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DBMS > EXASOL vs. Milvus vs. Quasardb vs. SwayDB vs. Valentina Server

System Properties Comparison EXASOL vs. Milvus vs. Quasardb vs. SwayDB vs. Valentina Server

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonMilvus  Xexclude from comparisonQuasardb  Xexclude from comparisonSwayDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A DBMS designed for efficient storage of vector data and vector similarity searchesDistributed, high-performance timeseries databaseAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageObject-relational database and reports server
Primary database modelRelational DBMSVector DBMSTime Series DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score1.81
Rank#144  Overall
#5  Vector DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score0.04
Rank#373  Overall
#57  Key-value stores
Score0.18
Rank#329  Overall
#144  Relational DBMS
Websitewww.exasol.commilvus.ioquasar.aiswaydb.simer.auwww.valentina-db.net
Technical documentationwww.exasol.com/­resourcesmilvus.io/­docs/­overview.mddoc.quasar.ai/­mastervalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperExasolquasardbSimer PlahaParadigma Software
Initial release20002019200920181999
Current release2.3.4, January 20243.14.1, January 20245.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGNU Affero GPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
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++Scala
Server operating systemsLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyes infointeger and binarynoyes
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 indexesyesnoyes infowith tagsnoyes
SQL infoSupport of SQLyesnoSQL-like query languagenoyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
RESTful HTTP APIHTTP APIODBC
Supported programming languagesJava
Lua
Python
R
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Kotlin
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsnononoyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnowith Hadoop integrationnono
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 integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTransient modeyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardRole based access control and fine grained access rightsCryptographically strong user authentication and audit trailnofine grained access rights according to SQL-standard
More information provided by the system vendor
EXASOLMilvusQuasardbSwayDBValentina Server
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
EXASOLMilvusQuasardbSwayDBValentina Server
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