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DBMS > Amazon Neptune vs. Citus vs. Elasticsearch vs. FatDB

System Properties Comparison Amazon Neptune vs. Citus vs. Elasticsearch vs. FatDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCitus  Xexclude from comparisonElasticsearch  Xexclude from comparisonFatDB  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 cloudScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricA .NET NoSQL DBMS that can integrate with and extend SQL Server.
Primary database modelGraph DBMS
RDF store
Relational DBMSSearch engineDocument store
Key-value store
Secondary database modelsDocument storeDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Websiteaws.amazon.com/­neptunewww.citusdata.comwww.elastic.co/­elasticsearch
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.citusdata.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperAmazonElasticFatCloud
Initial release2017201020102012
Current release8.1, December 20188.6, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL, commercial license also availableOpen Source infoElastic Licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC#
Server operating systemshostedLinuxAll OS with a Java VMWindows
Data schemeschema-freeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-free
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.noyes infospecific XML type available, but no XML query functionalityno
Secondary indexesnoyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsSQL-like query languageno infoVia inetgration in SQL Server
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP/JSON API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesyes infovia applications
Triggersnoyesyes infoby using the 'percolation' featureyes infovia applications
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.Source-replica replication infoother methods possible by using 3rd party extensionsyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectoryes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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.noMemcached and Redis integration
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-standardno infoCan implement custom security layer via applications

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More resources
Amazon NeptuneCitusElasticsearchFatDB
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