DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT
Home | DB-Engines Ranking | Systems | Encyclopedia | Blog | Sponsors | Search | Vendor Login
Featured Products:   RedisNeo4jMariaDB AllegroGraphAstra DB

DBMS > Amazon DynamoDB vs. Brytlyt vs. HEAVY.AI vs. Postgres-XL

System Properties Comparison Amazon DynamoDB vs. Brytlyt vs. HEAVY.AI vs. Postgres-XL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument store
Key-value store		Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score83.88
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score0.31
Rank#271  Overall
#125  Relational DBMS
Score1.33
Rank#150  Overall
#72  Relational DBMS
Score0.71
Rank#208  Overall
#99  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.brytlyt.comgithub.com/­heavyai/­heavydb
www.heavy.ai		www.postgres-xl.org
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.heavy.aiwww.postgres-xl.org/­documentation
DeveloperAmazonBrytlytHEAVY.AI, Inc.
Initial release2012201620162014 infosince 2012, originally named StormDB
Current release0.9, October 20165.10, January 202210 R1, October 2018
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAC++ and CUDAC
Server operating systemshostedLinux
OS X
Windows		LinuxLinux
macOS
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.yes infospecific XML-type available, but no XML query functionality.noyes infoXML type, but no XML query functionality
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesyesyes infodistributed, parallel query execution
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects		JDBC
ODBC
Thrift
Vega		ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby		.Net
C
C++
Delphi
Java
Perl
Python
Tcl		All languages supporting JDBC/ODBC/Thrift
Python		.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLnouser defined functions
Triggersyes infoby integration with AWS Lambdayesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
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 regionACIDnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon DynamoDBBrytlytHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Postgres-XL
Specific characteristicsOptimizes memory and compute layers to deliver unprecedented performance. Natively...
» more
Competitive advantagesOnly HEAVY.AI allows users to visually and interactively discover high-value patterns,...
» more
Typical application scenariosAdvanced analytics, geospatial and time-series analytics, accelerated data science,...
» more
Licensing and pricing modelsHEAVY.AI Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon DynamoDBBrytlytHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Postgres-XL
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all