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DBMS > DolphinDB vs. Google BigQuery vs. Microsoft Azure Cosmos DB

System Properties Comparison DolphinDB vs. Google BigQuery vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionTime Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming languageLarge scale data warehouse service with append-only tablesGlobally distributed, horizontally scalable, multi-model database service
Primary database modelTime Series DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#211  Overall
#12  Time Series DBMS
Score29.65
Rank#25  Overall
#15  Relational DBMS
Score30.40
Rank#24  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitewww.dolphindb.comcloud.google.com/­bigqueryazure.microsoft.com/­services/­cosmos-db
Technical documentationwww.dolphindb.com/­helpcloud.google.com/­bigquery/­docsdocs.microsoft.com/­en-us/­azure/­cosmos-db
DeveloperDolphinDB, IncGoogleMicrosoft
Initial release201820102014
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemsLinux
Windows
hostedhosted
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON 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.nono
Secondary indexesnonoyes infoAll properties auto-indexed by default
SQL infoSupport of SQLSQL-like query languageyesSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesC#
C++
Java
JavaScript
Python
R
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresyesuser defined functions infoin JavaScriptJavaScript
TriggersnonoJavaScript
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoSince BigQuery is designed for querying dataMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAdministrators, Users, GroupsAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)Access rights can be defined down to the item level

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More resources
DolphinDBGoogle BigQueryMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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