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DBMS > Amazon DynamoDB vs. Datomic vs. Postgres-XL vs. RRDtool vs. Trino

System Properties Comparison Amazon DynamoDB vs. Datomic vs. Postgres-XL vs. RRDtool vs. Trino

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonDatomic  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRRDtool  Xexclude from comparisonTrino  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 featuresIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.datomic.comwww.postgres-xl.orgoss.oetiker.ch/­rrdtooltrino.io
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.datomic.comwww.postgres-xl.org/­documentationoss.oetiker.ch/­rrdtool/­doctrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperAmazonCognitectTobias OetikerTrino Software Foundation
Initial release201220122014 infosince 2012, originally named StormDB19992012 info2020 rebranded from PrestoSQL
Current release1.0.6735, June 202310 R1, October 20181.8.0, 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial infolimited edition freeOpen Source infoMozilla public licenseOpen Source infoGPL V2 and FLOSSOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageJava, ClojureCC infoImplementations in Java (e.g. RRD4J) and C# availableJava
Server operating systemshostedAll OS with a Java VMLinux
macOS
HP-UX
Linux
Linux
macOS infofor devlopment
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes
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 infoExporting into and restoring from XML files possibleno
Secondary indexesyesyesyesnodepending on connected data-source
SQL infoSupport of SQLnonoyes infodistributed, parallel query executionnoyes
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
in-process shared library
Pipes
JDBC
RESTful HTTP API
Trino CLI
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
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsuser defined functionsnoyes, depending on connected data-source
Triggersyes infoby integration with AWS LambdaBy using transaction functionsyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peershorizontal partitioningnonedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersnonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistencynonedepending on connected data-source
Foreign keys infoReferential integritynonoyesnono
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 infoMVCCnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesdepending on connected data-source
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-standardnoSQL standard access control
More information provided by the system vendor
Amazon DynamoDBDatomicPostgres-XLRRDtoolTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
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More resources
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