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DBMS > Amazon DynamoDB vs. Apache Drill vs. Atos Standard Common Repository vs. FaunaDB

System Properties Comparison Amazon DynamoDB vs. Apache Drill vs. Atos Standard Common Repository vs. FaunaDB

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonApache Drill  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFaunaDB  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 cloudSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageHighly 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 simplicity
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Document store
Key-value store
Document store
Graph DBMS
Relational DBMS
Time Series 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
Score2.72
Rank#91  Overall
#17  Document stores
#46  Relational DBMS
Score0.87
Rank#159  Overall
#23  Document stores
#13  Graph DBMS
#77  Relational DBMS
#9  Time Series DBMS
Websiteaws.amazon.com/­dynamodbdrill.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryfauna.com
Technical documentationdocs.aws.amazon.com/­dynamodbdrill.apache.org/­docsfauna.com/­documentation
DeveloperAmazonApache Software FoundationAtos Convergence CreatorsFauna, Inc.
Initial release2012201220162014
Current release1.17.0, December 20191703
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2commercialcommercial
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 languageJavaScala
Server operating systemshostedLinux
OS X
Windows
LinuxLinux
Data schemeschema-freeschema-freeSchema and schema-less with LDAP viewsschema-free
Typing infopredefined data types such as float or dateyesyesoptionalno
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.noyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliantnono
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
LDAPRESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C++All languages with LDAP bindingsC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functions
Triggersyes infoby integration with AWS Lambdanoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infocell divisionhorizontal partitioning infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMasterless
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
noneImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononoyes
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 regionnoAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Depending on the underlying data sourceLDAP bind authenticationIdentity management, authentication, and access control
More information provided by the system vendor
Amazon DynamoDBApache DrillAtos Standard Common RepositoryFaunaDB
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
Amazon DynamoDBApache DrillAtos Standard Common RepositoryFaunaDB
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