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DBMS > Amazon Neptune vs. Apache Drill vs. CouchDB vs. Coveo vs. IRONdb

System Properties Comparison Amazon Neptune vs. Apache Drill vs. CouchDB vs. Coveo vs. IRONdb

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Drill  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonCoveo  Xexclude from comparisonIRONdb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Document storeSearch engineTime Series DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score2.28
Rank#114  Overall
#11  Search engines
Websiteaws.amazon.com/­neptunedrill.apache.orgcouchdb.apache.orgwww.coveo.comwww.circonus.com/solutions/time-series-database/
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdrill.apache.org/­docsdocs.couchdb.org/­en/­stabledocs.coveo.comdocs.circonus.com/irondb/category/getting-started
DeveloperAmazonApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCoveoCirconus LLC.
Initial release20172012200520122017
Current release1.20.3, January 20233.3.3, December 2023V0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC and C++
Server operating systemshostedLinux
OS X
Windows
Android
BSD
Linux
OS X
Solaris
Windows
hostedLinux
Data schemeschema-freeschema-freeschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes infotext, numeric, histograms
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.nonononono
Secondary indexesnonoyes infovia viewsyesno
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliantnonoSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIRESTful HTTP APIHTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C#
Java
JavaScript
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnouser defined functionsView functions in JavaScriptnoyes, in Lua
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoimproved architecture with release 2.0yesAutomatic, metric affinity per node
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.Multi-source replication
Source-replica replication
yesconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoatomic operations within a single document possibleyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Depending on the underlying data sourceAccess rights for users can be defined per databasegranular access controls, API key management, content filtersno

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Amazon NeptuneApache DrillCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"CoveoIRONdb
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