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DBMS > Milvus vs. SingleStore vs. TDSQL for MySQL

System Properties Comparison Milvus vs. SingleStore vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameMilvus  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionA DBMS designed for efficient storage of vector data and vector similarity searchesMySQL 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 high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelVector DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#144  Overall
#5  Vector DBMS
Score5.91
Rank#61  Overall
#34  Relational DBMS
Score0.82
Rank#213  Overall
#97  Relational DBMS
Websitemilvus.iowww.singlestore.comwww.tencentcloud.com/­products/­dcdb
Technical documentationmilvus.io/­docs/­overview.mddocs.singlestore.comwww.tencentcloud.com/­document/­product/­1042
DeveloperSingleStore Inc.Tencent
Initial release201920132013
Current release2.3.4, January 20248.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
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++, GoC++, Go
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux info64 bit version requiredhosted
Data schemeyesyes
Typing infopredefined data types such as float or dateVector, Numeric and Stringyesyes
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 indexesnoyesyes
SQL infoSupport of SQLnoyes infobut no triggers and foreign keysyes
APIs and other access methodsRESTful HTTP APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
JDBC
ODBC
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infohash partitioningAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infostores two copies of each physical data partition on two separate nodesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes 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.yesyesno
User concepts infoAccess controlRole based access control and fine grained access rightsFine grained access control via users, groups and rolesUsers with fine-grained authorization concept
More information provided by the system vendor
MilvusSingleStore infoformer name was MemSQLTDSQL for MySQL
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...
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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....
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Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
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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...
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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...
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F ree Tier and Enterprise Edition
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More resources
MilvusSingleStore infoformer name was MemSQLTDSQL for MySQL
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