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DBMS > Amazon DynamoDB vs. Atos Standard Common Repository vs. FaunaDB vs. Splice Machine

System Properties Comparison Amazon DynamoDB vs. Atos Standard Common Repository vs. FaunaDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFaunaDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksStrongly consistent database capable of global horizontal scale with a focus on operational simplicityOpen-Source SQL RDBMS powered by Spark and Hadoop
Primary database modelDocument store
Key-value store
Document store
Key-value store
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score64.27
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score0.87
Rank#159  Overall
#23  Document stores
#13  Graph DBMS
#77  Relational DBMS
#9  Time Series DBMS
Score0.64
Rank#190  Overall
#93  Relational DBMS
Websiteaws.amazon.com/­dynamodbatos.net/en/convergence-creators/portfolio/standard-common-repositoryfauna.comsplicemachine.com
Technical documentationdocs.aws.amazon.com/­dynamodbfauna.com/­documentationdoc.splicemachine.com
DeveloperAmazonAtos Convergence CreatorsFauna, Inc.John Leach
Initial release2012201620142014
Current release17032.0
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercialOpen Source infoextended commercial Enterprise edition available
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 languageJavaScalaJava
Server operating systemshostedLinuxLinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalnoyes
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.yesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsRESTful HTTP APILDAPRESTful HTTP APIJDBC
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
All languages with LDAP bindingsC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Java
JRuby
Scala
Server-side scripts infoStored proceduresnonouser defined functionsyes infoJava
Triggersyes infoby integration with AWS Lambdayesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionhorizontal partitioning infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMasterlessMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono infouses HBase instead
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 ConsistencyImmediate Consistency
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 regionAtomic execution of specific operationsACIDACID
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.yesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)LDAP bind authenticationIdentity management, authentication, and access controlAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Amazon DynamoDBAtos Standard Common RepositoryFaunaDBSplice Machine
Specific characteristicsServerless cloud database for modern applications Native GraphQL API High performance...
» more
Competitive advantagesDocument-relational interface: combines flexibility in modeling with flexibility...
» more
Typical application scenariosModern Javascript Apps Identity management Multi-tenant SaaS backend Social content...
» more
Key customersNextdoor ShiftX
» more
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More resources
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