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DBMS > Coveo vs. EXASOL vs. Milvus vs. Quasardb vs. SwayDB

System Properties Comparison Coveo vs. EXASOL vs. Milvus vs. Quasardb vs. SwayDB

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonEXASOL  Xexclude from comparisonMilvus  Xexclude from comparisonQuasardb  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentHigh-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 storage
Primary database modelSearch engineRelational DBMSVector DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitewww.coveo.comwww.exasol.commilvus.ioquasar.aiswaydb.simer.au
Technical documentationdocs.coveo.comwww.exasol.com/­resourcesmilvus.io/­docs/­overview.mddoc.quasar.ai/­master
DeveloperCoveoExasolquasardbSimer Plaha
Initial release20122000201920092018
Current release2.3.4, January 20243.14.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
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 systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
BSD
Linux
OS X
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyes infointeger and binaryno
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.nonononono
Secondary indexesyesyesnoyes infowith tagsno
SQL infoSupport of SQLnoyesnoSQL-like query languageno
APIs and other access methodsRESTful HTTP API.Net
JDBC
ODBC
WebSocket
RESTful HTTP APIHTTP API
Supported programming languagesC#
Java
JavaScript
Python
Java
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
Server-side scripts infoStored proceduresnouser defined functionsnonono
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTransient modeyes
User concepts infoAccess controlgranular access controls, API key management, content filtersAccess rights for users, groups and roles according to SQL-standardRole based access control and fine grained access rightsCryptographically strong user authentication and audit trailno
More information provided by the system vendor
CoveoEXASOLMilvusQuasardbSwayDB
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
CoveoEXASOLMilvusQuasardbSwayDB
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