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DBMS > Apache Drill vs. Milvus vs. TDengine vs. TDSQL for MySQL

System Properties Comparison Apache Drill vs. Milvus vs. TDengine vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonMilvus  Xexclude from comparisonTDengine  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA DBMS designed for efficient storage of vector data and vector similarity searchesTime Series DBMS and big data platformA 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
Relational DBMS
Vector DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitedrill.apache.orgmilvus.iogithub.com/­taosdata/­TDengine
tdengine.com
www.tencentcloud.com/­products/­dcdb
Technical documentationdrill.apache.org/­docsmilvus.io/­docs/­overview.mddocs.tdengine.comwww.tencentcloud.com/­document/­product/­1042
DeveloperApache Software FoundationTDEngine, previously Taos DataTencent
Initial release2012201920192013
Current release1.20.3, January 20232.3.4, January 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoAGPL V3, also commercial editions availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
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++, GoC
Server operating systemsLinux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Windows
hosted
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesVector, 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 indexesnononoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoStandard SQL with extensions for time-series applicationsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC++C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnonoyes
Triggersnonoyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesno
User concepts infoAccess controlDepending on the underlying data sourceRole based access control and fine grained access rightsyesUsers with fine-grained authorization concept
More information provided by the system vendor
Apache DrillMilvusTDengineTDSQL for MySQL
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» 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
TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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