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DBMS > Kinetica vs. SurrealDB

System Properties Comparison Kinetica vs. SurrealDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSDocument store
Graph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.50
Rank#247  Overall
#116  Relational DBMS
Score1.08
Rank#176  Overall
#30  Document stores
#16  Graph DBMS
Websitewww.kinetica.comsurrealdb.com
Technical documentationdocs.kinetica.comsurrealdb.com/­docs
DeveloperKineticaSurrealDB Ltd
Initial release20122022
Current release7.1, August 2021v1.5.0, May 2024
License infoCommercial or Open SourcecommercialOpen 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 languageC, C++Rust
Server operating systemsLinuxLinux
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 indexesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresuser defined functions
Triggersyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes
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 persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles on table levelyes, based on authentication and database rules

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More resources
KineticaSurrealDB
Recent citations in the news

Kinetica: AI is a ‘killer app’ for data analytics
2 May 2023, Blocks and Files

How GPUs Are Helping Paris’ Public Hospital System Combat the Spread of COVID-19
15 October 2020, NVIDIA Blog

GPU Database Market Size, Share & Trends Report, 2030
29 July 2024, Grand View Research

Kinetica rolls machine learning libraries into its GPU-powered database
24 January 2017, SiliconANGLE

Kinetica: Fusing Geospatial And Time-Series Data Sets And Processing Spatiotemporal Analytics
26 July 2023, Pulse 2.0

provided by Google News

SurrealDB Launches Surreal Cloud, a Fully Managed Database Service That Tackles the Complexity Issues Faced by Developer Teams
7 December 2024, insideAI News

SurrealDB Empowers Developers to Build Applications with the Launch of SurrealDB University
15 October 2024, Business Wire

SurrealDB's Surreal Cloud debuts on AWS S3 for scalable multimodel database as a service
4 December 2024, SiliconANGLE

SurrealDB is helping developers consolidate their databases
18 June 2024, TechCrunch

London-based SurrealDB secures over €18.6 million aiming to disrupt database technology
18 June 2024, EU-Startups

provided by Google News



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