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

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

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDatomic  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonSqrrl  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed 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 RDBMSAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column 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
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.datomic.comhyprcubd.com (offline)www.actian.com/­databases/­ingressqrrl.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.datomic.comdocs.actian.com/­ingres
DeveloperAmazonCognitectHyprcubd, Inc.Actian CorporationAmazon infooriginally Sqrrl Data, Inc.
Initial release201520121974 infooriginally developed at University Berkely in early 1970s2012
Current release1.0.7075, December 202311.2, May 2022
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercialcommercial
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, ClojureGoCJava
Server operating systemshostedAll OS with a Java VMhostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesyesyesyesschema-free
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 languageyesno
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIgRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
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
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsnoyesno
TriggersyesBy using transaction functionsnoyesno
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 infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoBut extensive use of caching in the application peersIngres Replicatorselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes infoMVCCyes
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 developmentnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnotoken accessfine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Amazon AuroraDatomicHyprcubdIngresSqrrl
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