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DBMS > DolphinDB vs. Google BigQuery vs. IBM Cloudant vs. Kinetica vs. Microsoft Azure Cosmos DB

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

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Large scale data warehouse service with append-only tablesDatabase as a Service offering based on Apache CouchDBFully vectorized database across both GPUs and CPUsGlobally distributed, horizontally scalable, multi-model database service
Primary database modelTime Series DBMSRelational DBMSDocument storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.14
Rank#85  Overall
#6  Time Series DBMS
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score2.79
Rank#113  Overall
#21  Document stores
Score0.74
Rank#229  Overall
#105  Relational DBMS
Score30.39
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitewww.dolphindb.comcloud.google.com/­bigquerywww.ibm.com/­products/­cloudantwww.kinetica.comazure.microsoft.com/­services/­cosmos-db
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlcloud.google.com/­bigquery/­docscloud.ibm.com/­docs/­Cloudantdocs.kinetica.comlearn.microsoft.com/­azure/­cosmos-db
DeveloperDolphinDB, IncGoogleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014KineticaMicrosoft
Initial release20182010201020122014
Current releasev2.00.4, January 20227.1, August 2021
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangC, C++
Server operating systemsLinux
Windows
hostedhostedLinuxhosted
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes 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.nononono
Secondary indexesyesnoyesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLSQL-like query languageyesnoSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
RESTful HTTP/JSON APIRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresyesuser defined functions infoin JavaScriptView functions (Map-Reduce) in JavaScriptuser defined functionsJavaScript
Triggersnonoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeJavaScript
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Source-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoSince BigQuery is designed for querying datano infoatomic operations within a document possiblenoMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes
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.yesnonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlAdministrators, Users, GroupsAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users can be defined per databaseAccess rights for users and roles on table levelAccess rights can be defined down to the item level

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More resources
DolphinDBGoogle BigQueryIBM CloudantKineticaMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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