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DBMS > Microsoft Azure SQL Database vs. Milvus vs. RRDtool vs. SingleStore vs. Tkrzw

System Properties Comparison Microsoft Azure SQL Database vs. Milvus vs. RRDtool vs. SingleStore vs. Tkrzw

Editorial information provided by DB-Engines
NameMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonMilvus  Xexclude from comparisonRRDtool  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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 searchesIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSVector DBMSTime Series DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
Time Series DBMS
Vector 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
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score5.38
Rank#62  Overall
#35  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websiteazure.microsoft.com/­en-us/­products/­azure-sql/­databasemilvus.iooss.oetiker.ch/­rrdtoolwww.singlestore.comdbmx.net/­tkrzw
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlmilvus.io/­docs/­overview.mdoss.oetiker.ch/­rrdtool/­docdocs.singlestore.com
DeveloperMicrosoftTobias OetikerSingleStore Inc.Mikio Hirabayashi
Initial release20102019199920132020
Current releaseV122.3.4, January 20241.8.0, 20228.5, January 20240.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL V2 and FLOSScommercial infofree developer edition availableOpen Source infoApache Version 2.0
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 MilvusSingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC++C++, GoC infoImplementations in Java (e.g. RRD4J) and C# availableC++, GoC++
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
HP-UX
Linux
Linux info64 bit version requiredLinux
macOS
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and StringNumeric data onlyyesno
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.yesnono infoExporting into and restoring from XML files possiblenono
Secondary indexesyesnonoyes
SQL infoSupport of SQLyesnonoyes infobut no triggers and foreign keysno
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIin-process shared library
Pipes
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresTransact SQLnonoyesno
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availablenoneSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based access control and fine grained access rightsnoFine grained access control via users, groups and rolesno
More information provided by the system vendor
Microsoft Azure SQL Database infoformerly SQL AzureMilvusRRDtoolSingleStore infoformer name was MemSQLTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
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SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Customers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
F ree Tier and Enterprise Edition
» more

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More resources
Microsoft Azure SQL Database infoformerly SQL AzureMilvusRRDtoolSingleStore infoformer name was MemSQLTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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