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DBMS > Amazon Neptune vs. FatDB vs. Google Cloud Firestore vs. Splunk

System Properties Comparison Amazon Neptune vs. FatDB vs. Google Cloud Firestore vs. Splunk

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFatDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonSplunk  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionFast, reliable graph database built for the cloudA .NET NoSQL DBMS that can integrate with and extend SQL Server.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Analytics Platform for Big Data
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Document storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score7.36
Rank#53  Overall
#9  Document stores
Score89.10
Rank#14  Overall
#2  Search engines
Websiteaws.amazon.com/­neptunefirebase.google.com/­products/­firestorewww.splunk.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesfirebase.google.com/­docs/­firestoredocs.splunk.com/­Documentation/­Splunk
DeveloperAmazonFatCloudGoogleSplunk Inc.
Initial release2017201220172003
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#
Server operating systemshostedWindowshostedLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL Servernono infoSplunk Search Processing Language for search commands
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP REST
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C#Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infovia applicationsyes, Firebase Rules & Cloud Functionsyes
Triggersnoyes infovia applicationsyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
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.selectable replication factorMulti-source replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesUsing Cloud Dataflowyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)no infoCan implement custom security layer via applicationsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users and roles

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More resources
Amazon NeptuneFatDBGoogle Cloud FirestoreSplunk
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