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DBMS > Dgraph vs. Microsoft Azure Synapse Analytics vs. QuestDB vs. TDSQL for MySQL vs. Valentina Server

System Properties Comparison Dgraph vs. Microsoft Azure Synapse Analytics vs. QuestDB vs. TDSQL for MySQL vs. Valentina Server

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonQuestDB  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA high performance open source SQL database for time series dataA 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.Object-relational database and reports server
Primary database modelGraph DBMSRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitedgraph.ioazure.microsoft.com/­services/­synapse-analyticsquestdb.iowww.tencentcloud.com/­products/­dcdbwww.valentina-db.net
Technical documentationdgraph.io/­docsdocs.microsoft.com/­azure/­synapse-analyticsquestdb.io/­docswww.tencentcloud.com/­document/­product/­1042valentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDgraph Labs, Inc.MicrosoftQuestDB Technology IncTencentParadigma Software
Initial release20162016201420131999
Current release5.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Java (Zero-GC), C++, Rust
Server operating systemsLinux
OS X
Windows
hostedLinux
macOS
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeyesyes infoschema-free via InfluxDB Line Protocolyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesnoyesyes
SQL infoSupport of SQLnoyesSQL with time-series extensionsyesyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
ODBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
PHP
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C#
C++
Java
PHP
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoTransact SQLnoyesyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesyesSharding, horizontal partitioninghorizontal partitioning (by timestamps)Automatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftyesSource-replica replication with eventual consistencyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yes infothrough memory mapped filesnoyes
User concepts infoAccess controlno infoPlanned for future releasesyesUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard
More information provided by the system vendor
DgraphMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuestDBTDSQL for MySQLValentina Server
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DgraphMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseQuestDBTDSQL for MySQLValentina Server
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