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DBMS > Amazon Neptune vs. Amazon Redshift vs. Faircom DB vs. OrigoDB

System Properties Comparison Amazon Neptune vs. Amazon Redshift vs. Faircom DB vs. OrigoDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudLarge scale data warehouse service for use with business intelligence toolsNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.A fully ACID in-memory object graph database
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value store
Relational DBMS
Document store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.63
Rank#108  Overall
#7  Graph DBMS
#5  RDF stores
Score25.85
Rank#31  Overall
#18  Relational DBMS
Score0.44
Rank#247  Overall
#38  Key-value stores
#116  Relational DBMS
Score0.00
Rank#351  Overall
#49  Document stores
#19  Object oriented DBMS
Websiteaws.amazon.com/­neptuneaws.amazon.com/­redshiftwww.faircom.com/­products/­faircom-dborigodb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.aws.amazon.com/­redshiftlearn.faircomcorp.com/­developers/­documentation_directoryorigodb.com/­docs
DeveloperAmazonAmazon (based on PostgreSQL)FairCom CorporationRobert Friberg et al
Initial release2017201219792009 infounder the name LiveDB
Current releaseV12, November 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial infoRestricted, free version availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCANSI C, C++C#
Server operating systemshostedhostedAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
Windows
Data schemeschema-freeyesschema free, schema optional, schema required, partial schema,yes
Typing infopredefined data types such as float or dateyesyesyes, ANSI SQL Types, JSON, typed binary structuresUser defined using .NET types and collections
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.nononono infocan be achieved using .NET
Secondary indexesnorestrictedyesyes
SQL infoSupport of SQLnoyes infodoes not fully support an SQL-standardyes, ANSI SQL with proprietary extensionsno
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
JDBC
ODBC
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
.NET Client API
HTTP API
LINQ
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
.Net
Server-side scripts infoStored proceduresnouser defined functions infoin Pythonyes info.Net, JavaScript, C/C++yes
Triggersnonoyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnoneShardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioninghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasyesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoinformational only, not enforced by the systemyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDtunable from ACID to Eventually ConsistentACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesYes, tunable from durable to delayed durability to in-memoryyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
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-standardFine grained access rights according to SQL-standard with additional protections for filesRole based authorization
More information provided by the system vendor
Amazon NeptuneAmazon RedshiftFaircom DB infoformerly c-treeACEOrigoDB
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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More resources
Amazon NeptuneAmazon RedshiftFaircom DB infoformerly c-treeACEOrigoDB
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