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DBMS > Amazon DynamoDB vs. Fauna vs. Galaxybase vs. Google BigQuery vs. Microsoft Azure Data Explorer

System Properties Comparison Amazon DynamoDB vs. Fauna vs. Galaxybase vs. Google BigQuery vs. Microsoft Azure Data Explorer

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonGalaxybase  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Scalable, ACID-compliant native distributed parallel graph platformLarge scale data warehouse service with append-only tablesFully managed big data interactive analytics platform
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Graph DBMSRelational DBMSRelational DBMS infocolumn oriented
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.45
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.07
Rank#377  Overall
#40  Graph DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Websiteaws.amazon.com/­dynamodbfauna.comgalaxybase.comcloud.google.com/­bigqueryazure.microsoft.com/­services/­data-explorer
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.fauna.comcloud.google.com/­bigquery/­docsdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperAmazonFauna, Inc.Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司GoogleMicrosoft
Initial release20122014201720102019
Current releaseNov 20, November 2021cloud service with continuous releases
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC and Java
Server operating systemshostedhostedLinuxhostedhosted
Data schemeschema-freeschema-freeStrong typed schemayesFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or dateyesnoyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
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.nononoyes
Secondary indexesyesyesyesnoall fields are automatically indexed
SQL infoSupport of SQLnononoyesKusto Query Language (KQL), SQL subset
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIBrowser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
RESTful HTTP/JSON APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Go
Java
Python
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresnouser defined functionsuser defined procedures and functionsuser defined functions infoin JavaScriptYes, possible languages: KQL, Python, R
Triggersyes infoby integration with AWS Lambdanonoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoconsistent hashingShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononoSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsnono
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 regionACIDACIDno infoSince BigQuery is designed for querying datano
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Identity management, authentication, and access controlRole-based access controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Azure Active Directory Authentication

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More resources
Amazon DynamoDBFauna infopreviously named FaunaDBGalaxybaseGoogle BigQueryMicrosoft Azure Data Explorer
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