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DBMS > Amazon Neptune vs. Faircom DB vs. OrigoDB vs. SpaceTime vs. SQL.JS

System Properties Comparison Amazon Neptune vs. Faircom DB vs. OrigoDB vs. SpaceTime vs. SQL.JS

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonOrigoDB  Xexclude from comparisonSpaceTime  Xexclude from comparisonSQL.JS  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.A fully ACID in-memory object graph databaseSpaceTime is a spatio-temporal DBMS with a focus on performance.Port of SQLite to JavaScript
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Document store
Object oriented DBMS
Spatial DBMSRelational DBMS
Secondary database modelsRelational 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
Score0.18
Rank#314  Overall
#45  Key-value stores
#141  Relational DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score0.00
Rank#385  Overall
#7  Spatial DBMS
Score0.53
Rank#246  Overall
#115  Relational DBMS
Websiteaws.amazon.com/­neptunewww.faircom.com/­products/­faircom-dborigodb.comwww.mireo.com/­spacetimesql.js.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlorigodb.com/­docssql.js.org/­documentation/­index.html
DeveloperAmazonFairCom CorporationRobert Friberg et alMireoAlon Zakai infoenhancements implemented by others
Initial release201719792009 infounder the name LiveDB20202012
Current releaseV13, July 2024
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen SourcecommercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C#C++JavaScript
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema free, schema optional, schema required, partial schema,yesyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI SQL Types, JSON, typed binary structuresUser defined using .NET types and collectionsyesyes
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 infocan be achieved using .NETnono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyes, ANSI SQL with proprietary extensionsnoA subset of ANSI SQL is implementedyes infoSQL-92 is not fully supported
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
.NET Client API
HTTP API
LINQ
RESTful HTTP APIJavaScript 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
.NetC#
C++
Python
JavaScript
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yesnono
Triggersnoyesyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioninghorizontal partitioning infoclient side managed; servers are not synchronizedFixed-grid hypercubesnone
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.yes, 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 replicationReal-time block device replication (DRBD)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Immediate Consistencynone
Foreign keys infoReferential integrityyes infoRelationships in graphsyesdepending on modelnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually ConsistentACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restYes, tunable from durable to delayed durability to in-memoryyes infoWrite ahead logyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
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 filesRole based authorizationyesno

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More resources
Amazon NeptuneFaircom DB infoformerly c-treeACEOrigoDBSpaceTimeSQL.JS
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