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DBMS > Amazon Aurora vs. Apache Cassandra vs. atoti

System Properties Comparison Amazon Aurora vs. Apache Cassandra vs. atoti

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Cassandra  Xexclude from comparisonatoti  Xexclude from comparison
DescriptionFully managed relational database service built for the cloud providing unparalleled high performance and availability at global scale for MySQL, PostgreSQL, and DSQLWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.
Primary database modelRelational DBMSWide column storeObject oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Vector DBMS infostarting with release V5
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.99
Rank#44  Overall
#28  Relational DBMS
Score106.65
Rank#11  Overall
#1  Wide column stores
Score0.49
Rank#244  Overall
#11  Object oriented DBMS
Websiteaws.amazon.com/­rds/­auroracassandra.apache.orgatoti.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_AuroraOverview.html
docs.aws.amazon.com/­aurora-dsql/­latest/­userguide/­what-is-aurora-dsql.html
cassandra.apache.org/­doc/­latestdocs.atoti.io
Social network pagesLinkedIn
DeveloperAmazonApache Software Foundation infoApache top level project, originally developped by FacebookActiveViam
Initial release20152008
Current releaseAurora DSQL, November 2024 (preview), PostgreSQL: docs.aws.amazon.com/­AmazonRDS/­latest/­AuroraPostgreSQLReleaseNotes/­AuroraPostgreSQL.Updates.html , MySQL: docs.aws.amazon.com/­AmazonRDS/­latest/­AuroraMySQLReleaseNotes/­AuroraMySQL.release-calendars.html5.0-rc1, July 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial infofree versions available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePostgreSQL/MySQL: C, C++, Aurora DSQL: RustJavaJava
Server operating systemsAmazon LinuxBSD
Linux
OS X
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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.yesno
Secondary indexesyesrestricted infoonly equality queries, not always the best performing solution
SQL infoSupport of SQLyes, MySQL and PostgreSQL dialectsSQL-like SELECT, DML and DDL statements (CQL)Multidimensional Expressions (MDX)
APIs and other access methodsDSQL API: docs.aws.amazon.com/­aurora-dsql/­latest/­userguide/­CHAP_api_reference.html
MySQL wire protocol
PostgreSQL wire protocol
RDS Data API: docs.aws.amazon.com/­AmazonRDS/­latest/­UserGuide/­ProgrammingGuide.html
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Rust
Scheme
Tcl
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresPL/pgSQL, MySQL stored program language, APG trusted language extensionsnoPython
TriggersAurora MySQL: Yes. Aurora PostgreSQL: Yes. Aurora DSQL: No.yes
Partitioning methods infoMethods for storing different data on different nodesDBMS table partitioning, Horizontal storage partitioning, Sharding, Distributed horizontal partitioning (DSQL)Sharding infono "single point of failure"Sharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesFull replication
Logical replication
Snapshot replication
Transactional replication
selectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate/Strong Consistency
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Multi-statementno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of dataMultiversion concurrency control (MVCC) with fully compatible MySQL and PostgreSQL options. Optimistic concurrency control (OCC) in Aurora DSQL.yesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentData is replicated across 3 Availability Zones (AZs) within a single AWS Region. Active-active multi-Region high availability across 3 Regions (2 active, 1 witness) and automated failover recovery with Aurora DSQL. Automated, continuous backup of data with point in time restore. Fault-tolerant, self-healing storage system.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlRole based permissions
Row level security
Access rights for users can be defined per object
More information provided by the system vendor
Amazon AuroraApache Cassandraatoti
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