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DBMS > Blueflood vs. GeoSpock vs. Milvus vs. TDSQL for MySQL vs. Transwarp KunDB

System Properties Comparison Blueflood vs. GeoSpock vs. Milvus vs. TDSQL for MySQL vs. Transwarp KunDB

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonGeoSpock  Xexclude from comparisonMilvus  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on CassandraSpatial and temporal data processing engine for extreme data scaleA DBMS designed for efficient storage of vector data and vector similarity searchesA 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.OLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelTime Series DBMSRelational DBMSVector DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Score0.14
Rank#341  Overall
#149  Relational DBMS
Websiteblueflood.iogeospock.commilvus.iowww.tencentcloud.com/­products/­dcdbwww.transwarp.cn/­en/­product/­kundb
Technical documentationgithub.com/­rax-maas/­blueflood/­wikimilvus.io/­docs/­overview.mdwww.tencentcloud.com/­document/­product/­1042
DeveloperRackspaceGeoSpockTencentTranswarp
Initial release201320192013
Current release2.0, September 20192.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
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 languageJavaJava, JavascriptC++, Go
Server operating systemsLinux
OS X
hostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hosted
Data schemepredefined schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesVector, 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.nononono
Secondary indexesnotemporal, categoricalnoyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)noyesyes
APIs and other access methodsHTTP RESTJDBCRESTful HTTP APIJDBC
ODBC
Supported programming languagesC++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononoyesyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraAutomatic shardingShardingAutomatic shardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
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.nonoyesno
User concepts infoAccess controlnoAccess rights for users can be defined per tableRole based access control and fine grained access rightsUsers with fine-grained authorization conceptyes
More information provided by the system vendor
BluefloodGeoSpockMilvusTDSQL for MySQLTranswarp KunDB
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
BluefloodGeoSpockMilvusTDSQL for MySQLTranswarp KunDB
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