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DBMS > Amazon DynamoDB vs. Datomic vs. Postgres-XL vs. SQL.JS

System Properties Comparison Amazon DynamoDB vs. Datomic vs. Postgres-XL vs. SQL.JS

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonDatomic  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresPort of SQLite to JavaScript
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.datomic.comwww.postgres-xl.orgsql.js.org
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.datomic.comwww.postgres-xl.org/­documentationsql.js.org/­documentation/­index.html
DeveloperAmazonCognitectAlon Zakai infoenhancements implemented by others
Initial release201220122014 infosince 2012, originally named StormDB2012
Current release1.0.6735, June 202310 R1, October 2018
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial infolimited edition freeOpen Source infoMozilla public licenseOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureCJavaScript
Server operating systemshostedAll OS with a Java VMLinux
macOS
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyes
SQL infoSupport of SQLnonoyes infodistributed, parallel query executionyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JavaScript API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Clojure
Java
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsuser defined functionsno
Triggersyes infoby integration with AWS LambdaBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peershorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nofine grained access rights according to SQL-standardno

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More resources
Amazon DynamoDBDatomicPostgres-XLSQL.JS
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