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DBMS > Amazon Neptune vs. Faircom EDGE vs. Lovefield vs. NSDb vs. SwayDB

System Properties Comparison Amazon Neptune vs. Faircom EDGE vs. Lovefield vs. NSDb vs. SwayDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonLovefield  Xexclude from comparisonNSDb  Xexclude from comparisonSwayDB  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 environmentsEmbeddable relational database for web apps written in pure JavaScriptScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMSTime Series DBMSKey-value store
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
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websiteaws.amazon.com/­neptunewww.faircom.com/­products/­faircom-edgegoogle.github.io/­lovefieldnsdb.ioswaydb.simer.au
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdnsdb.io/­Architecture
DeveloperAmazonFairCom CorporationGoogleSimer Plaha
Initial release20171979201420172018
Current releaseV3, October 20202.1.12, February 2017
License infoCommercial or Open Sourcecommercialcommercial infoRestricted, free version availableOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoGNU Affero GPL V3.0
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++JavaScriptJava, ScalaScala
Server operating systemshostedAndroid
Linux infoARM, x86
Raspbian
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS
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: int, bigint, decimal, stringno
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.noyesnonono
Secondary indexesnoyesyesall fields are automatically indexedno
SQL infoSupport of SQLnoyes infoANSI SQL queriesSQL-like query language infovia JavaScript builder patternSQL-like query languageno
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
gRPC
HTTP REST
WebSocket
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
JavaScriptJava
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++nonono
TriggersnoyesUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning infoCustomizable business rules for partitioningnoneShardingnone
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 logsnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infowhen using SQLyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes, by using IndexedDB or the cloud service Firebase Realtime DatabaseUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByes
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.nono

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More resources
Amazon NeptuneFaircom EDGE infoformerly c-treeEDGELovefieldNSDbSwayDB
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