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DBMS > Databend vs. Graph Engine vs. gStore vs. Microsoft Azure Synapse Analytics vs. Realm

System Properties Comparison Databend vs. Graph Engine vs. gStore vs. Microsoft Azure Synapse Analytics vs. Realm

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisongStore  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRealm  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 complexityA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA native Graph DBMS to store and maintain very large RDF datasets.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSGraph DBMS
Key-value store
Graph DBMS
RDF store
Relational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.14
Rank#342  Overall
#34  Graph DBMS
#16  RDF stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.graphengine.ioen.gstore.cnazure.microsoft.com/­services/­synapse-analyticsrealm.io
Technical documentationdocs.databend.comwww.graphengine.io/­docs/­manualen.gstore.cn/­#/­enDocsdocs.microsoft.com/­azure/­synapse-analyticsrealm.io/­docs
DeveloperDatabend LabsMicrosoftMicrosoftRealm, acquired by MongoDB in May 2019
Initial release20212010201620162014
Current release1.0.59, April 20231.2, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoBSDcommercialOpen Source
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 languageRust.NET and CC++C++
Server operating systemshosted
Linux
macOS
.NETLinuxhostedAndroid
Backend: server-less
iOS
Windows
Data schemeyesyesschema-free and OWL/RDFS-schema supportyesyes
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.nonononono
Secondary indexesnoyesyes
SQL infoSupport of SQLyesnonoyesno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
RESTful HTTP APIHTTP API
SPARQL 1.1
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C#
C++
F#
Visual Basic
C++
Java
JavaScript (Node.js)
PHP
Python
C#
Java
PHP
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnoyesyesTransact SQLno inforuns within the applications so server-side scripts are unnecessary
Triggersnononoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono 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 datayesnoyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-Memory realm
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesUsers, roles and permissions, Role-Based Access Control (RBAC) supportedyesyes

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More resources
DatabendGraph Engine infoformer name: TrinitygStoreMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRealm
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