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DBMS > KeyDB vs. Linter vs. Milvus vs. TDengine

System Properties Comparison KeyDB vs. Linter vs. Milvus vs. TDengine

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Editorial information provided by DB-Engines
NameKeyDB  Xexclude from comparisonLinter  Xexclude from comparisonMilvus  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsRDBMS for high security requirementsA DBMS designed for efficient storage of vector data and vector similarity searchesTime Series DBMS and big data platform
Primary database modelKey-value storeRelational DBMSVector DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websitegithub.com/­Snapchat/­KeyDB
keydb.dev
linter.rumilvus.iogithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.keydb.devmilvus.io/­docs/­overview.mddocs.tdengine.com
DeveloperEQ Alpha Technology Ltd.relex.ruTDEngine, previously Taos Data
Initial release2019199020192019
Current release2.3.4, January 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoBSD-3commercialOpen Source infoApache Version 2.0Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenononono
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++C and C++C++, GoC
Server operating systemsLinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datepartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesVector, 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.nononono
Secondary indexesyes infoby using the Redis Search moduleyesnono
SQL infoSupport of SQLnoyesnoStandard SQL with extensions for time-series applications
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP APIJDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresLuayes infoproprietary syntax with the possibility to convert from PL/SQLnono
Triggersnoyesnoyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataOptimistic locking, atomic execution of commands blocks and scriptsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlsimple password-based access control and ACLfine grained access rights according to SQL-standardRole based access control and fine grained access rightsyes
More information provided by the system vendor
KeyDBLinterMilvusTDengine
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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