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DBMS > Databend vs. GigaSpaces vs. SurrealDB

System Properties Comparison Databend vs. GigaSpaces vs. SurrealDB

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGigaSpaces  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 complexityHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document store
Graph DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.gigaspaces.comsurrealdb.com
Technical documentationdocs.databend.comdocs.gigaspaces.com/­latest/­landing.htmlsurrealdb.com/­docs
DeveloperDatabend LabsGigaspaces TechnologiesSurrealDB Ltd
Initial release202120002022
Current release1.0.59, April 202315.5, September 2020v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source
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 languageRustJava, C++, .NetRust
Server operating systemshosted
Linux
macOS
Linux
macOS
Solaris
Windows
Linux
macOS
Windows
Data schemeyesschema-freeschema-free
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.nono infoXML can be used for describing objects metadata
Secondary indexesnoyes
SQL infoSupport of SQLyesSQL-99 for query and DML statementsSQL-like query language
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C++
Java
Python
Scala
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnoyes
Triggersnoyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesRole-based access controlyes, based on authentication and database rules

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DatabendGigaSpacesSurrealDB
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