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DBMS > Amazon Aurora vs. SQL.JS vs. Yaacomo

System Properties Comparison Amazon Aurora vs. SQL.JS vs. Yaacomo

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonSQL.JS  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionFully managed relational database service built for the cloud providing unparalleled high performance and availability at global scale for MySQL, PostgreSQL, and DSQLPort of SQLite to JavaScriptOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.28
Rank#43  Overall
#27  Relational DBMS
Score0.49
Rank#243  Overall
#113  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorasql.js.orgyaacomo.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
sql.js.org/­documentation/­index.html
Social network pagesLinkedIn
DeveloperAmazonAlon Zakai infoenhancements implemented by othersQ2WEB GmbH
Initial release201520122009
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 SourcecommercialOpen Sourcecommercial
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: RustJavaScript
Server operating systemsAmazon Linuxserver-less, requires a JavaScript environment (browser, Node.js)Android
Linux
Windows
Data schemeyesyesyes
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 indexesyesyes
SQL infoSupport of SQLyes, MySQL and PostgreSQL dialectsyes infoSQL-92 is not fully supportedyes
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
JavaScript APIJDBC
ODBC
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
JavaScript
Server-side scripts infoStored proceduresPL/pgSQL, MySQL stored program language, APG trusted language extensionsno
TriggersAurora MySQL: Yes. Aurora PostgreSQL: Yes. Aurora DSQL: No.noyes
Partitioning methods infoMethods for storing different data on different nodesDBMS table partitioning, Horizontal storage partitioning, Sharding, Distributed horizontal partitioning (DSQL)nonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesFull replication
Logical replication
Snapshot replication
Transactional replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate/Strong Consistency
noneImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Multi-statementACIDACID
Concurrency infoSupport for concurrent manipulation of dataMultiversion concurrency control (MVCC) with fully compatible MySQL and PostgreSQL options. Optimistic concurrency control (OCC) in Aurora DSQL.yes
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.no infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlRole based permissions
Row level security
nofine grained access rights according to SQL-standard

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More resources
Amazon AuroraSQL.JSYaacomo
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