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DBMS > HEAVY.AI vs. SurrealDB vs. Valentina Server

System Properties Comparison HEAVY.AI vs. SurrealDB vs. Valentina Server

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSurrealDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA fully ACID transactional, developer-friendly, multi-model DBMSObject-relational database and reports server
Primary database modelRelational DBMSDocument store
Graph DBMS
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.40
Rank#153  Overall
#71  Relational DBMS
Score1.07
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
Score0.16
Rank#320  Overall
#142  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
surrealdb.comwww.valentina-db.net
Technical documentationdocs.heavy.aisurrealdb.com/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperHEAVY.AI, Inc.SurrealDB LtdParadigma Software
Initial release201620221999
Current release5.10, January 2022v1.5.0, May 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition 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 languageC++ and CUDARust
Server operating systemsLinuxLinux
macOS
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyes
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.no
Secondary indexesnoyes
SQL infoSupport of SQLyesSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
GraphQL
RESTful HTTP API
WebSocket
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
Deno
Go
JavaScript (Node.js)
Rust
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022SurrealDBValentina Server
Recent citations in the news

5 Q’s for Mike Flaxman, Vice President of Heavy.AI
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