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DBMS > Amazon Aurora vs. atoti vs. Datomic vs. MonetDB vs. Qdrant

System Properties Comparison Amazon Aurora vs. atoti vs. Datomic vs. MonetDB vs. Qdrant

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonatoti  Xexclude from comparisonDatomic  Xexclude from comparisonMonetDB  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA relational database management system that stores data in columnsA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSObject oriented DBMSRelational DBMSRelational DBMSVector DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websiteaws.amazon.com/­rds/­auroraatoti.iowww.datomic.comwww.monetdb.orggithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.atoti.iodocs.datomic.comwww.monetdb.org/­Documentationqdrant.tech/­documentation
DeveloperAmazonActiveViamCognitectMonetDB BVQdrant
Initial release2015201220042021
Current release1.0.6735, June 2023Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercialcommercial infofree versions availablecommercial infolimited edition freeOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ClojureCRust
Server operating systemshostedAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumbers, Strings, Geo, Boolean
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.yesnono
Secondary indexesyesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLyesMultidimensional Expressions (MDX)noyes infoSQL 2003 with some extensionsno
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
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
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyesPythonyes infoTransaction Functionsyes, in SQL, C, R
TriggersyesBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding, horizontal partitioningnone infoBut extensive use of caching in the application peersSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoBut extensive use of caching in the application peersnone infoSource-replica replication available in experimental statusCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes inforecommended only for testing and developmentyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardKey-based authentication

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More resources
Amazon AuroraatotiDatomicMonetDBQdrant
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