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DBMS > Microsoft Azure Synapse Analytics vs. Milvus vs. Qdrant vs. SpaceTime vs. XTDB

System Properties Comparison Microsoft Azure Synapse Analytics vs. Milvus vs. Qdrant vs. SpaceTime vs. XTDB

Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMilvus  Xexclude from comparisonQdrant  Xexclude from comparisonSpaceTime  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS designed for efficient storage of vector data and vector similarity searchesA high-performance vector database with neural network or semantic-based matchingSpaceTime is a spatio-temporal DBMS with a focus on performance.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSVector DBMSVector DBMSSpatial DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websiteazure.microsoft.com/­services/­synapse-analyticsmilvus.iogithub.com/­qdrant/­qdrant
qdrant.tech
www.mireo.com/­spacetimegithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsmilvus.io/­docs/­overview.mdqdrant.tech/­documentationwww.xtdb.com/­docs
DeveloperMicrosoftQdrantMireoJuxt Ltd.
Initial release20162019202120202019
Current release2.3.4, January 20241.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++C++, GoRustC++Clojure
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Docker
Linux
macOS
Windows
LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and StringNumbers, Strings, Geo, Booleanyesyes, extensible-data-notation format
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.nonononono
Secondary indexesyesnoyes infoKeywords, numberic ranges, geo, full-textnoyes
SQL infoSupport of SQLyesnonoA subset of ANSI SQL is implementedlimited SQL, making use of Apache Calcite
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
RESTful HTTP APIHTTP REST
JDBC
Supported programming languagesC#
Java
PHP
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Python
Clojure
Java
Server-side scripts infoStored proceduresTransact SQLnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingShardingFixed-grid hypercubesnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesCollection-level replicationReal-time block device replication (DRBD)yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlyesRole based access control and fine grained access rightsKey-based authenticationyes
More information provided by the system vendor
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusQdrantSpaceTimeXTDB infoformerly named Crux
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusQdrantSpaceTimeXTDB infoformerly named Crux
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