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DBMS > Amazon DynamoDB vs. Kinetica vs. OmniSci

System Properties Comparison Amazon DynamoDB vs. Kinetica vs. OmniSci

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudGPU-accelerated database for real-time analysis of large and streaming datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score56.01
Rank#19  Overall
#2  Document stores
#2  Key-value stores
Score0.60
Rank#192  Overall
#95  Relational DBMS
Score2.57
Rank#96  Overall
#48  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.kinetica.comwww.omnisci.com
Technical documentationdocs.aws.amazon.com/­dynamodbwww.kinetica.com/­docswww.omnisci.com/­docs/­latest
DeveloperAmazonKineticaMapD Technologies, Inc.
Initial release201220122016
Current release6.0V4
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoApache Version 2; enterprise edition available
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 languageC, C++C++ and CUDA
Server operating systemshostedLinuxLinux
Data schemeschema-freeyesyes
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP APIRESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersyes infoby integration with AWS Lambdayes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-slave replicationMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesno
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 regionnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and roles on table levelfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon DynamoDBKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Specific characteristicsAmazon DynamoDB is a key-value and document database that delivers single-digit millisecond...
» more
Competitive advantagesPERFORMANCE AT SCALE DynamoDB supports some of the world’s largest scale applications...
» more
Typical application scenariosServerless web applications Build powerful web applications that automatically scale...
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Key customersNike Digital migrated their large clusters of Cassandra to a fully managed Amazon...
» more
Market metricsAccording to DB-Engines' ranking , Amazon DynamoDB is the most popular fully managed...
» more
Licensing and pricing modelsDynamoDB charges for reading, writing, and storing data in your DynamoDB tables,...
» more

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More resources
Amazon DynamoDBKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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