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DBMS > Microsoft Azure SQL Database vs. Milvus vs. TimescaleDB vs. Tkrzw vs. TypeDB

System Properties Comparison Microsoft Azure SQL Database vs. Milvus vs. TimescaleDB vs. Tkrzw vs. TypeDB

Editorial information provided by DB-Engines
NameMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonMilvus  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparison
DescriptionDatabase as a Service offering with high compatibility to Microsoft SQL ServerA DBMS designed for efficient storage of vector data and vector similarity searchesA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelRelational DBMSVector DBMSTime Series DBMSKey-value storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websiteazure.microsoft.com/­en-us/­products/­azure-sql/­databasemilvus.iowww.timescale.comdbmx.net/­tkrzwtypedb.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlmilvus.io/­docs/­overview.mddocs.timescale.comtypedb.com/­docs
DeveloperMicrosoftTimescaleMikio HirabayashiVaticle
Initial release20102019201720202016
Current releaseV122.3.4, January 20242.15.0, May 20240.9.3, August 20202.26.3, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoGPL Version 3, commercial licenses available
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++, GoCC++Java
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Linux
macOS
Linux
OS X
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesnoyes
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.yesnoyesnono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyes infofull PostgreSQL SQL syntaxnono
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C++
Java
Python
Ruby
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresTransact SQLnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellnono
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, across time and space (hash partitioning) attributesnoneSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availableSource-replica replication with hot standby and reads on replicas infononeMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing specific database classesno
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based access control and fine grained access rightsfine grained access rights according to SQL-standardnoyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Microsoft Azure SQL Database infoformerly SQL AzureMilvusTimescaleDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTypeDB infoformerly named Grakn
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» 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
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Microsoft Azure SQL Database infoformerly SQL AzureMilvusTimescaleDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTypeDB infoformerly named Grakn
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