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DBMS > Amazon Aurora vs. Infobright vs. JanusGraph vs. Milvus

System Properties Comparison Amazon Aurora vs. Infobright vs. JanusGraph vs. Milvus

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonInfobright  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSRelational DBMSGraph DBMSVector DBMS
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
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Websiteaws.amazon.com/­rds/­auroraignitetech.com/­softwarelibrary/­infobrightdbjanusgraph.orgmilvus.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.janusgraph.orgmilvus.io/­docs/­overview.md
DeveloperAmazonIgnite Technologies Inc.; formerly InfoBright Inc.Linux Foundation; originally developed as Titan by Aurelius
Initial release2015200520172019
Current release0.6.3, February 20232.4.4, May 2024
License infoCommercial or Open Sourcecommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoApache 2.0Open Source infoApache Version 2.0
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 languageCJavaC++, Go
Server operating systemshostedLinux
Windows
Linux
OS X
Unix
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesyesyes
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.yesnonono
Secondary indexesyesno infoKnowledge Grid Technology used insteadyesno
SQL infoSupport of SQLyesyesnono
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP 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
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Clojure
Java
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnoyesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
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-standardfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesUser authentification and security via Rexster Graph ServerRole based access control and fine grained access rights
More information provided by the system vendor
Amazon AuroraInfobrightJanusGraph infosuccessor of TitanMilvus
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
Amazon AuroraInfobrightJanusGraph infosuccessor of TitanMilvus
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