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DBMS > Amazon Neptune vs. Faircom DB vs. ObjectBox

System Properties Comparison Amazon Neptune vs. Faircom DB vs. ObjectBox

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Extremely fast embedded database for small devices, IoT and Mobile
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Object oriented DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#119  Overall
#8  Graph DBMS
#5  RDF stores
Score0.53
Rank#228  Overall
#34  Key-value stores
#111  Relational DBMS
Score0.74
Rank#200  Overall
#9  Object oriented DBMS
Websiteaws.amazon.com/­neptunewww.faircom.com/­products/­faircom-dbobjectbox.io
Technical documentationaws.amazon.com/­neptune/­developer-resourceslearn.faircomcorp.com/­developers/­documentation_directorydocs.objectbox.io
DeveloperAmazonFairCom CorporationObjectBox Limited
Initial release201719792017
Current releaseV12, November 2020
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++C and C++
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Android
iOS
Linux
macOS
Windows
Data schemeschema-freeschema free, schema optional, schema required, partial schema,yes
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresyes
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.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsno
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
Proprietary native API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++no
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).online/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually ConsistentACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restYes, tunable from durable to delayed durability to in-memoryyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Fine grained access rights according to SQL-standard with additional protections for filesyes
More information provided by the system vendor
Amazon NeptuneFaircom DB infoformerly c-treeACEObjectBox
Specific characteristicsAchieve Hundreds of Thousands of Transactions Per Second on A Single Database Server...
» more
Competitive advantagesTop Features SQL Key-value store and navigational NoSQL API Indexed binary objects...
» more
Typical application scenariosReal-time transaction processing solutions leverage FairCom DB because its NoSQL...
» more
Key customersMicrosoft, UPS, Verizon, Motorola, Commvault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
Licensing and pricing modelsJust as the technical aspects of FairCom DB are flexible to meet operation requirements,...
» more
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We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon NeptuneFaircom DB infoformerly c-treeACEObjectBox
Recent citations in the news

Catching up with Amazon Neptune
26 November 2019, ZDNet

Amazon unveils dozens of machine learning tools
9 December 2020, TechRepublic

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

AWS Announces General Availability of Amazon Neptune
30 May 2018, Business Wire

AWS open-sources Graph Notebook to make working with graph databases easier
26 November 2020, SiliconANGLE News

provided by Google News

CGM signs new agreement to use FairCom DB
18 February 2021, PR Newswire UK

FairCom kicks off new era of database technology USA - English Brazil - Português
10 November 2020, PRNewswire

provided by Google News

ObjectBox has built a distributed database for the IoT
17 September 2019, Stacey on IoT

IIoT Edge Computing Market Analysis, Regional Outlook, Growth and Competitive Strategies by 2026 – NeighborWebSJ
12 April 2021, NeighborWebSJ

Munich-founded database startup ObjectBox raises $2 million
3 December 2018, Tech.eu

Global Object-Oriented Databases Software Market (2020) to Witness Huge Growth by 2026 | Google, Microsoft, InterSystems, DBase, Cyebiz, VelocityDB, and more – Jumbo News
12 April 2021, Jumbo News

Global Object-Oriented Databases Software Market Research Report 2020-2026 – Jumbo News
15 April 2021, Jumbo News

provided by Google News

Job opportunities

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