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DBMS > Amazon Neptune vs. Faircom EDGE vs. GeoMesa vs. KairosDB

System Properties Comparison Amazon Neptune vs. Faircom EDGE vs. GeoMesa vs. KairosDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGeoMesa  Xexclude from comparisonKairosDB  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 environmentsGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Distributed Time Series DBMS based on Cassandra or H2
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Spatial DBMSTime 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
Score0.02
Rank#370  Overall
#55  Key-value stores
#157  Relational DBMS
Score0.78
Rank#214  Overall
#4  Spatial DBMS
Score0.60
Rank#238  Overall
#20  Time Series DBMS
Websiteaws.amazon.com/­neptunewww.faircom.com/­products/­faircom-edgewww.geomesa.orggithub.com/­kairosdb/­kairosdb
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmlkairosdb.github.io
DeveloperAmazonFairCom CorporationCCRi and others
Initial release2017197920142013
Current releaseV3, October 20205.0.1, July 20241.2.2, November 2018
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoApache License 2.0Open Source infoApache 2.0
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++ScalaJava
Server operating systemshostedAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
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 Typesyesyes
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.noyesnono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyes infoANSI SQL queriesnono
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
Graphite protocol
HTTP REST
Telnet API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++nono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning infoCustomizable business rules for partitioningdepending on storage layerSharding infobased on Cassandra
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 logsdepending on storage layerselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
depending on storage layerEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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.yesdepending on storage layerno
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.yes infodepending on the DBMS used for storagesimple password-based access control

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More resources
Amazon NeptuneFaircom EDGE infoformerly c-treeEDGEGeoMesaKairosDB
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