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DBMS > Amazon Aurora vs. Apache Cassandra vs. Datastax Enterprise

System Properties Comparison Amazon Aurora vs. Apache Cassandra vs. Datastax Enterprise

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Cassandra  Xexclude from comparisonDatastax Enterprise  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 accessDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.
Primary database modelRelational DBMSWide column storeWide column store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Vector DBMS infostarting with release V5Document store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.28
Rank#43  Overall
#27  Relational DBMS
Score102.58
Rank#11  Overall
#1  Wide column stores
Score4.22
Rank#65  Overall
#4  Wide column stores
Websiteaws.amazon.com/­rds/­auroracassandra.apache.orgwww.datastax.com/­products/­datastax-enterprise
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.datastax.com
Social network pagesLinkedIn
DeveloperAmazonApache Software Foundation infoApache top level project, originally developped by FacebookDataStax
Initial release201520082011
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 20246.8, April 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePostgreSQL/MySQL: C, C++, Aurora DSQL: RustJavaJava
Server operating systemsAmazon LinuxBSD
Linux
OS X
Windows
Linux
OS X
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesrestricted infoonly equality queries, not always the best performing solutionyes
SQL infoSupport of SQLyes, MySQL and PostgreSQL dialectsSQL-like SELECT, DML and DDL statements (CQL)SQL-like DML and DDL statements (CQL); Spark SQL
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
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
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
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresPL/pgSQL, MySQL stored program language, APG trusted language extensionsnono
TriggersAurora MySQL: Yes. Aurora PostgreSQL: Yes. Aurora DSQL: No.yesyes
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 infono "single point of failure"
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 possibleconfigurable replication factor, datacenter aware, advanced replication for edge computing
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
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
Immediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Multi-statementno infoAtomicity and isolation are supported for single operationsno 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
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.yesyes
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 objectAccess rights for users can be defined per object
More information provided by the system vendor
Amazon AuroraApache CassandraDatastax Enterprise
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
DataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Supporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Applications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Capital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsApache Cassandra is used by 40% of the Fortune 100.
» more
Among the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
Annual subscription
» more
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