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DBMS > Amazon Aurora vs. Apache Phoenix vs. Milvus vs. OrientDB

System Properties Comparison Amazon Aurora vs. Apache Phoenix vs. Milvus vs. OrientDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Phoenix  Xexclude from comparisonMilvus  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA scale-out RDBMS with evolutionary schema built on Apache HBaseA DBMS designed for efficient storage of vector data and vector similarity searchesMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSRelational DBMSVector DBMSDocument store
Graph DBMS
Key-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score2.78
Rank#103  Overall
#3  Vector DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websiteaws.amazon.com/­rds/­auroraphoenix.apache.orgmilvus.ioorientdb.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlphoenix.apache.orgmilvus.io/­docs/­overview.mdwww.orientdb.com/­docs/­last/­index.html
DeveloperAmazonApache Software FoundationOrientDB LTD; CallidusCloud; SAP
Initial release2015201420192010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.3.4, January 20243.2.29, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 languageJavaC++, GoJava
Server operating systemshostedLinux
Unix
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
All OS with a Java JDK (>= JDK 6)
Data schemeyesyes infolate-bound, schema-on-read capabilitiesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringyes
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.yesnonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyesnoSQL-like query language, no joins
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCRESTful HTTP APITinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesuser defined functionsnoJava, Javascript
TriggersyesnonoHooks
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesnonoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyRole based access control and fine grained access rightsAccess rights for users and roles; record level security configurable
More information provided by the system vendor
Amazon AuroraApache PhoenixMilvusOrientDB
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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Amazon AuroraApache PhoenixMilvusOrientDB
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