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DBMS > Amazon Aurora vs. Datomic vs. Hyprcubd vs. Ingres vs. Vitess

System Properties Comparison Amazon Aurora vs. Datomic vs. Hyprcubd vs. Ingres vs. Vitess

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDatomic  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonVitess  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityServerless Time Series DBMSWell established RDBMSScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.datomic.comhyprcubd.com (offline)www.actian.com/­databases/­ingresvitess.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.datomic.comdocs.actian.com/­ingresvitess.io/­docs
DeveloperAmazonCognitectHyprcubd, Inc.Actian CorporationThe Linux Foundation, PlanetScale
Initial release201520121974 infooriginally developed at University Berkely in early 1970s2013
Current release1.0.7075, December 202311.2, May 202215.0.2, December 2022
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureGoCGo
Server operating systemshostedAll OS with a Java VMhostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Docker
Linux
macOS
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyesyes
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 infobut tools for importing/exporting data from/to XML-files available
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesnoSQL-like query languageyesyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIgRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Clojure
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsnoyesyes infoproprietary syntax
TriggersyesBy using transaction functionsnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnone infoBut extensive use of caching in the application peershorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoBut extensive use of caching in the application peersIngres ReplicatorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnonoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes infoMVCCyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentnonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnotoken accessfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon AuroraDatomicHyprcubdIngresVitess
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