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DBMS > CrateDB vs. Milvus vs. TDSQL for MySQL

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

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonMilvus  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionDistributed Database based on LuceneA 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.
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Vector DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitecratedb.commilvus.iowww.tencentcloud.com/­products/­dcdb
Technical documentationcratedb.com/­docsmilvus.io/­docs/­overview.mdwww.tencentcloud.com/­document/­product/­1042
DeveloperCrateTencent
Initial release201320192013
Current release2.3.4, January 2024
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2.0commercial
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.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaC++, Go
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyes
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 indexesyesnoyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitynoyes
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions (Javascript)noyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategynoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlrights management via user accountsRole based access control and fine grained access rightsUsers with fine-grained authorization concept
More information provided by the system vendor
CrateDBMilvusTDSQL for MySQL
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
RAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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CrateDBMilvusTDSQL for MySQL
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