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DBMS > Amazon Neptune vs. Elasticsearch vs. FatDB vs. TimescaleDB vs. ToroDB

System Properties Comparison Amazon Neptune vs. Elasticsearch vs. FatDB vs. TimescaleDB vs. ToroDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonElasticsearch  Xexclude from comparisonFatDB  Xexclude from comparisonTimescaleDB  Xexclude from comparisonToroDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudA 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.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelGraph DBMS
RDF store
Search engineDocument store
Key-value store
Time Series DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Relational 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
Score132.83
Rank#7  Overall
#1  Search engines
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websiteaws.amazon.com/­neptunewww.elastic.co/­elasticsearchwww.timescale.comgithub.com/­torodb/­server
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.timescale.com
DeveloperAmazonElasticFatCloudTimescale8Kdata
Initial release20172010201220172016
Current release8.6, January 20232.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoElastic LicensecommercialOpen Source infoApache 2.0Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#CJava
Server operating systemshostedAll OS with a Java VMWindowsLinux
OS X
Windows
All OS with a Java 7 VM
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes infostring, integer, double, boolean, date, object_id
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.nonoyesno
Secondary indexesnoyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL-like query languageno infoVia inetgration in SQL Serveryes infofull PostgreSQL SQL syntax
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Java API
RESTful HTTP/JSON API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyesyes infovia applicationsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infoby using the 'percolation' featureyes infovia applicationsyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes, across time and space (hash partitioning) attributesSharding
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.yesselectable replication factorSource-replica replication with hot standby and reads on replicas infoSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationno
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 applicationsfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
Amazon NeptuneElasticsearchFatDBTimescaleDBToroDB
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