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DBMS > Databend vs. SurrealDB

System Properties Comparison Databend vs. SurrealDB

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonSurrealDB  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 fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
surrealdb.com
Technical documentationdocs.databend.comsurrealdb.com/­docs
DeveloperDatabend LabsSurrealDB Ltd
Initial release20212022
Current release1.0.59, April 2023v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustRust
Server operating systemshosted
Linux
macOS
Linux
macOS
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesno
SQL infoSupport of SQLyesSQL-like query language
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesyes, based on authentication and database rules

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More resources
DatabendSurrealDB
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