageC++CRustC++
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Booleanyes infointeger and binary
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 indexesyesyesyes infoKeywords, numberic ranges, geo, full-textyes infowith tags
SQL infoSupport of SQLyesyes infoSQL 2003 with some extensionsnoSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP API
Supported programming languagesC#
Java
PHP
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresTransact SQLyes, in SQL, C, Rno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding via remote tablesShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoSource-replica replication available in experimental statusCollection-level replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient mode
User concepts infoAccess controlyesfine grained access rights according to SQL-standardKey-based authenticationCryptographically strong user authentication and audit trail

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMonetDBQdrantQuasardb
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