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DBMS > Databend vs. Microsoft Azure SQL Database vs. TerminusDB vs. Trino

System Properties Comparison Databend vs. Microsoft Azure SQL Database vs. TerminusDB vs. Trino

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTrino  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 complexityDatabase as a Service offering with high compatibility to Microsoft SQL ServerScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
RDF store
Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score0.19
Rank#311  Overall
#27  Graph DBMS
Score5.28
Rank#61  Overall
#35  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
azure.microsoft.com/­en-us/­products/­azure-sql/­databaseterminusdb.comtrino.io
Technical documentationdocs.databend.comdocs.microsoft.com/­en-us/­azure/­azure-sqlterminusdb.github.io/­terminusdb/­#trino.io/­broadcast
trino.io/­docs/­current
DeveloperDatabend LabsMicrosoftDataChemist Ltd.Trino Software Foundation
Initial release2021201020182012 info2020 rebranded from PrestoSQL
Current release1.0.59, April 2023V1211.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL V3Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++Prolog, RustJava
Server operating systemshosted
Linux
macOS
hostedLinuxLinux
macOS infofor devlopment
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnono
Secondary indexesnoyesdepending on connected data-source
SQL infoSupport of SQLyesyesSQL-like query language (WOQL)yes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnoTransact SQLyesyes, depending on connected data-source
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneGraph Partitioningdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, with always 3 replicas availableJournaling Streamsdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingdepending on connected data-source
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardRole-based access controlSQL standard access control
More information provided by the system vendor
DatabendMicrosoft Azure SQL Database infoformerly SQL AzureTerminusDB infoformer name was DataChemistTrino
News

23 is a go, keeping pace with Java
17 September 2024

65: Performance boosts
12 September 2024

64: Control with Open Policy Agent OPA
22 August 2024

63: Querying with JS
1 August 2024

62: A lakehouse that simply works at Prezi
11 July 2024

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More resources
DatabendMicrosoft Azure SQL Database infoformerly SQL AzureTerminusDB infoformer name was DataChemistTrino
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