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DBMS > Linter vs. Milvus vs. Percona Server for MySQL vs. Teradata

System Properties Comparison Linter vs. Milvus vs. Percona Server for MySQL vs. Teradata

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Editorial information provided by DB-Engines
NameLinter  Xexclude from comparisonMilvus  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionRDBMS for high security requirementsA DBMS designed for efficient storage of vector data and vector similarity searchesEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.A hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSVector DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score2.10
Rank#119  Overall
#57  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitelinter.rumilvus.iowww.percona.com/­software/­mysql-database/­percona-serverwww.teradata.com
Technical documentationmilvus.io/­docs/­overview.mdwww.percona.com/­downloads/­Percona-Server-LATESTdocs.teradata.com
Developerrelex.ruPerconaTeradata
Initial release1990201920081984
Current release2.4.4, May 20248.0.36-28, 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2commercial
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 and C++C++, GoC and C++
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linuxhosted
Linux
Data schemeyesyesyes
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.nonoyesyes
Secondary indexesyesnoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyesnoyesyes infoSQL 2016 + extensions
APIs and other access methodsADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP APIADO.NET
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C++
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes infoproprietary syntax with the possibility to convert from PL/SQLnoyesyes infoUDFs, stored procedures, table functions in parallel
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
XtraDB Cluster
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole based access control and fine grained access rightsUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
LinterMilvusPercona Server for MySQLTeradata
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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LinterMilvusPercona Server for MySQLTeradata
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