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DBMS > atoti vs. SurrealDB vs. Valentina Server

System Properties Comparison atoti vs. SurrealDB vs. Valentina Server

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonSurrealDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A fully ACID transactional, developer-friendly, multi-model DBMSObject-relational database and reports server
Primary database modelObject oriented DBMSDocument store
Graph DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Score0.18
Rank#313  Overall
#140  Relational DBMS
Websiteatoti.iosurrealdb.comwww.valentina-db.net
Technical documentationdocs.atoti.iosurrealdb.com/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperActiveViamSurrealDB LtdParadigma Software
Initial release20221999
Current releasev1.5.0, May 20245.7.5
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRust
Server operating systemsLinux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
Secondary indexesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-like query languageyes
APIs and other access methodsGraphQL
RESTful HTTP API
WebSocket
ODBC
Supported programming languagesDeno
Go
JavaScript (Node.js)
Rust
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresPythonyes
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioning
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
atotiSurrealDBValentina Server
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