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DBMS > AgensGraph vs. GigaSpaces vs. SurrealDB

System Properties Comparison AgensGraph vs. GigaSpaces vs. SurrealDB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGigaSpaces  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHigh 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 modelGraph DBMS
Relational DBMS
Document 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
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  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
Websitebitnine.net/­agensgraphwww.gigaspaces.comsurrealdb.com
Technical documentationbitnine.net/­documentationdocs.gigaspaces.com/­latest/­landing.htmlsurrealdb.com/­docs
DeveloperBitnine Global Inc.Gigaspaces TechnologiesSurrealDB Ltd
Initial release201620002022
Current release2.1, December 201815.5, September 2020v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache License 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 languageCJava, C++, .NetRust
Server operating systemsLinux
OS X
Windows
Linux
macOS
Solaris
Windows
Linux
macOS
Windows
Data schemedepending on used data modelschema-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 indexesyesyes
SQL infoSupport of SQLyesSQL-99 for query and DML statementsSQL-like query language
APIs and other access methodsCypher Query Language
JDBC
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC
Java
JavaScript
Python
.Net
C++
Java
Python
Scala
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyesyes
Triggersnoyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-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 integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlyes, based on authentication and database rules

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More resources
AgensGraphGigaSpacesSurrealDB
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