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DBMS > DolphinDB vs. Microsoft Azure Synapse Analytics vs. TDSQL for MySQL

System Properties Comparison DolphinDB vs. Microsoft Azure Synapse Analytics vs. TDSQL for MySQL

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTDSQL for MySQL  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.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.14
Rank#85  Overall
#6  Time Series DBMS
Score23.95
Rank#30  Overall
#18  Relational DBMS
Score0.85
Rank#214  Overall
#98  Relational DBMS
Websitewww.dolphindb.comazure.microsoft.com/­services/­synapse-analyticswww.tencentcloud.com/­products/­dcdb
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.microsoft.com/­azure/­synapse-analyticswww.tencentcloud.com/­document/­product/­1042
DeveloperDolphinDB, IncMicrosoftTencent
Initial release201820162013
Current releasev2.00.4, January 2022
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++C++
Server operating systemsLinux
Windows
hostedhosted
Data schemeyesyesyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
Java
PHP
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesTransact SQLyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding, horizontal partitioningAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
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, GroupsyesUsers with fine-grained authorization concept

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More resources
DolphinDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTDSQL for MySQL
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