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DBMS > Amazon Neptune vs. Faircom EDGE vs. GridDB vs. jBASE

System Properties Comparison Amazon Neptune vs. Faircom EDGE vs. GridDB vs. jBASE

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGridDB  Xexclude from comparisonjBASE  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsScalable in-memory time series database optimized for IoT and Big DataA robust multi-value DBMS comprising development tools and middleware
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Time Series DBMSMultivalue DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Websiteaws.amazon.com/­neptunewww.faircom.com/­products/­faircom-edgegriddb.netwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.griddb.netdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperAmazonFairCom CorporationToshiba CorporationRocket Software (formerly Zumasys)
Initial release2017197920131991
Current releaseV3, October 20205.1, August 20225.7
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++C++
Server operating systemshostedAndroid
Linux infoARM, x86
Raspbian
Windows
LinuxAIX
Linux
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyes infonumerical, string, blob, geometry, boolean, timestampoptional
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.noyesnoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infoANSI SQL queriesSQL92, SQL-like TQL (Toshiba Query Language)Embedded SQL for jBASE in BASIC
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++noyes
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning infoCustomizable business rules for partitioningShardingSharding
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 infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate consistency within container, eventual consistency across containers
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at container levelACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
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.yesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users can be defined per databaseAccess rights can be defined down to the item level
More information provided by the system vendor
Amazon NeptuneFaircom EDGE infoformerly c-treeEDGEGridDBjBASE
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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More resources
Amazon NeptuneFaircom EDGE infoformerly c-treeEDGEGridDBjBASE
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