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DBMS > EXASOL vs. Kdb vs. Milvus vs. OrigoDB vs. SwayDB

System Properties Comparison EXASOL vs. Kdb vs. Milvus vs. OrigoDB vs. SwayDB

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonKdb  Xexclude from comparisonMilvus  Xexclude from comparisonOrigoDB  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.High performance Time Series DBMSA DBMS designed for efficient storage of vector data and vector similarity searchesA fully ACID in-memory object graph databaseAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Vector DBMSDocument store
Object oriented DBMS
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitewww.exasol.comkx.commilvus.ioorigodb.comswaydb.simer.au
Technical documentationwww.exasol.com/­resourcescode.kx.commilvus.io/­docs/­overview.mdorigodb.com/­docs
DeveloperExasolKx Systems, a division of First Derivatives plcRobert Friberg et alSimer Plaha
Initial release20002000 infokdb was released 2000, kdb+ in 200320192009 infounder the name LiveDB2018
Current release3.6, May 20182.3.4, January 2024
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versionOpen Source infoApache Version 2.0Open SourceOpen Source infoGNU Affero GPL V3.0
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 languageqC++, GoC#Scala
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesVector, Numeric and StringUser defined using .NET types and collectionsno
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.noyesnono infocan be achieved using .NETno
Secondary indexesyesyes infotable attribute 'grouped'noyesno
SQL infoSupport of SQLyesSQL-like query language (q)nonono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP API.NET Client API
HTTP API
LINQ
Supported programming languagesJava
Lua
Python
R
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Go
Java
JavaScript (Node.js)
Python
.NetJava
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnoyesno
Triggersyesyes infowith viewsnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardinghorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationno infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesnodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardrights management via user accountsRole based access control and fine grained access rightsRole based authorizationno
More information provided by the system vendor
EXASOLKdbMilvusOrigoDBSwayDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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RAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsupon request
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
EXASOLKdbMilvusOrigoDBSwayDB
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