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DBMS > Amazon Aurora vs. Amazon Redshift vs. Rockset

System Properties Comparison Amazon Aurora vs. Amazon Redshift vs. Rockset

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonRockset  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 DSQLLarge scale data warehouse service for use with business intelligence toolsA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.33
Rank#46  Overall
#29  Relational DBMS
Score14.15
Rank#37  Overall
#23  Relational DBMS
Score0.84
Rank#202  Overall
#34  Document stores
Websiteaws.amazon.com/­rds/­auroraaws.amazon.com/­redshiftrockset.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_AuroraOverview.html
docs.aws.amazon.com/­aurora-dsql/­latest/­userguide/­what-is-aurora-dsql.html
docs.aws.amazon.com/­redshiftdocs.rockset.com
Social network pagesLinkedIn
DeveloperAmazonAmazon (based on PostgreSQL)Rockset
Initial release201520122019
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.html
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyes
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: RustCC++
Server operating systemsAmazon Linuxhostedhosted
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesdynamic typing
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 infoingestion from XML files supported
Secondary indexesyesrestrictedall fields are automatically indexed
SQL infoSupport of SQLyes, MySQL and PostgreSQL dialectsyes infodoes not fully support an SQL-standardRead-only SQL queries, including JOINs
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
JDBC
ODBC
HTTP REST
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
All languages supporting JDBC/ODBCGo
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresPL/pgSQL, MySQL stored program language, APG trusted language extensionsuser defined functions infoin Pythonno
TriggersAurora MySQL: Yes. Aurora PostgreSQL: Yes. Aurora DSQL: No.nono
Partitioning methods infoMethods for storing different data on different nodesDBMS table partitioning, Horizontal storage partitioning, Sharding, Distributed horizontal partitioning (DSQL)ShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesFull replication
Logical replication
Snapshot replication
Transactional replication
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate/Strong Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes infoinformational only, not enforced by the systemno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Multi-statementACIDno
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.yesyes
User concepts infoAccess controlRole based permissions
Row level security
fine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset console

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More resources
Amazon AuroraAmazon RedshiftRockset
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Recent citations in the news

Optimizing cost savings: The advantage of Amazon Aurora over self-managed open source databases
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