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DBMS > Databend vs. DolphinDB vs. Heroic vs. Microsoft Azure Synapse Analytics vs. MonetDB

System Properties Comparison Databend vs. DolphinDB vs. Heroic vs. Microsoft Azure Synapse Analytics vs. MonetDB

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonDolphinDB  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDolphinDB 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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA relational database management system that stores data in columns
Primary database modelRelational DBMSTime Series 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
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.dolphindb.comgithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticswww.monetdb.org
Technical documentationdocs.databend.comdocs.dolphindb.cn/­en/­help200/­index.htmlspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analyticswww.monetdb.org/­Documentation
DeveloperDatabend LabsDolphinDB, IncSpotifyMicrosoftMonetDB BV
Initial release20212018201420162004
Current release1.0.59, April 2023v2.00.4, January 2022Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community version availableOpen Source infoApache 2.0commercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++JavaC++C
Server operating systemshosted
Linux
macOS
Linux
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
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 indexesnoyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLyesSQL-like query languagenoyesyes infoSQL 2003 with some extensions
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
Java
PHP
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnoyesnoTransact SQLyes, in SQL, C, R
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingSharding, horizontal partitioningSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesyesnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesnoACIDACID
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.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAdministrators, Users, Groupsyesfine grained access rights according to SQL-standard

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More resources
DatabendDolphinDBHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMonetDB
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