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DBMS > Databend vs. H2 vs. Microsoft Azure SQL Database

System Properties Comparison Databend vs. H2 vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonH2  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  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 complexityFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Database as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.h2database.comazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdocs.databend.comwww.h2database.com/­html/­main.htmldocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperDatabend LabsThomas MuellerMicrosoft
Initial release202120052010
Current release1.0.59, April 20232.2.220, July 2023V12
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJavaC++
Server operating systemshosted
Linux
macOS
All OS with a Java VMhosted
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.nonoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLyesyesyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Java.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined FunctionsTransact SQL
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.yes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DatabendH2Microsoft Azure SQL Database infoformerly SQL Azure
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