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DBMS > Apache Phoenix vs. Badger vs. JaguarDB vs. Milvus

System Properties Comparison Apache Phoenix vs. Badger vs. JaguarDB vs. Milvus

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBadger  Xexclude from comparisonJaguarDB  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Performant, highly scalable DBMS for AI and IoT applicationsA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSKey-value storeKey-value store
Vector DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Websitephoenix.apache.orggithub.com/­dgraph-io/­badgerwww.jaguardb.commilvus.io
Technical documentationphoenix.apache.orggodoc.org/­github.com/­dgraph-io/­badgerwww.jaguardb.com/­support.htmlmilvus.io/­docs/­overview.md
DeveloperApache Software FoundationDGraph LabsDataJaguar, Inc.
Initial release2014201720152019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.3 July 20232.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoGPL V3.0Open 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 languageJavaGoC++ infothe server part. Clients available in other languagesC++, Go
Server operating systemsLinux
Unix
Windows
BSD
Linux
OS X
Solaris
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 dateyesnoyesVector, 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 SQLyesnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersno
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
GoC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source 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 ConsistencynoneEventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynononono
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.yesnonoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynorights management via user accountsRole based access control and fine grained access rights
More information provided by the system vendor
Apache PhoenixBadgerJaguarDBMilvus
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...
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Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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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...
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Apache PhoenixBadgerJaguarDBMilvus
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