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DBMS > Apache Phoenix vs. KairosDB vs. Kinetica vs. Milvus

System Properties Comparison Apache Phoenix vs. KairosDB vs. Kinetica vs. Milvus

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonKairosDB  Xexclude from comparisonKinetica  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseDistributed Time Series DBMS based on Cassandra or H2Fully vectorized database across both GPUs and CPUsA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSTime Series DBMSRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websitephoenix.apache.orggithub.com/­kairosdb/­kairosdbwww.kinetica.commilvus.io
Technical documentationphoenix.apache.orgkairosdb.github.iodocs.kinetica.commilvus.io/­docs/­overview.md
DeveloperApache Software FoundationKinetica
Initial release2014201320122019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.2.2, November 20187.1, August 20212.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoApache Version 2.0
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 languageJavaJavaC, C++C++, Go
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
LinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesVector, Numeric and String
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 indexesyesnoyesno
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsno
APIs and other access methodsJDBCGraphite protocol
HTTP REST
Telnet API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Java
JavaScript infoNode.js
PHP
Python
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsno
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configurationBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
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.yesnoyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancysimple password-based access controlAccess rights for users and roles on table levelRole based access control and fine grained access rights
More information provided by the system vendor
Apache PhoenixKairosDBKineticaMilvus
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
Apache PhoenixKairosDBKineticaMilvus
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