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DBMS > Amazon DynamoDB vs. Google BigQuery vs. Snowflake vs. Tigris

System Properties Comparison Amazon DynamoDB vs. Google BigQuery vs. Snowflake vs. Tigris

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonSnowflake  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudLarge scale data warehouse service with append-only tablesCloud-based data warehousing service for structured and semi-structured dataA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websiteaws.amazon.com/­dynamodbcloud.google.com/­bigquerywww.snowflake.comwww.tigrisdata.com
Technical documentationdocs.aws.amazon.com/­dynamodbcloud.google.com/­bigquery/­docsdocs.snowflake.net/­manuals/­index.htmlwww.tigrisdata.com/­docs
DeveloperAmazonGoogleSnowflake Computing Inc.Tigris Data, Inc.
Initial release2012201020142022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedhostedhostedLinux
macOS
Windows
Data schemeschema-freeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
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.noyesno
Secondary indexesyesnoyes
SQL infoSupport of SQLnoyesyesno
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APICLI Client
JDBC
ODBC
CLI Client
gRPC
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptuser defined functionsno
Triggersyes infoby integration with AWS Lambdanono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
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 regionno infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess 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)Users with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and roles

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More resources
Amazon DynamoDBGoogle BigQuerySnowflakeTigris
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