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DBMS > Amazon DynamoDB vs. Amazon Neptune vs. Google BigQuery

System Properties Comparison Amazon DynamoDB vs. Amazon Neptune vs. Google BigQuery

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonGoogle BigQuery  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudFast, reliable graph database built for the cloudLarge scale data warehouse service with append-only tables
Primary database modelDocument store
Key-value store
Graph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score72.39
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score2.17
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score50.58
Rank#19  Overall
#13  Relational DBMS
Websiteaws.amazon.com/­dynamodbaws.amazon.com/­neptunecloud.google.com/­bigquery
Technical documentationdocs.aws.amazon.com/­dynamodbaws.amazon.com/­neptune/­developer-resourcescloud.google.com/­bigquery/­docs
DeveloperAmazonAmazonGoogle
Initial release201220172010
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedhostedhosted
Data schemeschema-freeschema-freeyes
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 indexesyesnono
SQL infoSupport of SQLnonoyes
APIs and other access methodsRESTful HTTP APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP/JSON API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functions infoin JavaScript
Triggersyes infoby integration with AWS Lambdanono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsno
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 regionACIDno infoSince BigQuery is designed for querying data
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infowith encyption-at-restyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
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 can be defined via the AWS Identity and Access Management (IAM)Access privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)

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More resources
Amazon DynamoDBAmazon NeptuneGoogle BigQuery
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