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DBMS > Amazon Neptune vs. CouchDB vs. Microsoft Azure Synapse Analytics vs. TempoIQ vs. ToroDB

System Properties Comparison Amazon Neptune vs. CouchDB vs. Microsoft Azure Synapse Analytics vs. TempoIQ vs. ToroDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonToroDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable analytics DBMS for sensor data, provided as a service (SaaS)A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelGraph DBMS
RDF store
Document storeRelational DBMSTime Series DBMSDocument store
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
Score9.30
Rank#45  Overall
#7  Document stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websiteaws.amazon.com/­neptunecouchdb.apache.orgazure.microsoft.com/­services/­synapse-analyticstempoiq.com (offline)github.com/­torodb/­server
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.couchdb.org/­en/­stabledocs.microsoft.com/­azure/­synapse-analytics
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMicrosoftTempoIQ8Kdata
Initial release20172005201620122016
Current release3.3.3, December 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++Java
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
hostedAll OS with a Java 7 VM
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes 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.nonononono
Secondary indexesnoyes infovia viewsyes
SQL infoSupport of SQLnonoyesno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C#
Java
PHP
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnoView functions in JavaScriptTransact SQLno
Triggersnoyesnoyes infoRealtime Alertsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0Sharding, horizontal partitioningSharding
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
yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
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.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per databaseyessimple authentication-based access controlAccess rights for users and roles

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More resources
Amazon NeptuneCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTempoIQ infoformerly TempoDBToroDB
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