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DBMS > Amazon Aurora vs. EXASOL vs. Kinetica vs. Milvus vs. Rockset

System Properties Comparison Amazon Aurora vs. EXASOL vs. Kinetica vs. Milvus vs. Rockset

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonEXASOL  Xexclude from comparisonKinetica  Xexclude from comparisonMilvus  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Fully vectorized database across both GPUs and CPUsA DBMS designed for efficient storage of vector data and vector similarity searchesA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSRelational DBMSRelational DBMSVector DBMSDocument store
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websiteaws.amazon.com/­rds/­aurorawww.exasol.comwww.kinetica.commilvus.iorockset.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.exasol.com/­resourcesdocs.kinetica.commilvus.io/­docs/­overview.mddocs.rockset.com
DeveloperAmazonExasolKineticaRockset
Initial release20152000201220192019
Current release7.1, August 20212.3.4, January 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
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 languageC, C++C++, GoC++
Server operating systemshostedLinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesVector, Numeric and Stringdynamic typing
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.yesnononono infoingestion from XML files supported
Secondary indexesyesyesyesnoall fields are automatically indexed
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsnoRead-only SQL queries, including JOINs
APIs and other access methodsADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP REST
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Lua
Python
R
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functionsuser defined functionsnono
Triggersyesyesyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles on table levelRole based access control and fine grained access rightsAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
Amazon AuroraEXASOLKineticaMilvusRockset
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 AuroraEXASOLKineticaMilvusRockset
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