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DBMS > Amazon Neptune vs. FatDB vs. ObjectBox vs. SurrealDB

System Properties Comparison Amazon Neptune vs. FatDB vs. ObjectBox vs. SurrealDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFatDB  Xexclude from comparisonObjectBox  Xexclude from comparisonSurrealDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionFast, reliable graph database built for the cloudA .NET NoSQL DBMS that can integrate with and extend SQL Server.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Object oriented DBMS
Vector DBMS
Document store
Graph DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score1.11
Rank#174  Overall
#30  Document stores
#17  Graph DBMS
Websiteaws.amazon.com/­neptunegithub.com/­objectbox
objectbox.io
surrealdb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.objectbox.iosurrealdb.com/­docs
DeveloperAmazonFatCloudObjectBox LimitedSurrealDB Ltd
Initial release2017201220172022
Current release4.0 (May 2024)v1.5.0, May 2024
License infoCommercial or Open SourcecommercialcommercialBindings are released under Apache 2.0 infoApache License 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C and C++Rust
Server operating systemshostedWindowsAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, plus "flex" map-like typesyes
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
Secondary indexesnoyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL ServernoSQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Proprietary native APIGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresnoyes infovia applicationsno
Triggersnoyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.selectable replication factorData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no infoCan implement custom security layer via applicationsyesyes, based on authentication and database rules
More information provided by the system vendor
Amazon NeptuneFatDBObjectBoxSurrealDB
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More resources
Amazon NeptuneFatDBObjectBoxSurrealDB
Recent citations in the news

How Apollo Tyres built their tyre genealogy solution using Amazon Neptune and Amazon Bedrock
25 September 2024, AWS Blog

How Amazon stores deliver trustworthy shopping and seller experiences using Amazon Neptune
18 September 2024, AWS Blog

Hydrating the Natural History Museum’s Planetary Knowledge Base with Amazon Neptune and Open Data on AWS
13 September 2024, AWS Blog

Amazon Neptune Analytics now supports openCypher queries over RDF Graphs
13 August 2024, AWS Blog

New Amazon Neptune engine version delivers up to 9 times faster and 10 times higher throughput for openCypher query performance
23 July 2024, AWS Blog

provided by Google News

SurrealDB Delivers Future-Ready Database Technology for Developers and Enterprises with Release of SurrealDB 2.0
17 September 2024, businesswire.com

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

Multi-model database startup SurrealDB raises $20M and announces cloud beta access
18 June 2024, SiliconANGLE News

SurrealDB Raises $20M To Disrupt Big Data Industry
20 June 2024, Datanami

SurrealDB Raises $20 Million to Disrupt Database Tech; Introduces New Cloud Beta Access
18 June 2024, PR Newswire

provided by Google News



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