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DBMS > Amazon Aurora vs. Apache Cassandra vs. HEAVY.AI

System Properties Comparison Amazon Aurora vs. Apache Cassandra vs. HEAVY.AI

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Cassandra  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  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 accessA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelRelational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Vector DBMS infostarting with release V5Spatial DBMS
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
Score1.19
Rank#164  Overall
#73  Relational DBMS
Websiteaws.amazon.com/­rds/­auroracassandra.apache.orggithub.com/­heavyai/­heavydb
www.heavy.ai
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.heavy.ai
Social network pagesLinkedIn
DeveloperAmazonApache Software Foundation infoApache top level project, originally developped by FacebookHEAVY.AI, Inc.
Initial release201520082016
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 20245.10, January 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache Version 2; enterprise edition 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: RustJavaC++ and CUDA
Server operating systemsAmazon LinuxBSD
Linux
OS X
Windows
Linux
Data schemeyesschema-freeyes
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 solutionno
SQL infoSupport of SQLyes, MySQL and PostgreSQL dialectsSQL-like SELECT, DML and DDL statements (CQL)yes
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
JDBC
ODBC
Thrift
Vega
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
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresPL/pgSQL, MySQL stored program language, APG trusted language extensionsnono
TriggersAurora MySQL: Yes. Aurora PostgreSQL: Yes. Aurora DSQL: No.yesno
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 infoRound robin
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 possibleMulti-source replication
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
Immediate Consistency
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
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 objectfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon AuroraApache CassandraHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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